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 1705–1728 of 2595 verified active positions

Interactive Match Deck
Full-time

Are you a data-driven problem solver with a passion for uncovering insights? We're seeking a skilled Data Analyst to join our team and help us make data-driven decisions that drive our business forward. As a Data Analyst, you will play a critical role in transforming raw data into actionable insights. You will leverage your expertise in statistical analysis, data mining, and business intelligence to identify trends, patterns, and opportunities. The right candidate for this role combines knowledge of marketing, SQL, attention to detail, marketing metrics and a passion for process improvement, and a commitment to completing projects on time. This is for one of our premium clients in the US region and you can get a chance to work with the most brilliant and innovative teams from the comfort of your home office. If you thrive in a fast-paced environment and are excited to make a significant impact, we encourage you to apply. What You'll Do: Develop and implement data strategies to support business objectives. Conduct complex data analysis to uncover insights and trends. Build and maintain data models and pipelines. Develop and implement data-driven marketing strategies. Analyze marketing campaign performance and provide actionable insights. Create interactive dashboards and reports to communicate findings. Conduct customer segmentation and profiling. Identify opportunities for marketing optimization. Collaborate with marketing teams to measure campaign effectiveness. Collaborate

US

We are looking for highly experienced Senior Data Engineers to help deliver a robust and scalable data architecture across global ERP systems. This role is ideal for someone passionate about building end-to-end pipelines, enabling AI/BI solutions, and thriving in fast-paced, high-stakes environments. You will contribute to the acceleration of global data transformation initiatives, ensuring modern, enterprise-ready data ecosystems. Key Responsibilities Data Integration & Pipeline Development Design, build, and maintain scalable ETL/ELT pipelines from diverse ERP sources into centralized Data Lakes and Warehouses. Develop connectors for structured and semi-structured data using Python, SQL, APIs, or middleware solutions. Data Lake & Warehouse Engineering Implement bronze, silver, and gold layers for ingestion, cleaning, and curated datasets. Organize data structures for optimized use in BI and AI systems. Data Standardization & Cleansing Align global units of measure (lbs, kg, packaging, linear feet) across products and regions. Execute data deduplication, enrichment, and harmonization from disparate systems. Architectural Collaboration Collaborate closely with Data Architecture leadership on schema definitions, partitioning strategies, and infrastructure design. Set up and maintain sandbox/staging environments for safe testing. Power BI & AI Enablement Provide ready-to-use, clean datasets to support BI dashboards and AI/ML use cases. Documentation & Govern

Worldwide

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for our partners, some of the world's leading companies. Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment. We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries. WHY JOIN US? You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato . BASE SALARY: $175,000 to $200,000 per year, paid semi-monthly YOUR ROLE You'll build the models that decide which carrier each auto insurance shopper sees on our click wall. The goal is to send every user to the carrier most likely to convert them, so carriers see our traffic convert and raise their bids. You'll also own the buying models behind our media spend, which are held to ROAS. Carrier conversion data (quotes, policies and acquisition cost) is now coming back to us, and you'll be the one who puts it to work in production. The hard part is the data. O

US
Bright Vision Technologies

Cloud Data Architect

Full-time

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: Cloud Data Architect Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $145,000–$160,000 Annually Experience Required: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary: We are seeking a Cloud Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity. Required Qualifications Eight or more years of experience in data engineering, with significant time in architecture roles. Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery,

US

About Coderio Coderio designs and delivers scalable digital solutions for global companies. With a solid technical foundation and a product-oriented mindset, our teams lead complex software projects—from architecture to execution. We value autonomy, clear communication, and technical excellence. We collaborate closely with international teams and partners, building technology that creates an impact. 🌍 Learn more: Job Overview We are looking for a Senior Data Engineer based in the US to design, build, and maintain robust data pipelines and scalable infrastructure across our cloud platform. In this role, you will play a key part in enabling Data Products throughout their lifecycle—sourcing data via batch and stream processing, optimizing data architecture, and ensuring data quality. You will collaborate closely with Data Scientists and ML Engineers to automate workflows and deploy resilient data pipelines in production. Work Location / Employment: US-based (Remote / Hybrid) — Must be authorized to work in the United States. Tech Stack & Key Technologies Cloud Platforms: AWS (Redshift, Glue, EMR, MWAA, S3) & GCP (BigQuery, Cloud Storage) Languages & Frameworks: Python, PySpark, SQL (advanced optimization & tuning) Data Engineering & Ops: Batch & Stream Processing, ETL/ELT Pipelines, Data Modeling, Data Warehousing, Orchestration DevOps, Infrastructure & Tools: Docker, Terraform, CI/CD pipelines, UNIX/Linux environments, MLOps best practices Key Respo

US
Full-time

The Clinical Data Analyst (CDA) is a mid-level individual contributor role that supports the Data Sciences department in identifying requirements and building solutions towards enhancing clinical study data reporting and analytics capabilities. This role will support in the development of advanced analytical solutions, better supporting internal and external stakeholders needs in summarizing clinical study data. This role will also enable operational quality and efficiency through the generation and analysis of departmental operational and performance metrics. Reporting Standards Management Lead the creation & development of a standard library of reporting and/or analysis solutions (report, dashboard, visualization, or other) for Data Sciences and other stakeholders. Gather requirements from a cross-functional group to a particular study question or operational activity. Build & configure solution to meet the requirements. Lead validation activities to prepare reporting solutions for release/usage. Gather (as needed) and collaborate with volunteer stakeholder group to support validation activities. Contribute to the Data Standards Governance Committee (DSGC) for the management of standard reports. Maintain ongoing updates to standard report templates. Support training for the Data Sciences team of new standard reports/solutions. Study-Specific Reporting Deployment Deploy standard reporting solutions for use on a study-specific basis. Create & develop ad hoc report

Worldwide

Sun River Health provides the highest quality of comprehensive primary, preventative and behavioral health services to all who see it, regardless of insurance status and ability to pay, especially for the underserved and vulnerable. Sun River Health is a Federally Qualified, Non-Profit Health Center serving communities in Suffolk, Rockland, Orange, Dutchess, Ulster, Sullivan, Columbia and Westchester County. Sun River Health is currently seeking a Full Time Remote Project Management Data Specialist to join our team. The Project Management Data Specialist will be responsible for leveraging Sun River Health 's available data to provide a clear understanding of Sun River Health 's performance in value-based payment contracts, to drive performance improvement, and to support Sun River Health ’s Project Management Office (PMO) through ongoing project management. Essential Duties and Responsibilities for a Project Management Data Specialist: Retrieve and leverage available data from available and appropriate databases to provide a clear, transparent view of Sun River Health ’s performance in value-based payment contracts Develop materials –reports and presentations for a variety of audiences that promote Sun River Health ’s performance management and improvement work within these contracts Analyze data for the purposes of evaluations and improving reporting, transparency, and company goals Participate in project management meetings, develop reports based on assigned projects Provid

US
Full-time

Hello! Do you believe you found this opportunity by chance? Here at Nimber, we don't believe in chance. Did it catch your attention? Great. Read on... At Nimber, we aren't just filling positions; we are building a team ready to transform things. If you are looking for a new challenge and want to be part of projects with real impact, this opportunity might be for you. But what does Nimber mean? In mathematics and game theory, they are numbers with special properties. At Nimber, we want to do the same: add value to our clients' projects. Position: Data Engineer Responsibilities Develop and maintain data architectures and large-scale data processing systems. Create, test, and optimize data engineering, ETL, and data transformation processes. Work on data collection, storage, and transformation. Develop Data Warehousing and database solutions. Contribute to distributed systems architecture, ensuring scalability and performance. Integrate different systems and data sources. Work with NoSQL, SQL, and Hadoop technologies. Requirements Experience in Data Engineering and data architecture. Knowledge of relational and NoSQL databases. Experience with ETL and Data Warehousing. Knowledge of distributed systems and distributed computing. Experience with Hadoop and associated tools. Knowledge of programming in Python, Java, Scala, R, and/or Spark. Ability to develop scalable and oriented solutions.

Worldwide
Full-time

Created in 2016, Free2move simplifies mobility-related uses by offering a wide range of services to satisfy everyone's 🚘 travel needs. With Free2move , you can rent a city car for shopping or for your stay in Italy or book a car park during your weekend in Paris... all in one click, on our web/mobile platform! 📲 Born from the merger of the Stellantis Group 🚗 and the start-up TravelCar, Free2move , thanks to its agility and its spirit of conquest has managed to establish itself in just few years as a reference player to revolutionize the mobility of all travellers. Having become the #1 reflex for more than 6 million users, Free2move operates in more than 170 countries across different continents 🌎 and is available in 30 languages and 26 currencies. 5000 partners trust us and several hundred thousand vehicles are available! If you want to join a team of +650 experts and bold international projects, then you're in the right place! 🎯 You will evolve in an ultra-dynamic, innovative, agile, internationally-focused structure and integrate our talented teams, full of ideas and motivation and with multidisciplinary skills, at the crossroads of the digital eco-system and the fast-changing automotive sector. At Free2Move, data science and analytics are at the very core of our products and decision-making. Our analytics team tackles a wide range of impactful topics—from influencing key business decisions and optimizing operations, to putting the algorithms that govern critical aspec

EU/EEA
Full-time

About DrFirst For 25 years, DrFirst has empowered providers and patients to achieve better health through intelligent medication management. We improve healthcare workflows and help patients start and stay on therapy with end-to-end solutions that enhance prescription access, affordability, and adherence. Our solutions help 100 million patients a year and are used by more than 420,000 prescribers, 71,000 pharmacies, 270 EHRs and health information systems, and over 2,000 hospitals in the U.S. This is a great opportunity to be a part of a successful Healthcare IT company experiencing significant growth. Here you’ll get to work with some of the smartest and most interesting people around, solving unique and complex challenges in healthcare on a scale matched by few companies. If you get excited about stretching yourself in new ways, developing yourself to your fullest potential, and care about working with smart colleagues, we want to talk to you! Position Overview We are seeking a highly creative problem solver who tackles puzzles for breakfast and scales the solution by dinner. As a Senior Data Scientist you will join a group of data scientists and data analysts to lead and contribute to AI and ML initiatives that push the boundaries of what is possible in healthcare. The team reports directly to the President of the Provider Solutions division, and you should expect to work with and present to executive management often. This is a senior individual contributor role, not a pe

US
Full-time

Overview We are looking for seasoned Data Architect to work with our team and our clients to architect and develop data models, data warehouses, lakes, and lakehouses, data governance, services, and pipelines. We are looking for a more than just a "Data Architect", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Contributions Lead and architect migration of data environments with performance and reliability Assess, understand, and document data sources Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP) Key must have skill sets – data modeling, cloud Support an Agile software development lifecycle You will contribute to the growth of our Data Exploitation Practice! Qualifications Ability to hold a position of public trust with the US government. 8-10 years of experience with data model and date warehouse design, including schema design and entity relationship diagrams 8-10 years of experience collaborating with management, personas, and engineers to support data quality efforts Demonstrated on-the-job experience with large-scale data migration Demonstrated on-the-job experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines Demonstr

US

POSITION OBJECTIVE: As a Senior BI Engineer, you will build and scale data models, pipelines, and self-service analytics across the organization, as well as high-load database solutions for various business use cases, including reporting, product analytics, marketing optimization, and financial reporting. You will focus on developing a reliable aggregation layer and reporting framework that meets growing business needs, enabling teams to independently access and analyze data. You will contribute as part of a self-organized team of experienced data engineers, working in a challenging and innovative environment for our client, creating the foundation for decision-making in a company that handles billions of events per day. You will investigate, design, and implement solutions to existing technical challenges. You will provide guidance, instruction, direction, and leadership to a development team in order to achieve project goals. MAIN TASKS AND RESPONSIBILITIES: Analyze the scope of alternative solutions and make implementation decisions within your domain based on experience and technical knowledge. Lead the functional and architectural design of assigned areas. Ensure that project design decisions meet architectural and design requirements. Identify area-level risks and define and implement mitigation plans. Report on area readiness/quality and escalate issues in crisis situations beyond your area of responsibility. Take ownership of resolving crisis situations within your ar

US

Activities: Requirements gathering and refinement with the Market Risk and Methodology areas. Definition of functional and technical solutions in market risk systems. Execution of unit and integrated tests in development and pre-production environments. Management of user requests in the squad's backlog, priorities, team capacity, etc. Coordination of technical teams involved in the end-to-end (E2E) process. Mandatory skills: Basic technical development knowledge: Java, Python, and Shell Script. Experience with market solutions: Investment product typology, Full Revaluation, Oracle. Experience with Jira and Scrum methodology. Conversational English. Conversational Spanish. Position conditions: 100% remote work; Availability to relocate in the future to Portugal or Spain is mandatory if required by project needs, company strategy, or legal requirements; While in Brazil, work will be performed entirely remotely; Resumes must be submitted in English. Originally posted on Himalayas

Worldwide

What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the

Worldwide

Allata is a global consulting and technology services firm founded in 2016, with 350+ employees across the US, India, and Argentina. We partner with some of the world's largest enterprises to move AI from idea to production — building intelligent agents, data foundations, and governance frameworks that scale. Our teams work at the intersection of strategy, engineering, data, and design, helping clients modernize their technology, unlock data value, and create meaningful digital experiences. At Allata , you'll join an agile, cross-functional team that works closely alongside clients — making a real impact and building lasting partnerships. As a Data Architect, you will be at the forefront of designing and architecting comprehensive data solutions across multiple platforms aligned with client needs and objectives. Role & Responsibilities: Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the soltuion. Design and implement Virtual Cloud solutions including virtual network and management of network routings and subnets. Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration. Experience with integrating data across disparate systems using APIs and data integration tools Design scalable, high-performance data models and databases, including Medallion Data Warehouse architecture, Data Lakehouses, dimensión modelling (Star and/or Snowflake schemas), and other relevant des

Worldwide

AECOM is seeking a Senior Electrical Engineer, Data Center specializing in Hyper-scale Data Centers to act as Data Center Electrical Engineer Lead. The job incumbent will be responsible for designing, implementing, and maintaining electrical systems in large-scale data centers. This position is a remote opportunity and can be based out of any of AECOM 's U.S. offices. The Electrical Engineer will play a critical role in ensuring the reliability, efficiency, and safety of our data center infrastructure. The ideal candidate will have a strong background in electrical engineering and experience working with high-density data centers. This position offers the flexibility of a remote work schedule and can be based from a variety of locations in the US where AECOM has an office. Although the position is primarily remote periodic travel may be required for client meetings, key project milestones, onsite collaboration sessions, or other business‑critical activities. Travel is expected to be occasional and scheduled in advance AECOM is a leader in the global data center consulting industry with robust teams in the Americas, Europe, Africa, Asia, and Australia. In this role, you will have the opportunity to work with our teams around the world on high-profile, fast-paced data center projects for global clients. This is a hands-on, client-facing role with an opportunity for upward career mobility. Responsibilities: Design and implement electrical systems for hyper-scale data centers, in

US
Full-time

Job Overview We are seeking a detail-oriented AI Data Quality Reviewer to help ensure the quality, accuracy, and integrity of data used in AI training and evaluation projects. In this role, you will review contributor submissions across text and video formats, assess them against project-specific guidelines, and make consistent quality decisions at scale. The ideal candidate has experience working in high-volume review environments, possesses exceptional attention to detail, and can apply detailed guidelines consistently while maintaining productivity targets. You will play a critical role in maintaining dataset quality, identifying suspicious or low-quality submissions, and providing clear feedback to contributors. Core Tasks: Review contributor submissions across text and video against project-specific guidelines and acceptance criteria Approve, reject, or return submissions for correction while providing clear and feedback Maintain high accuracy and consistency while meeting project throughput and turnaround-time targets Identify duplicate, low-effort, synthetic, manipulated, or otherwise suspicious submissions and escalate potential integrity issues Apply detailed review rubrics consistently across large volumes of submissions Track recurring contributor errors and flag unclear or ineffective task instructions Accurately record review decisions, rejection reasons, and other required information Must Have: 1-3+ years of experience in data annotation, quality assurance, con

Worldwide

We are looking for a GTM Operations and Data Entry Assistant (Part-Time), a key player to ensure that our databases are flawless, up-to-date, and ready to drive our growth campaigns. If you have great attention to detail, love organization, and are skilled in Google Sheets/Excel, we want to meet you! Your Main Mission: Keep our databases updated, clean, and ready for campaigns. You will execute repetitive search, validation, and data upload tasks with precision and speed. Key Responsibilities: 1. Data Search and Collection: Locate and complete basic company and contact information (name, title, industry, location) using Genesy and other sources. 2. Basic Validation: Review and confirm AI suggestions, correcting obvious errors and marking incorrect contacts on the Blocklist. 3. Database Cleaning and Organization: Ensure consistent data formatting before upload (names, emails, industry, etc.). 4. Platform Upload and Maintenance: Upload clean lists to campaigns, organizing contacts by status (new, validated, discarded). 5. Daily Operational Support: Record updates, report inconsistencies, and follow internal processes step by step. Profile We Are Looking For: Skills and Competencies: Operational Skills: Previous experience in Data Entry, Back-Office, or database management. Solid command of Excel / Google Sheets (filtering, sorting, cleaning).

US

We are looking for a Senior Data Consultant with proven experience in the Microsoft ecosystem to lead the design and implementation of analytical solutions. If you master Power BI and are ready to work with Fabric and international teams, this is your next challenge! The Main Challenge: Design, implement, and advise clients on robust Business Intelligence and Data Engineering solutions using the latest Microsoft tools. What Skills Are Essential? Solid Experience: Minimum 3 years of hands-on experience in the BI/Data stack. Power BI Mastery: Advanced and practical level in all facets: Modeling and Optimization: Advanced DAX and Power Query. Architecture: Dataflows Gen1/Gen2 and Deployment Pipelines. Experience with Microsoft Fabric: Design and development of solutions based on the Microsoft Fabric ecosystem. Language: High level of English (oral and written) (Essential for international collaboration). Consultative Role: Ability to provide technical support, advice, and troubleshooting to clients and internal teams. Continuous Upskilling: Commitment to the latest trends and technologies related to Microsoft Fabric. Extra Points (Valued Positively): Knowledge of other Microsoft Power Platform tools (Power Apps, Automate); Experience with professional optimization tools (DAX Studio, Tabular Editor). Offer Details (Work Without Borders!): Modality: 100% Remote from...

US
We are Tims

Data Engineer

Full-time

We are looking for a Data Engineer! Are you excited about transforming data into intelligent solutions? This opportunity is for you. What will you do? You will be part of a team driving data projects with real impact. Your mission will be to design, build, and optimize data pipelines, scrapers, and solutions integrating generative AI. What we value in your profile: Technical background in computer science or related fields; Experience with PySpark to process large volumes of data; Solid knowledge in AWS (EC2, S3, Lambda, etc.); Familiarity with RAG agents, text-to-SQL, and vector databases; Ability to create efficient and robust scrapers; Curiosity for AI, continuous learning, and collaborative work. - Initial project for three months - Remote modality - Schedule from Monday to Friday, 10h to 19h Spain time - Professional fees in USD via Ontop. Apply now! Originally posted on Himalayas

US
Full-time

Location: Argentina (100% Remote) Modality: Freelance Compensation: Payment in USD through Ontop Schedule: 09:00 to 18:00 hrs (Central European Time - CET/CEST) About the role: We are looking for a proactive and methodical Data Engineer with 3 to 4 years of experience to design, build, and maintain robust data infrastructures. You will work closely with multidisciplinary Data and Development teams, creating efficient ETL solutions and scalable cloud architectures. Technical Requirements: Experience: 3 to 4 years in data engineering. Languages and Databases: Advanced proficiency in Python (especially libraries like Pandas and PySpark) and SQL/PL-SQL. Architecture: Solid experience building ETL processes and designing Entity-Relationship (E/R) models. Cloud (AWS): Hands-on experience working with AWS components (particularly EMR and AWS Lambdas). Languages: Native Spanish and Advanced English (Mandatory). Nice to have: Previous experience working with financial data; Knowledge of Vector Databases; Experience in Web Scraping techniques. What we offer: 100% remote integration into international client operations; Competitive remuneration in dollars; Agile administrative management through the Ontop platform. Interested parties send CV to. Originally posted on Himalayas

Worldwide
Full-time

Are you passionate about data with a scientific mindset? We are looking for your Jr talent! At TIMS, we are expanding our data team and looking for a Jr Data Analyst with a hunger for learning and a solid technical foundation to work in a high-level global environment. If you master SQL and Python and are passionate about Machine Learning, this is the opportunity to launch your international career! What challenges will you have? Maintain and optimize data warehouses in Google Cloud (BigQuery, Cloud Run); Develop ETL/ELT processes and ensure maximum data quality; Create impactful visualizations to facilitate business decision-making; Implement predictive models and track interactions (GA4, GTM); Define and implement A/B Testing and extract valuable insights. What profile are we looking for? Total proactivity: Individuals with a strong theoretical foundation and a desire to get their hands dirty with code; Tech Stack: Intermediate knowledge of SQL and Python; Specialization: Interest or experience in Predictive Models and Machine Learning; Languages: Fluent English (B2 minimum - Mandatory); Soft Skills: Analytical-scientific thinking, abstraction capacity, and focus on quality. Technologies you will work with: Google Cloud (BigQuery, Cloud Functions), dbt, Git, Docker, Looker Studio, Google Analytics, Firebase, and more. Role conditions: 100% Remote (Open to: #Venezuela #Colombia #Argentina #Peru #Chile #DominicanRepublic #Mexico #Uruguay #Panama #CostaRica).

Worldwide
Hanwha Data Centers

Account Manager Data Centers

Full-time

COMPANY OVERVIEW Hanwha Energy USA , headquartered in Houston, Texas, is part of the Hanwha Group—a FORTUNE Global 300 company and one of South Korea’s most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America’s growing data center industry. Our expertise covers the entire energy value chain—from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets. Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of: Hanwha Renewables – specializing in utility-scale solar and battery energy storage systems (BESS) Chariot Energy – providing retail electricity services for residential, commercial, and industrial customers in deregulated markets POSITION OVERVIEW Hanwha Data Centers is seeking a highly motivated Account Manager of Customer Sales & Commercial Development to lead customer engagement, commercial negotiation

US

About Pinterest : Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest , we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest , AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. What you’ll do: Be the technical lead for the forecasting team . Own the strategy and implementation of forecasting models of key company metrics (e.g., monthly active users), delivering accurate, interpretable forecasts at scale. Lead the full modeling lifecycle end to end : problem framing, feature engineering, model development and prototyping, experimenta

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