Remote Data Engineering & Analytics Jobs

Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we’re looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what’s possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you. Commerce — the company behind BigCommerce, Feedonomics, and Makeswift is looking for an AI-first Data Engineering Manager to lead our Enterprise Data Engineering team. You'll own the roadmap for the Snowflake- and Airflow-based platforms that power reporting, analytics, AI and data products across the business, while building a team that treats AI agents as first-class teammates in the data engineering lifecycle. This is a hands-on leadership role for someone who has shipped production data pipelines, has led engineers bef

The Role: We’re looking for a senior data engineer to own our data platform from architecture through production, reliably turning high volumes of data from provider APIs, webhooks, files, and web scraping into trusted records for our products. Today, our enrichment and extraction workflows largely run serially inside a container. You’ll lead the move to a platform that supports concurrent processing, event-driven intake, and orchestrated batch workflows. Responsibilities: Multi-source intake: Build concurrent ingestion for provider APIs, webhooks, files, and scraping, with rate limits and failure handling. Batch and event-driven execution: Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect. Build event-driven intake with Pub/Sub or Cloud Tasks, including retries, dead-letter queues, and controlled replay of failed work. Raw-to-curated data: Preserve original payloads, including provider JSON, in Google Cloud Storage (GCS) before transforming them with dbt. Establish medallion layers for raw, standardized, and curated data. Correctness through recovery: Implement idempotent upserts and safe retries, replay, and historical backfills that avoid duplicate records or data corruption. Make data traceable to its source and safe to reprocess. Data quality and delivery: Define data contracts, build automated validation and pipeline tests, and monitor freshness and failures. Design and optimize PostgreSQL schemas, queries, and loa

Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back?, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.

Who We Are Imprint helps the world's best brands grow the lifetime value of their customers. We started with co-branded credit cards and rebuilt them to be smarter, more rewarding, and brand-first. We partner with companies like Crate & Barrel, Rakuten, , H-E-B, Fetch, and Shell to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. But the card is just the beginning. We combine advanced payments infrastructure, intelligent underwriting, and deep customer data to create delightful and personalized experiences for members as well as efficient and profitable relationships for our brand partners. Our robust technology and world-class operations allow us and our brand partners to offer powerful financial products without becoming a bank. In the U.S., co-branded cards alone account for over $300 billion in annual spend, and most still run on decades-old legacy bank systems. Imprint is the modern alternative: flexible, embeddable, and built for how people actually pay today. Backed by Kleiner Perkins, Thrive Capital, Ribbit, and Khosla Ventures, we're building a world-class team to redefine how people pay and how brands grow. If you want to move fast, solve hard problems, and own real outcomes, we want to meet you. Role Summary We're looking for a Product Counsel, Data & Privacy to join our legal team as the first-line owner of data, privacy, and information-security legal work. Customer data is core to how Imprint 's programs create value,

The Data Privacy Compliance Specialist supports DeepHealth 's global data privacy programs, including HIPAA and GDPR. Reporting to the Data Privacy Compliance Lead, this role collaborates across the organization to help ensure personal data is collected, processed, and stored in line with applicable privacy laws and DeepHealth requirements. Essential Duties and Responsibilities Support organizational data privacy efforts and help ensure compliance with applicable local, national, and global privacy laws and regulations. Assist with the Privacy by Design program supporting product development and modification, including software and AI use cases. Collaborate with Vendor Management on vendor qualification and on implementation of Data Processing Agreements and Transfer Impact Assessments as applicable. Research and review country-specific data privacy frameworks and regulations to support continued compliance and business opportunities. Collaborate cross-functionally to implement technical and organizational measures that support data privacy. Monitor how personal data is collected, processed, and stored for compliance with applicable laws. Participate in investigations and impact assessments related to information security events with privacy implications. Serve as a backup point of contact for data protection authorities and data subjects, handling inquiries and requests. Collaborate cross-functionally to improve data privacy processes in support of risk management frameworks

Become a part of our caring community The Vice President, Data Strategy & Governance is a senior executive accountable for defining, advancing, and operationalizing the enterprise data strategy. This leader drives the full lifecycle of data governance — from policy design and sensitive data management to technology enablement, data quality, and regulatory compliance. Serving as a strategic advisor to executive stakeholders across all business units and technology functions, the VP partners closely with Cybersecurity, Enterprise Architecture, and line-of-business leaders cultivate a data-rich, AI-ready environment grounded in trust, quality, and accountability. The VP is a visionary organizational builder who attracts and develops world-class talent, shapes data culture, and influences enterprise-wide change. This individual would need to partner across business and technology leaders to drive a product mindset and promote adoption to realize business outcomes. This leader will promote a data product operating model by embedding accountability for data quality, metadata, lineage, access, and data lifecycle management across the enterprise. This leader brings deep command of applied data governance practices, data protection strategies, emerging ML/AI-based governance tools, and the legislative landscape governing personal and sensitive data. Their work directly enables the organization's digital and analytics ambitions while fortifying its cyber-breach resistance posture.

BridgePhase is a mission-focused technology company that designs, builds, secures, and operates modern digital solutions that drive national security, government efficiency, and mission success across the Federal Government. We empower agencies to achieve meaningful outcomes through high-performing software engineering, cloud, DevSecOps, cybersecurity, AI/ML, and platform modernization solutions delivered by collaborative teams focused on innovation, adaptability, and operational excellence. As a trusted partner, BridgePhase helps Federal organizations modernize critical systems, accelerate delivery, and achieve lasting mission impact. Position Overview: BridgePhase is seeking an experienced, self-driven Database Administrator to support the architecture, administration, maintenance, and optimization of enterprise SAP systems and database environments. This individual will play a critical role in ensuring the performance, reliability, security, and availability of complex SAP landscapes while supporting system implementations, upgrades, migrations, and ongoing operational initiatives. The ideal candidate brings extensive hands-on SAP Basis administration experience, a strong understanding of enterprise database technologies, and expertise in managing SAP environments across cloud and traditional infrastructure. This role requires a proactive technical problem solver who can troubleshoot complex system issues, collaborate across technical teams, manage competing priorities, an

Join the Tilt team At Tilt , we see a side of people that traditional lenders miss. Our mobile-first products and machine learning-powered credit models look beyond credit scores, using over 250 real-time financial signals to recognize real potential. With millions of customers worldwide , we're not just changing how people access financial products — we're creating a new credit system that backs the working, whatever they're working toward. The Opportunity: Data Science Lead, LATAM We're looking for a Data Science Lead to own data science across our two LATAM markets, Mexico and Brazil. Both are fast-growing businesses operating with the speed and autonomy of a startup, backed by the scale and stability of an established group. We're open to this role being a Lead, Manager or Senior Manager - the mechanics of the role won't change. It's a hands-on leadership role. You'll lead a small team of data scientists across both markets while remaining an active contributor yourself - building models, shaping technical direction, and setting the standard for how the work gets done. The two markets sit at different stages of maturity, and the role spans both. In one, you'll be establishing foundations — infrastructure, modelling standards, and a roadmap to bring capability up to the level of our other markets. In the other, you'll be supporting a more mature practice as it advances model architecture and builds a more integrated approach to credit decisioning and portfolio valuation. H

Job Title: Chief Data Officer (CDO) Role Summary The Chief Data Officer is responsible for defining and executing the enterprise data strategy, ensuring data is treated as a strategic asset to drive decision-making, innovation, and business growth. This role oversees data governance, data architecture, analytics, AI/ML initiatives, and regulatory compliance related to data. Key Responsibilities 1. Data Strategy & Leadership Define and execute enterprise-wide data strategy aligned with business objectives Establish data as a core asset for competitive advantage and innovation Advise executive leadership on data-driven opportunities and risks 2. Data Governance & Quality Establish data governance frameworks, policies, and standards Ensure data quality, integrity, lineage, and ownership across the organization Implement master data management (MDM) practices 3. Data Architecture & Platforms Oversee design and implementation of modern data platforms (data lakes, warehouses, lakehouse) Ensure scalability, performance, and accessibility of data systems Drive integration across enterprise systems 4. Analytics, BI & AI/ML Lead advanced analytics, business intelligence, and AI/ML initiatives Enable self-service analytics and data democratization Deliver insights that drive business performance and innovation 5. Data Privacy, Security & Compliance Ensure compliance with data protection regulations such as GDPR , CCPA, and industry standards Partner with security tea

About the team As a Senior Program Manager, People Data Access & Governance within the Business Operations & People Analytics organization, you’ll be part of a team at the center of one of Zillow ’s most consequential investments: making people data more accessible, more intelligent, and more trustworthy, all at the same time. This team sits at the intersection of HR systems, cloud data infrastructure, and the rapidly evolving world of AI-powered workforce tools, and plays a critical role in shaping how leaders and partners across the company can engage with people data responsibly. The Senior Program Manager, People Data Access & Governance will own the program that holds all of that together. About the role The way organizations interact with people data is changing fundamentally. When AI can be pointed at a dataset and asked anything: from “what’s driving attrition in this org?” to “show me comp distribution by level”, traditional access models built around fixed reports and credentialed BI users are no longer sufficient. This role exists because Zillow is leaning into that future, and doing it thoughtfully requires someone who can hold the full picture: who should have access to what, through which interfaces, with what controls, and accountable to whom. As Senior Program Manager, People Data Access & Governance, you’ll design and own the framework that governs access in how people data flows from source systems like Workday through cloud analytical enviro

Why USAA ? At USAA , our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA , where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Director of Data Science , are you ready to lead the charge in transforming a major enterprise through the power of Generative AI, LLMs, and autonomous agent ecosystems? We are seeking a visionary Director of Data Science to architect and scale our next-generation AI capabilities. In this role, you will lead a high-performing team responsible for building reusable, horizontal AI platforms and solutions that drive enterprise-wide automation, innovation, and strategic differentiation. You possess the agility to navigate rapidly shifting AI paradigms, the architectural vision to design scalable systems from ideation to production-grade performance, and the leadership to bridge the gap between cutting-edge research and core business value. If you thrive at the intersection of AI strategy, technical execution, and organizati

The Data Acquisition Support Specialist coordinates the technical intake, legal compliance tracking, and administrative workflows necessary to acquire and integrate third-party data assets. This role bridges the gap between commercial partnership managers, technical integration teams, and legal/procurement stakeholders to ensure seamless data onboarding, strict adherence to licensing terms, and meticulous record-keeping. Key Responsibilities Coordinate technical intake prerequisites for new data providers in conjunction with our Data Ingestion team Maintain technical documentation for data feeds, including schema mappings, data dictionaries, updates/delta schedules, and ingestion pipeline notes. Partner with data ingestion teams to troubleshoot delivery failures, format anomalies, or feed interruptions. Track the lifecycle of data acquisition agreements (NDAs, Data License Agreements, Order Forms, and Amendments) from initiation through execution. Audit and log specific contractual parameters into central tracking systems: Permitted use cases, restrictions, and redistribution rights Renewal dates, notice periods, and termination conditions Data retention schedules and purge/deletion mandates Log and verify Provider Data Sheets, Data Privacy Impact Assessments (DPIAs), and security questionnaires prior to feed activation. Maintain the central Data Acquisition Salesforce, capturing provider status, feed types, renewal cadences, and key operational contacts. Monitor vendor perfo

Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. About the Company Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs. Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers. The Mission Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise

Are you passionate about technology and innovation? 💡 At GrupoSysMap—which brings together SysMap Solutions, Triggo Labs, and others—we believe that great results are born from incredible people. We are a Brazilian technology company that, since 1999, has been helping organizations overcome complex challenges and accelerate their digital transformation. Our operations span various segments such as Telecom, Retail, Education, Finance, Industry/Cosmetics, and Energy, always focusing on innovative, high-impact solutions. 👉 Apply now and build the future of technology with us! Collect, process, and analyze large volumes of data; Develop statistical and predictive models; Apply machine learning techniques; Generate insights for decision-making; Communicate results to business areas; Ensure data quality and governance. Degree in Statistics, Data Science, Computing, or related fields; Experience in data analysis; Knowledge of statistics and machine learning; Experience in training and fine-tuning open-source LLMs; Experience in maintaining and deploying LLMs; Fluent English. We will be especially thrilled if you also have: 3 years of experience in Deep Learning and/or NLP; Experience using GPUs in both cloud and on-premises environments. Originally posted on Himalayas

Spoiler: This is where your next big move begins. 100% Remote |Asia| Full-Time | 3-Month Project What this Journey Looks Like At Pearster , we are looking for Data Entry Specialists to join a short-term project for one of our international clients. The ideal candidate will have experience in data entry, administrative support, or data processing , with strong attention to detail, accuracy, and the ability to follow structured processes consistently. This role will focus on reviewing information from different sources, including Microsoft Dynamics CRM, Excel spreadsheets, and Order Management Systems (OMS) , and accurately entering that information into an internal application. We are looking for detail-oriented, organized, and reliable professionals who are comfortable performing repetitive tasks, maintaining high-quality standards, and working with English-language systems and documentation. What You'll Lead and Build Accurately enter and update data in the client's internal application. Review and extract information from Microsoft Dynamics CRM, Excel spreadsheets, and internal Order Management Systems (OMS) . Process assigned requests and tickets following established workflows and procedures. Update ticket statuses and ensure requests are correctly transferred to the next stage of the process. Consult internal knowledge bases, reference guides, and process documentation to complete tasks accurately. Verify data accuracy, completeness, and consistency before submitting com

Leyton CognitX is the AI & Tech Advisory of Leyton , bringing together a dynamic team of over 200 tech experts and data scientists. We specialize in delivering innovative AI and technology solutions that transform how organizations operate and compete. Our approach combines strategic advisory services with custom development, enabling businesses to harness the power of AI and advanced technologies. We work closely with each client to design intelligent, streamlined solutions that address their specific challenges and align with their strategic objectives . At Leyton CognitX , we believe that technology is more than just tools; it's a catalyst for meaningful organizational and technological transformation. Our mission is to empower companies to leverage AI and cutting-edge tech, turning complex challenges into opportunities for growth, efficiency, and innovation. The Associate Data Science Manager Is Responsible For : Implementing and evolving the data domains and products required to support the needs of the company. Play a part in driving change management and process improvement. Work collaboratively with product management to create a roadmap and deliver on capabilities to increase the velocity of engineering teams. • Ensuring team cohesion and motivation Designing, developing, and implementing methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. Managing the daily operational activities that develop and imp

Become a part of our caring community The Director, Data Quality/Integrity understands end-to-end master data processes and flows and uses that knowledge to design and implement master data management solutions. The Director, Data Quality/Integrity requires an in-depth understanding of how organization capabilities interrelate across the function or segment. This is a remote position. The Director, Provider Data Quality & Directory Governance is responsible for defining and executing the enterprise strategy for provider data quality, governance, directory accuracy, and innovation. This leader will establish the operating model, standards, controls, and continuous improvement practices that ensure provider data is accurate, complete, timely, compliant, and trusted across provider directories, network operations, credentialing, contracting, and digital experiences. Reporting to the VP of Provider Network Operations, this role partners across Operations, Technology, Analytics, Compliance, Provider Services, and market leadership to improve provider data integrity, strengthen governance, reduce defects, and enhance provider and member experiences. The Director is expected to champion innovation, challenge traditional approaches, and actively collaborate both within the organization and across the healthcare industry to advance provider data management practices. Key Responsibilities Data Quality Strategy & Leadership Develop and execute a multi-year data quality and integ

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Quality, Governance Framework Certifications: None Experience: 8 + years of related experience US Citizenship Required: No Job Description: Data Governance Analyst Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Data Governance Analyst will be part of the CMM Data Modernization and Governance team responsible for delivering an integrated data governance, engineering, data platform, reporting, analytics, and Artificial Intelligence (AI)/Machine Learning (ML) capabilities that support operational decision-making and fulfill AO's data and analytics objectives in support of the CMM program. The successful candidate will be responsible for establishing, implementing, and maintaining the organization's data governance framework so that data is managed and protected as a strategic enterprise asset and to accelerate CMM modernization efforts. This role acts as a Data Standards Arch

Senior Data Engineer – Snowflake & dbt | Remote Mexico & LATAM At DaCodes, we are looking for a Senior Data Engineer to build a platform in Snowflake that transforms information from various systems into reliable data for business and artificial intelligence solutions. If you enjoy building pipelines, resolving discrepancies between sources, and ensuring that metrics are accurate, this opportunity may interest you. Modality: Remote · Full-time Location: Mexico and Latin America Working language: Spanish Intermediate English: with comprehension of technical documentation Requirements The Project You will build a data warehouse in Snowflake integrating databases, APIs, and files. You will be responsible for extraction, transformation, modeling, quality, safety, and operation of the data layer. You will work with business users and an AI engineer so that agents can query information with clear metrics, verifiable figures, and appropriate access permissions. What You Will Do Develop pipelines from SQL Server, SAP ASE/Sybase, REST APIs, and files using ODBC connections and an Openflow-based connector pattern. Preserve original data and extraction timestamps to allow reprocessing without querying sources again. Build Bronze, Silver, and Gold layers, dimensional models, and historization mechanisms. Develop transformations with dbt, including incremental models, tests, and documentation. Harmonize catalogs and

We are seeking a visionary, highly skilled, and impact-driven Data Scientist to join our Data Science team. This is a role designed for a creative problem solver and technical innovator, someone who can transform complex 3D body scan data into meaningful anthropometric insights and health metrics that improve real people's lives. In this role, you will own the mission of transforming raw 3D body scan data into anthropometric measurements and health- and performance-related body metrics that drive real-world outcomes. If you want to move beyond passive model training and actively pioneer solutions to tangible physical challenges, this is your sandbox. Key Responsibilities: Train and improve models and algorithms to produce anthropometric measurements and health and performance-related body metrics from 3D body scans. Work on 3D data processing, object recognition, and spatial mapping Conduct testing, debugging, and optimization of the algorithms Collaborate with software engineers to bring the models to production environments. Leverage AI-powered coding assistants such as Cursor for productivity. Produce analytics, accuracy, and performance reports for stakeholders. Participate in R&D initiatives and implement ideas from research papers Compensation, Perks & Benefits Generous PTO policy + 12 paid US holidays Medical, dental, and vision insurance for you and your family Paid Parental Leave 401k About Us Fit:Match is a B2B2C technology company on a mission to revolution

Overview ENERCON’s Data Center Mission Critical Group is seeking a Principal Engineering Project Manager to join the team. In this dynamic role, you will lead engineering projects, collaborate with technical teams to create detailed proposals, and manage all aspects of project execution, including schedules, risk management, and financial health. You'll drive client satisfaction through effective communication, high-quality deliverables, and strong relationship-building, while overseeing the work of engineers, designers, and subcontractors to ensure successful project outcomes. This position can be based in one of the following locations: Atlanta, GA Chicago, IL San Francisco, CA region Virginia Ohio Texas Remote in the US Responsibilities Every day offers the opportunity to lead with purpose, inspiring your team to craft innovative engineering solutions while driving projects to success. You’ll not only manage timelines and resources but also empower your engineers, strengthen client partnerships, and uncover new possibilities, all while delivering exceptional service and shaping the future of the business with each project you lead. Client & Team Relations: Demonstrate professionalism and dedication, providing exceptional service to both clients and teammates, while fostering positive relationships Project Leadership: Lead projects by collaborating with technical colleagues to develop detailed engineering proposals, managing schedules, and executing recovery plans when

Reliance Health ’s mission is to make quality healthcare delightful, affordable, and accessible in emerging markets. From Nigeria, Egypt, Senegal and beyond, we offer comprehensive health plans tailored to both employers’ and employees’ needs through an integrated approach that includes telemedicine, affordable health insurance, and a combination of partner and proprietary healthcare facilities. By leveraging advanced technology, we are transforming the healthcare landscape, making it more efficient and accessible for everyone. We are hiring a Data Engineer to build a strong foundational platform that powers the business’s core data use cases, developing scalable, efficient, and robust pipelines through best-in-class coding practices, multi-source ingestion, and seamless ML model orchestration. The ideal candidate is analytical, curious, and collaborative, bringing a sharp eye for detail to craft data infrastructure that drives reliable, high-impact business outcomes. As a Data Engineer, you will do the following: Ingestion Build robust pipelines to ingest data from a variety of sources ETL Development & Maintenance Continuously improve and maintain our ETL/ELT process, ensuring that the business has a set of clearly defined and highly useable tables that can be used to solve many business problems. Ensure code committed by other data departments is a good standard. Perform optimizations to keep processing costs controlled Orchestration Build orchestration, version contro

About MCU: At Municipal Credit Union , we believe that an incredible culture helps create a happy and motivated team that works hard to achieve the best results for themselves and their members. For more than 100 years, MCU has provided affordable financial products and convenient services to a membership base that is now comprised of over 600,000 individuals. With each new generation we have the pleasure of interacting with, we maintain the credit union promise of people helping people. Our Mission: To help hard-working New Yorkers build better tomorrows Our Vision: Be New York's most loved financial institution by helping our members build their best financial futures Overview: The data engineer is responsible for designing, building, and maintaining robust data pipelines and models that support enterprise analytics and application development. This role requires a strong background in data integration, transformation, and quality assurance, ensuring that data is consistently reliable, accurate, and usable for business needs. Responsibilities : Specific duties include, but are not limited to, the following: Integrate data sets from various source systems into unified formats. Perform ELT (Extract, Load, Transform) operations to convert source data types into standardized target formats. Cleanse and transform data by applying business rules to ensure consistency and usability. Conduct data cleansing and validation to meet enterprise data quality standards. Monitor and troubl

Provide technical solutions for new features and support existing ones; Design and detail machine learning and data solutions to meet business needs; Develop predictive models and machine learning algorithms to solve complex business problems; Conduct data exploration, preparation, and analysis activities, from conception to model validation; Interpret results and generate insights focusing on measurable business impact; Develop and define key business questions and create datasets capable of answering them; Implement, tune, and optimize data platforms and solutions based on streaming and distributed processing; Act in the design, development, and operation of solutions using AWS Analytics and Machine Learning services; Apply supervised, unsupervised, and deep learning techniques as needed by projects; Utilize experimentation, versioning, and model monitoring tools to ensure delivery quality. Proficiency in programming logic; Experience in solution design and detailing; Hands-on experience with Python; Hands-on experience in Machine Learning; Knowledge of Natural Language Processing (NLP) and/or Computer Vision; Experience with AWS Analytics and Machine Learning services such as Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, and Amazon...