Top Data Engineer Jobs

Build and maintain scalable batch and real-time data pipelines using Kafka, Google Dataflow, Snowflake and S3. Integrate APIs via Apigee, ensure data quality, publish data for reporting, and collaborate with stakeholders to document workflows and support analytics.

Lead design and delivery of enterprise data centralization and automation for reporting and BI. Build and maintain ETL/SSIS pipelines, data orchestration, file delivery and quality controls, follow SDLC/agile, mentor junior engineers, and partner with business stakeholders to capture requirements and ensure timely data delivery.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

Design, implement, optimize, and maintain scalable, high-availability database solutions for a SaaS healthcare product. Integrate client data, resolve complex data issues, refactor systems for Azure, optimize MSSQL performance, participate in code reviews, and deliver features within Agile/Scrum to ensure reliable, high-performance data services.

The Data Platform Engineer will architect and build a foundational data platform for AI, managing ingestion systems, data quality, and mentorship while working with diverse data types and technologies.

The Principal Data Engineer will design and implement data infrastructure for Voice AI products, lead a team of data engineers, and optimize data systems for machine learning. Responsibilities include building data pipelines, driving infrastructure strategy, and collaborating with cross-functional teams.

As a Data Engineer at LiveKit, you will manage the analytics infrastructure, develop scalable GCP-based data pipelines, and ensure effective data movement and transformation processes, while collaborating with the Analytics and engineering teams.

As a Data Engineer, you'll build and support data processes, integrate external platforms, and maintain Postgres databases to enhance decision-making across teams.

The Data Engineer Intern will gather product requirements, collaborate in Agile projects, maintain documentation, and gain industry insights through mentorship.

The Data Engineer role involves creating and maintaining data pipelines, collaborating across teams, and ensuring data quality for healthcare-related projects.

The Senior Scientific Data Engineer will design and develop software applications, create data architectures, analyze data for solutions, and mentor junior team members within a mission-driven team focused on cancer treatment.

The Junior Data Engineer will support AI initiatives by developing data pipelines, performing data analysis, and collaborating with teams to meet data requirements.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

Data Engineer to develop data pipelines using AWS, Azure, or GCP, advise clients on cloud resources, and collaborate with stakeholders to enhance data architecture.

Data Engineers at CapTech develop data pipelines using AWS, Azure, or GCP, advising clients on optimal cloud solutions and enhancing data architecture.

The Data Engineer will develop cloud-based data pipelines, collaborate with clients on data architecture, and utilize engineering best practices to provide effective data solutions.

CapTech seeks a Data Engineer to develop data pipelines, advise clients on cloud technologies, and collaborate on data architecture solutions while leveraging AWS, Azure, or GCP.

The Data Engineer will develop data pipelines, collaborate with clients, advise on cloud technologies, and solve complex data problems.

The Data Engineer will develop data pipelines, advise clients on cloud solutions, and collaborate to maximize data architecture value.

The Data Engineer will develop data pipelines and solutions on cloud platforms, advise clients, collaborate with users, and ensure effective data architecture.

Data Engineers at CapTech build and maintain data pipelines on cloud platforms, advise clients on technology usage, and ensure data architecture maximizes client value.

The Data Engineer will build and scale data systems, manage data pipelines, ensure data quality, and collaborate with cross-functional teams to utilize entertainment data effectively.

The Data Engineer will design, build, and maintain scalable data pipelines, collaborating with cross-functional teams to support analytics and business operations.

As a Data Engineer, you will build and own the data infrastructure, design pipelines, ensure data quality, and implement DataOps practices while collaborating closely with product and engineering teams.

The role involves migrating on-premises databases to AWS, developing Python scripts for data processing, and building AWS data pipelines. Responsibilities include supporting application teams, data modeling, and ensuring system efficiency.