Top Data Engineer Jobs

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.

The Data Engineer will design, build, and optimize data pipelines, ETL workflows, and large-scale data solutions, with strong SQL expertise required.

The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.

The Data Engineer will build and scale Baseten's internal data platform, designing data models and pipelines while enabling self-service analytics and ensuring data reliability.

The Data Engineer position involves designing and implementing ETL/ELT pipelines, ensuring data integration, and maintaining a secure and efficient ECOSphere system.

Lead the engineering and operational excellence of data collaboration ecosystems, focusing on scalable data architectures, automation, and MLOps practices.

The Data Engineer (AI) Senior Engineer will develop and maintain data pipelines, ensure data quality, implement deployment processes, provide training, and comply with military standards.

The Data Engineer will design and maintain scalable data pipelines, optimize ETL processes, and ensure data quality for analytics in healthcare.

The Databricks Data Engineer will develop and implement ETL pipelines, CI/CD pipelines, and ensure data governance while collaborating with teams.

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

Lead design, implementation, automation, and maintenance of large-scale ETL pipelines and scalable data solutions. Translate business questions into data requirements, validate and test datasets, mentor junior engineers, collaborate with analytics and stakeholders, and ensure robust, production-ready data solutions across global clients.

As a Senior Data Engineer, you will design and maintain data pipelines, define governance standards, and collaborate across teams to enhance Headway’s data architecture.

As a Senior Data Engineer, you will enhance data products, build automated data pipelines, and improve data platform capabilities, collaborating with various teams to drive initiatives.

Design, build, and maintain scalable data pipelines and infrastructure to support analytics and AI/ML. Perform data extraction, cleaning, modeling, and integration across systems, collaborate with data scientists and architects, and support operationalization via DataOps/DevSecOps/MLOps while ensuring security and compliance.

As a Data Engineer III, you will develop data solutions, lead projects, mentor peers, and ensure efficient data pipelines within cloud architectures.

Design, build, and maintain scalable finance-focused data pipelines and models; ensure data quality, manage migrations to modern stacks, monitor loads, troubleshoot issues, and collaborate with global teams and vendors to support reporting and analytics.

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.