Top Data Engineer Jobs

Design and build data pipelines using AWS services and Python. Collaborate with data teams to ensure data quality and optimize performance.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

As an AI Data Engineer, ensure the reliability and accuracy of AI Agents through systematic evaluation and validation, utilizing strong analytical skills and data quality principles.

The Data Engineer will enhance the enterprise Data Lake by integrating data sources, ensuring data accessibility, and supporting analytical teams through data ingestion, transformation, and governance in both cloud and on-prem environments.

Senior Data Engineer responsible for designing, building, and operating scalable Databricks-on-AWS data pipelines, implementing CI/CD and IaC, ensuring data quality and governance, and mentoring junior engineers to support analytics and ML workloads.

Senior Data Engineer responsible for designing and implementing ETL/data warehouse solutions, developing and supporting applications, advising stakeholders, ensuring security and compliance, and leading projects and junior analysts. Requires cloud and Big Data tooling, database and ETL expertise, and domain experience in mortgage origination/servicing.

The role involves developing and optimizing big data applications, collaborating with users, managing the development process, and mentoring less experienced analysts while ensuring compliance with regulations.

The HR Data Engineer designs and maintains data pipelines, transforms HR data into insights, and ensures data accuracy, governance, and security while supporting analytics initiatives.

Provide pre-sales technical leadership for data management and analytics solutions: analyze customer needs, design and validate cloud data architectures (warehouses, lakehouses, ETL/ELT), lead demos/POCs, integrate unstructured data and RAG/vector workflows, and support field sales to deliver end-to-end analytics and GenAI solutions.

Provide pre-sales technical leadership for data management and analytics solutions: assess customer needs, design and validate cloud data architectures (warehouses, lakehouses, ETL/ELT, RAG/GenAI), build demos/POCs, and support sales with presentations, integration planning, and technical guidance.

Provide pre-sales technical leadership for field sales: design and validate data management and analytics solutions, lead POCs/demos, perform systems integration, and advise on cloud data platforms, unstructured data processing, RAG/GenAI, ETL/ELT, governance, BI and ML workflows.

Design and implement real-time and batch data pipelines (MQTT/Redpanda, Dagster), parse binary message formats, build data warehouses (Postgres, Iceberg, Parquet, S3), design high-performance data models, validate and normalize sources, and improve local development and CI/CD with GitHub Actions to support maritime domain awareness and defense-related AI workloads.

Develop and maintain cloud data warehouse on AWS, build ETL/ELT pipelines, enhance data quality, and work with analytics teams.

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

The Senior Data Engineer will design, develop, and support data solutions, working with extensive cloud and data technologies while collaborating with Agile teams.

As a Lead Data Engineer, you'll design and maintain data pipelines, collaborate with teams, and support data-driven decision making across the organization.

As a Data Platform Engineer, you'll design and maintain scalable data systems, partner with teams on product direction, and ensure system reliability and security.

Designs, implements, and administers distributed database platforms (Oracle, CockroachDB, Postgres, NoSQL, Snowflake, etc.), supports replication and high-availability, performance tunes queries, automates deployments with containers and cloud tooling, collaborates with engineering and ops teams, and writes operational documentation for production trading systems.

The Lead Data Engineer will design and manage the data platform and ETL processes, enhance data reliability, mentor engineers, and improve data performance.

Lead design, build, and deploy end-to-end data and ML pipelines for imagery models. Partner with Data Science and stakeholders to prioritize use cases, integrate models into production and APIs, implement monitoring, enforce data governance and quality, define reusable frameworks, and provide technical leadership and mentoring across teams.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The Sr. Data Engineer is responsible for application development, database performance monitoring, data analytics, and ensuring compliance with quality standards.

Lead architecture, strategy, and hands-on execution for Faire's data platform. Build and scale secure, cost-efficient data ingestion, ETL/ELT, warehousing, orchestration, monitoring, and governance. Mentor engineers, influence cross-team priorities, and drive performance and cost optimization for analytics and data products.

Ensure timely, high-quality data conversions from legacy systems to new platforms. Work with Implementation Specialists and Project Managers to execute conversion tasks, validate data integrity, troubleshoot issues, support deployments, and assist scheduling and customer communications.