RemoteMatch
Role Hub

Remote Data Engineering & Analytics Jobs

RemoteMatch helps data professionals find verified remote positions in data warehousing, analytics engineering, and streaming pipelines. Review cloud data architectures and salary bands before applying.

Browse remote data opportunities modeling high-volume transaction feeds, real-time analytics, and modern cloud warehouses.

Relevant skills:PythonSQLdbtSnowflakeETLPostgreSQL

Data & Analytics Listings

Showing 97–120 of 2595 verified active positions

Interactive Match Deck
Full-time

Mosaic is a leading North American Integrated Marketing Agency, specialized in connecting with consumers through Experiential Marketing, B2B, Sales & Merchandising, and Shopper Marketing. At Mosaic, we are never satisfied with the status quo and are in constant search for new ideas and new ways to help our clients build their brands amidst the evolving dynamics of empowered consumers and leveraging new technologies. The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights, optimizing program measurement to drive field team success, and constantly engaging with the team to better understand where they can have the greatest impact. The analyst will leverage business and market relevant information to make data-driven decisions that allow Mosaic to achieve its sales and marketing objectives and quickly adapt tactics. The analyst will play a key role in evolving, leading, and growing the data-driven discipline within the program they support. The Incumbent(s) in this position should exhibit the following values: People Minded – Must show dignity and respect to all people Integrity – Must exemplify the highest degree of ethical behavior Results Oriented – Must show passion, pride and commitment to succeed Trust – Must be honest, sincere and confident Teamwork – Must build trusting relationships Innovation – Must progress through a combination of creativity,

US
Full-time

About Egen : Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team. Want to learn more about life at Egen ? Check out these resources in addition to the job description. Meet Egen Life at Egen Culture and Values at Egen Career Development at Egen Benefits at Egen Responsibilities Be part of the end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on Google Cloud Platform (GCP) using BigQuery, GCS, BigLake, and Dataplex Collaborate directly with customers to understand business goals, data challenges, and technical requirements; translate them into robust architectural blueprints and actionable plans Design and implement data pipelines supporting both real-time and batch ingestion using modern orchestration and streaming frameworks Establish and enforce best practices for data cataloging, metadata management, lineage, and data qual

US

Fluence (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future. For more information, please visit fluenceenergy.com. Job Description: EMPLOYER: Fluence Energy, LLC TITLE: Analytics & Reporting Lead - Technology, Data & Analytics LOCATION: 2107 Wilson Boulevard, Suite 900, Arlington, VA 22201 (100% remote work permitted) DUTIES: Accountable for defining and implementing analytics tools for SAP, including Standard Reporting, Analysis for Office, SAP Analytics Cloud SAP HANA, and SAP Business Objects. Lead an analytics team to develop & design best in class analytics solutions to support the business. Build pipelines to our data lake / data warehouse. Understand and document business requirements; analyze existing and/or new information and applications; propose potential solutions; and execute selected technology solutions. Lead for the design, development, implementation, training and support of the SAP Reporting and analytics solutions. Lead SAP report and analytics support team onshore and offshore. Work with and advise the QA team on the design of test plans, test cases and on automation. Help and review

US
Full-time

As Blend’s Databricks Field CTO, you will help grow our Databricks business across North America, combining executive advisory, technical pre-sales, and architecture leadership. You will work with Blend Client Partners, Business Development leaders, and Databricks field teams to identify opportunities, shape engagements, and help clients translate their data and AI ambitions into production solutions. You will serve as a senior technical authority for Databricks engagements, guiding platform decisions and helping delivery teams navigate complex architecture, integration, governance, and operational challenges. Internally, you will work with architects, data engineers, and AI practitioners globally to establish standards, strengthen technical capabilities, and develop reusable solutions and accelerators. You bring deep technical credibility, commercial judgment, and enthusiasm for data and AI. You are equally comfortable whiteboarding with engineers, leading a client executive discussion, and working alongside delivery teams to resolve a difficult technical problem. Responsibilities Platform Architecture and Technical Pre-Sales Partner with Blend’s Client Partners and Business Development leaders to shape Databricks opportunities, supporting discovery, proposals, architecture workshops, demonstrations, and hands-on labs. Translate client priorities into solution architectures, delivery roadmaps, effort estimates, and clearly defined business outcomes. Design architectures span

US

SUMMARY The Analyst - Data & Analytics role is responsible for owning analytical projects from question to answer, delivering work that holds up under review and is reused by others. The role operates from established metric definitions and engineering conventions rather than creating new ones, and works directly with business stakeholders up to Director level. ESSENTIAL JOB FUNCTIONS To perform this job successfully, an individual must be able to satisfactorily perform each essential function listed below. Take a defined problem, produce a plan, and execute it with light review, delivering work that holds up under peer review and is reused by others. Translate business questions into answerable analyses with guidance, selecting appropriate descriptive and inferential methods. Build dashboards and reports for intermediate questions using the team's agreed metric definitions, escalating when a definition is missing rather than creating a competing one. Add transformation models with tests and documentation, following the conventions of the existing version-controlled project. Run a designed test or controlled comparison end to end, covering hypothesis, power calculation, sample sizing, and readout, and communicate uncertainty rather than omitting it. Investigate data quality problems and route them to the teams that own the source, rather than patching around them downstream. Apply data classification and access controls correctly, and raise privacy questions rather than w

US

We are looking for a Data Operations Analyst to join our Operations team. In this role, you will support the processing of client deliverables, product coding, data validation, and quality control activities across various industries such as Information Technology, Home Appliances and Automotive Products. You will play a key role in ensuring accurate and timely delivery of high-quality data and insights to our clients. Responsibilities Ensure data integrity throughout all stages of data processing. Verify the accuracy, completeness, and validity of processed data. Investigate, resolve, and escalate data quality issues raised by supervisors or clients. Maintain effective communication and collaboration with relevant Operations teams to ensure timely delivery and client satisfaction. Adhere to company regional and global operational standards at all times. Support departmental projects and other operational duties as assigned. Receive and process Technology and Durable Goods data submitted by retailers. Clean, standardize, and transform retailer data to align with NIQ's internal system requirements and formatting standards. Perform data validation checks to ensure consistency and accuracy before data submission. Contribute to continuous process improvement initiatives to enhance operational efficiency and data quality. Currently pursuing a Bachelor's Degree in Statistics, Mathematics, Economics, or a related field. High degree of accuracy, proactivity, and attention to detail.

Worldwide

Company overview: Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail. Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight. We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work. Note: Please submit your resume in English, as all application materials must be in English for review and consideration. Position overview Blue Orange Digital is seeking a Senior Data Engineer with genuine agentic systems depth for a full-time, 6-month embedded engagement in a private-capital data environment. This is a deliberately merged role: roughly half senior data engineering — Snowflake, dbt, Airflow, AWS, Python ingestion — and half senior LLM/agentic engineering, spanning production agents, MCP servers, evaluation practice, and observability. You will work on two core initiatives: an AI-Ready Data Catalog & Context Layer built alongside the Data Analytics team, and Unstructured Data Extraction at scale, with agentic implementation, evaluation, and orchestration as the throughline across both. This is not a pipeline-maintenance seat; we are looking for someone who has already shipped

Worldwide

Alimentiv is a global CRO with a singular focus: advancing therapies for patients with gastrointestinal diseases. GI is our WHY and for more than 30 years that purpose has driven our scientific rigour, operational excellence, and deep therapeutic expertise, including supporting more than 70% of IBD compounds in development. We operate as a private, profit-with-purpose company, channeling our commercial success back into scientific research, technology, and our people. With approximately 700 people across multiple countries and three service lines, we are growing deliberately, and the capability of our leaders and our organization is central to how we get there. If you want to do meaningful work, build something real, and invest back in research that changes lives — we want to meet you! Job Overview As a Clinical Database Programmer (internally referred to as Database Programmer ), you will support the development, testing and maintenance of Electronic Data Capture (EDC) systems used in clinical trials. Working within a collaborative and innovative technical team, you will be involved in building clinical studies, developing electronic Case Report Forms (eCRFs), configuring edit checks and supporting data integrations, primarily using Medidata Rave. You will also have opportunities to contribute to new initiatives, explore AI-driven solutions and support continuous improvements in study development and operational efficiency. Key Responsibilities Design, build, test and mainta

EU/EEA

The Data Mining Specialist role will require a high level of expertise in identifying, developing, and implementing effective data mining queries. This individual must have extensive knowledge across multiple lines of business, including Medicare, Medicaid, and Commercial claims, as well as experience navigating multiple claims payment systems. The role also requires the ability to analyze complex claims, identify payment anomalies and new recovery opportunities, and translate findings into accurate, actionable data mining concepts. These capabilities are critical to maintaining a strong pipeline of opportunities and adapting concepts and query logic across different client environments. *Base Pay Range: $93,900 - $134,100/yr For more information on benefits and what we offer please visit us at Originally posted on Himalayas

US

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help improve machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device or VR testing). This is a flexible, task-based role with the opportunity to participate in multiple projects over time. Responsibilities Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation Participate in remote assignments or attend on-site sessions when required Follow project guidelines and ensure high-quality task completion Provide feedback and input during testing activities Complete tasks within given timelines Requirements Must be based in the United States Strong attention to detail and ability to follow instructions Basic computer skills and familiarity with digital tools Reliable internet connection and access to a computer or smartphone Availability to participate in task-based work (schedule may vary) Nice to Have Previous experience in data annotation, QA, or testing Interest in AI, machine learning, or emerging technologies What We Offer Paid, flexible task-based work Opportunity to work on innovative AI/ML projects Exposure to cutting-edge technologies (including device and VR testing) Potential for ongoing project participation Orig

US
Better Homes and Gardens Real Estate Advantage Realty

Real Estate Data Entry Operator

Full-time

In your role as a Real Estate Data Entry Operator, you will be responsible for maintaining, organizing, and updating the organization's real estate database. Your duties will include accurately entering property information, verifying records, and ensuring that all data remains complete and up to date. The ideal candidate will possess strong organizational skills, excellent attention to detail, and the ability to work independently while maintaining accuracy and productivity remotely. Pay: $27.81 - $29.97 per hour Responsibilities Update and add transactions, client information, and real estate data to the database. Examine and amend data to make sure it is accurate and comprehensive. Collaborate with your teammates to resolve any discrepancies found in the data. Be mindful of privacy and abide by data security regulations. Assist in creating reports and presentations using the data acquired. Performing secretarial duties entails filing, monitoring office supplies, scanning, and printing as needed. A high school certificate or its equivalent; a bachelor's degree is ideal but not necessary. Solid background in data entry or a related field. Strong command of the language and procedures used in real estate. A strong command of computers, including the MS Office suite and data input programs. Remarkable precision and attention to detail. The capacity to operate autonomously with little guidance. Outstanding organizing and time management skills. Good communication abilities, par

US
Full-time

What is this position about? We are looking for a Data Quality Engineer with strong experience in Azure and Databricks to ensure data quality, reliability, and consistency across modern data platforms. This role focuses on validating data pipelines, implementing automated quality checks, and collaborating closely with Data Engineering and business teams to guarantee accurate and production-ready data assets. Design and implement a data quality framework across Bronze, Silver, and Gold layers — defining validation rules, threshold tolerances, and alerting standards Build and maintain automated data quality checks within Databricks pipelines — row counts, null checks, referential integrity, schema validation, and business rule assertions Own reconciliation between source systems and Databricks layers — ensuring source data lands accurately and transformations produce expected outputs Validate identity resolution outputs in the Silver layer — reviewing match rates, investigating false positives and false negatives, and ensuring enterprise identifiers are being assigned correctly across source populations Perform end-to-end pipeline testing — validating that data flows correctly from ingestion through to the Gold layer and that downstream reporting outputs reflect accurate data Partner with Data Engineers to define acceptance criteria for each sprint’s pipeline and data model deliverables before they are promoted to production Support UAT with client business stakeholders — helpi

Timezone restricted

About the role We are building the next generation of large-scale recommendation and personalization platforms that power data-driven experiences across multiple business domains. As a Senior Java Engineer, you will operate at the intersection of distributed systems, high-volume data processing, and production machine learning. This role is designed for engineers who thrive in complex environments, enjoy solving deep scalability challenges, and want to influence architecture and engineering excellence at scale. You will play a key role in bridging data science innovation with reliable production systems, enabling high-performance ML pipelines and resilient microservice architectures that serve millions of users. What you'll do Design, develop, and maintain high-performance backend services using Java and Spring Boot Build and optimize large-scale data processing pipelines using Apache Spark and Spark SQL Contribute to the architecture and implementation of distributed systems and data-driven platforms Collaborate closely with data scientists and ML engineers to productionize machine learning models Develop and maintain high-scale recommendation and personalization engines Ensure clean, maintainable, and well-tested code, applying best practices and design patterns Improve system performance, scalability, and reliability in enterprise production environments Participate in technical design discussions and contribute to long-term platform evolution Support orchestration and aut

Worldwide

Hi, we're Oscar . We're hiring a Provider Data Operations Lead to join our Network Operations. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Provider Data Operations Lead is a provider data and production workflow expert within a payor healthcare environment. This role is responsible for creating, implementing, and optimizing production workflows while driving team performance against established goals and KPIs. The Lead provides day-to-day coaching and leadership to support staff and partners with cross-functional stakeholders to develop workflow solutions that improve operational efficiency, data accuracy, quality, and overall team performance. You will report into the Manager, Provider Data Operations. Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. Pay Transparency: The base pay for this role is: $55,890 - $73,355 per year. You are also eligible for employee benefits, participation in Oscar 's unlimited vacation program and annual performan

Worldwide

Application Deadline: 11/06/2026 Address: VIRTUAL(R)59 - REMOTE/TELETRAVAIL - ON - BMO Job Family Group: Data Analytics & Reporting We are seeking an experienced Lead Data Business Analyst to support the BMO Global Asset Management ( BMO GAM) business as part of the Investment Solutions and Delivery team. In this role, you will drive the end-to-end delivery of data-centric investment solutions, from requirements gathering and documentation through data analysis, testing, and final implementation, ensuring solutions enable accurate, timely, and fact-based investment and business decisions. You will partner closely with Investment teams, Investment Operations, Risk, Compliance, Institutional Sales, Technology, Data Platform teams, external service providers and other business areas to translate business objectives into clear, testable data and solution requirements. You will help ensure that delivered solutions satisfy approved business outcomes, data requirements, control expectations, and acceptance criteria. You will also contribute to the strategy and roadmap for investment data quality, data modeling, reporting, and analytics, including clear documentation of data definitions, data lineage, and business processes across the investment data lifecycle. Key Responsibilities: Requirements Gathering & Documentation Leads requirements gathering sessions with Portfolio and/or Product Managers, Investment Operations, Risk, Compliance, Institutional Sales, Technology, and o

Worldwide
Full-time

Cerro Wire LLC As a part of the global industrial organization Marmon Holdings —which is backed by Berkshire Hathaway—you’ll be doing things that matter, leading at every level, and winning a better way. We’re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone’s empowered to be their best. At Marmon Electrical , we power a bright future for millions of people around the world. From homes to industries that shape lives, we deliver solutions that keep people connected and energized—and it all starts with you. We’re doing things that matter. Our electrical engineering solutions impact millions worldwide through safe and dependable energy supply. We deliver electrical solutions from the ocean depths to outer space. As part of Marmon, you’re helping keep millions worldwide healthy, connected and safe. Cerrowire ®, a Marmon/Berkshire Hathaway company, is a leading U.S. copper wire supplier for residential, commercial and industrial applications. In addition to rugged and dependable, guaranteed products, including MC cables and aluminum wires, the Cerrowire focus is on customer service and delivering on time and in full from our wire manufacturing plants in Alabama, Georgia, Indiana, and Utah. We create our quality products in our new, state-of-the-art MC cable plant. As part of the Marmon Electrical family of companies, Cerrowire benefits from the financial strength, operational d

US

About Us We are an established Independent Sales Organization with seven years of experience in the credit-card-processing and merchant-services industry. We understand how merchants evaluate processors, why they consider switching, the objections they raise and the factors that ultimately drive conversion. We are building a proprietary, AI-driven lead-intelligence platform to identify and prioritize merchants most likely to become customers. Our goal is to combine our industry knowledge, current sales-call recordings, operational information and external business data into a system that makes prospecting more scientific, targeted and measurable. We are seeking an entrepreneurial data-science leader to design and lead this initiative from research and prototype development through prospective testing and commercialization. The Opportunity This is not a conventional data-science position in which a completed dataset and predefined model are handed to you. You will help determine what data matters, how it should be collected and labeled, and how qualitative sales intelligence can be transformed into quantitative predictions. Because our historical labeled data is limited, the initial work will include analyzing current sales-call recordings, interviewing members of our sales organization and identifying the characteristics, circumstances and behaviors associated with merchants who are receptive to switching processors. The successful candidate will build an initial lead-scoring

US

We are looking for Senior Data Engineer with strong English skills to join us in a project with a Europe-based company. This is a remote position, and we will consider candidates from Portugal and a limited set of EU countries. Our Client is a global player in the field of operations, risk, and sustainability services and solutions for companies and industries across the world. As they provide both services and technology for their clients, the Senior Data Engineer we are looking for will support the delivery of value across client's operations and technology ecosystem. In this position, you are hired by FCamara Europe, the European division of one of the largest and fast-growing tech and cognitive services group in Brazil, with +1500 specialists and engineers. From Portugal we deliver services to the EU, UK, US and MENA, bringing together multicultural, diverse and creative teams through projects, managed services, squads, and staff augmentation. In this role, you will be primarily responsible for acting as the technical reference for our Client’s Databricks data platform, designing and operating reliable data pipelines, implementing DataOps and CI/CD practices, and establishing strong data governance to ensure secure, traceable, and AI-ready datasets. In a typical week you will: Design, build, and optimise batch and streaming data pipelines on Databricks using PySpark, Spark SQL, Delta Lake, and Delta Live Tables. Evolve the Lakehouse architecture (bronze, silver, and gold

Worldwide

Geopixel has open positions for a Geoprocessing Internship with an Emphasis on Databases. If you have knowledge in geoprocessing solutions, supplier monitoring with quality control, and project report generation, come be part of our team!! Our office is located at PIT, the São José dos Campos Technology Park. #vempraGEO Support the structuring and maintenance of databases with municipal property registry information, including data validation, standardization, and consistency. Prepare SQL queries and calculation formulas (e.g., areas, frontages, assessed values) from the registry databases. Perform tabular and geographic data analyses to support the technical team. Verify the quality of vector data (points, lines, and polygons), identifying and correcting geometry and topology errors. Produce thematic maps to support analysis and decision-making. Support the review and validation of geospatial deliverables produced by other project analysts. Contribute to the creation and improvement of quality control methodologies and geoprocessing project execution. Develop Python scripts to automate data processing and analysis routines. Support the publication and maintenance of layers in GeoServer and web geoinformation systems. Participate in technical meetings with clients, suppliers, and the internal team, helping to align requirements, methodology, and quality standards. Requirements Cu

Worldwide

As a Sr Data and AI Engineer, you will work closely with architects, cloud engineers, and clients to design and deliver modern data platforms that power analytics, machine learning, and generative AI initiatives. You will help build scalable data lakes, warehouses, pipelines, and cloud-native architectures, transforming complex business requirements into secure, production-ready solutions. This is a hands-on engineering role focused on delivering impact through automation, Infrastructure as Code (IaC), and CI/CD best practices. Location:LATAM 100% Remote. Working hours are based on the US Pacific Time Zone. Minimum 6-hour overlap About the Company: Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency. Key Responsibilities: Collaborate with architects and customers to design and implement data pipelines, platforms, lakes, warehouses, and architectures Deliver enterprise-level ML and GenAI solutions via IaC and CI/CD Continuous learning: staying up to date on AWS (including certifying) as well as awareness of GenAI developments Mentoring and guiding junior engineers, cross-team collaboration with cloud engineers Build and maintain generic, repeatable data products for use in future c

Worldwide
MicroSourcing

Data Engineer

Full-time

Discover your 100% YOU with MicroSourcing ! Position: Data Engineer Location: Philippines Work setup & shift: Work From Home (WFH) | Dayshift Why join MicroSourcing ? You'll have: Competitive Rewards: Enjoy above-market compensation, healthcare coverage on day one, plus one or more dependents, paid time-off with cash conversion, group life insurance, and performance bonuses. A Collaborative Spirit: Contribute to a positive and engaging work environment by participating in company-sponsored events and activities. Work-Life Harmony: Enjoy the balance between work and life that suits you with flexible work arrangements. Career Growth: Take advantage of opportunities for continuous learning and career advancement. Inclusive Teamwork: Be part of a team that celebrates diversity and fosters an inclusive culture. Your Role: As a Data Engineer, you will design, develop, and maintain data pipelines, ETL (Extract, Transform, Load) processes, and data integration solutions while supporting customer implementations and ensuring data accuracy, reliability, and performance. Support existing customer implementations and troubleshoot database and data-related issues, providing timely and effective resolutions. Design, develop, and maintain data pipelines, ETL processes, and data integration solutions. Develop and maintain data quality checks and monitoring processes to ensure data accuracy, completeness, and reliability. Assist customers in debugging ETL issues, particularly those in the

US
Empleo joven | powered by aurorajobs

Product Manager - Data Management Platforms

Full-time

This is a Nestlé job posting published via aurorajobs. For your application to be valid, you must apply directly on Nestlé offers a permanent contract for a Product Manager - Data Management Platforms. ⭐ Ideal Candidate University degree in a relevant field focusing on analytics. Experience in global data platform management (Snowflake, Azure, Databricks, SAP BW). Coaching internal and external teams, especially offshore. P&L management, business case creation, and software negotiation. Prioritizing tasks in dynamic environments. Managing multiple projects simultaneously while ensuring resources and deadlines are met. ⭐ Duties and Responsibilities Define the strategy and lifecycle of global data management platforms (SAP BW, Azure, Snowflake) for Nestlé. Manage teams of Product Owners, architects, and global external workforce. Develop and execute the roadmap aligned with medium to long-term strategy. Motivate and guide the team, providing feedback and coaching. Ensure product governance and regulatory compliance. Advocate for users through feedback analysis and surveys. Collaborate with experts to improve processes and adjust feedback. Communicate progress and launches to users and stakeholders. Manage the budget and ensure efficient resource allocation. Comply with data privacy and security regulations. ⭐ Salary and Conditions Check directly in the job posting: For

EU/EEA
Full-time

Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle ’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at . What you’ll be part of: Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder. What you’ll be responsible for: As a key member of the Commercial Intelligence and Analytics team, you will take on a strategic role that combines advanced analytics, stakeholder partnership, and AI driven innovation. You will lead the development of scalable data products and analyses that directly support Circle ’s Business and Marketing functions, while also identifying opportunities to incorporate AI tools an

US

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies , and through our businesses including Trane® and Thermo King, sustainability is not just how we do business—it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world. Learn about our benefits designed for you to Thrive at work and at home. We boldly go. Where is the work: Virtual What's in it for you: As the Product Manager, Data Center Hydronic Systems , you will lead a strategic and growing segment of the portfolio for the North America Data center business unit. This starts with understanding market trends, customer needs, gaps in Trane’s portfolio and the competitive landscape to initiate new offerings through engineering development and production. The role will also manage potential sourced product relationships to augment internal capabilities. You will be responsible for helping define the product strategy, cross-functional team leadership (both internally as well as with sourced partners), life-cycle management, multi-generational product plans, new product development programs, commercialization, customer research, cultivatin

US
Direct Answers

Frequently Asked Questions: Data & Analytics

Which data stacks are in demand for remote teams?

Modern remote data teams frequently hire for SQL, dbt, Snowflake, Python, and Kafka streaming architectures.

Experience operating production ETL pipelines with automated testing and data observability receives high match weighting.

Explore Other Remote Categories & Locations