Top Senior Data Engineer Jobs

The Senior Data Engineer is responsible for developing and optimizing data models, collaborating on data architecture, and managing data flow for analytics and business intelligence.

The Senior Data Platform Engineer will enhance data infrastructure, improve data quality, and lead CDC initiatives, collaborating across teams to optimize data usage and decision-making.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

As a Senior Data Engineer, you will design and maintain data solutions to support financial reporting while collaborating with cross-functional teams to ensure data accuracy and integrity.

The Sr Data Analytics Engineer will develop and support ETL solutions and data architectures for business intelligence, ensuring data integrity and scalability. Responsibilities include optimizing data pipelines and collaborating with data science teams to drive business growth through data-driven decisions.

Design, build, and operate secure, scalable cloud data pipelines, data lake/warehouse solutions, and governance. Integrate new sources, support analytics and BI, mentor junior engineers, enable data accessibility, and provide production support.

The Senior Data/Analytics Engineer will design and implement operational data pipelines, ensuring data quality and lineage for decision-making in government operations.

The Solutions Data Architect will guide customers in data warehouse initiatives, lead technical discussions, design architectures, and drive customer success from proof of concept to production.

The Senior Data Engineer will design and build data pipelines for usage and revenue reporting, manage Snowflake as the enterprise data warehouse, and collaborate with Finance to ensure data accuracy and quality.

The Principal Database Architect & Engineer will own the data components of complex infrastructure solutions and lead teams to deliver innovative database technology solutions, ensuring optimal performance and operational efficiency.

The Data Engineer/Scientist extracts insights from complex data sets, optimizes algorithms, ensures data quality, develops BI solutions, and mentors junior team members.

The Senior Data Engineer will manage data tuning on relational databases, utilize Big Data technologies, and coordinate with technical teams and business users.

The Senior Data Engineer will work with data tuning, big data technologies, and coordinate with technical teams and business users.

The Senior Data Engineer will work with data tuning on relational databases, utilize big data technologies, and coordinate with teams. A strong academic background and experience with large datasets are required.

Lead the design of DataOps platforms, focusing on scalable data infrastructures and automation frameworks. Oversee robust data orchestration and establish quality frameworks.

As a Senior Data Engineer, you will build and maintain data pipelines, support analytics needs, and ensure data integrity for operations and reporting at Finix.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As a Senior Data Engineer, you will collaborate to build Data Warehouse Solutions, develop data products, and optimize data processes using tools like dbt and Airflow. You'll ensure data integrity and work with various stakeholders to translate business requirements into technical 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.

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

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.