Top Senior Data Engineer Jobs

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

As a Senior Lead Data Engineer, you'll lead a development team, design and implement data solutions using machine learning, distributed systems, and full-stack technologies, while collaborating with Agile teams and ensuring code quality.

Design and maintain data models in Snowflake to serve as the company's source of truth, ensuring they are clean, queryable, and ready for AI integration. Collaborate with multiple departments to deliver trusted datasets and eliminate inefficiencies in data management.

As a Data Analytics Engineer, you'll build and manage data models in Snowflake, structure datasets for optimal AI performance, and own data transformation while ensuring quality and accessibility for all teams.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Designs, builds, and maintains scalable data pipelines on Databricks, focusing on data quality, integrity, and governance, while collaborating with teams to deliver data solutions.

The Sr. Lead Data Engineer will lead developers in data solutions, collaborate with Agile teams, utilize big data technologies, and develop cloud-based services.

As a Senior Azure Data Engineer, you will design and build data pipelines, implement data models, and lead migrations to Azure, while ensuring optimal performance and governance.

The Data Engineer is responsible for building and maintaining ETL/ELT pipelines, optimizing data storage formats, managing CI/CD pipelines, and creating visualizations with actionable insights, focusing on reliability and data quality.

The Data Engineer II will design, build, and deploy data solutions that enable organization-wide access to data, supporting AI, Machine Learning, and business intelligence. Responsibilities include creating data pipelines, ensuring data quality, and collaborating with teams to enhance data products.

Lead and mentor a data engineering team, define technical vision and strategy, oversee data pipeline design, and collaborate with cross-functional teams.

As a Data Engineer at Promise, you'll design data architectures, automate workflows, enforce data quality, and support analytics, enabling data-driven decisions.

The Staff ML Data Engineer will design and build data systems for AI products, focusing on multimodal data and ensuring efficient data workflows for machine learning research and production.

The role involves engineering modern data platforms, focusing on data ingestion, transformation, and storage while utilizing Azure services and MS Fabric, supporting an investment management firm.

The Senior Bioinformatics Data Engineer will build data pipelines, implement clinical data ingestion, and optimize platform infrastructure while ensuring data quality and compliance with legal standards.

The Data Engineer in Finance Technology supports data integration, analytics, and reporting needs while optimizing ETL/ELT pipelines and mentoring junior staff.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

The Lead Data Engineer at Capital One will design and develop a self-service data platform, deploying tools for advanced analytics while ensuring regulatory compliance.

As a Data Engineer, you will design and maintain data pipelines, ensure data quality, and work with teams to support data-driven initiatives in a healthcare setting.

As a Data Engineer, you will operationalize data pipelines, support ML tasks, and provide expertise in data engineering and security architecture. You'll work with AI teams and present findings to diverse audiences.

The Data Engineer will design, develop, and maintain data pipelines and analytics solutions for the DoD, focusing on financial data and compliance while utilizing Databricks and Foundry within secure cloud environments.

As a Manager, you will lead data architecture projects, oversee AWS and Databricks implementations, and mentor engineers, ensuring high-quality and secure delivery of data solutions.

The Data Engineer Senior will develop an advanced visual analytic application, analyze relational data, and utilize high-performance computing for actionable intelligence.

The Data Engineer will design, build, and maintain data pipelines within a Databricks Lakehouse environment, ensuring data quality and access while collaborating across teams for analytics and ML use cases.

The Data Engineer III builds data infrastructure, manages raw data transformation, maintains data systems, mentors junior engineers, and presents findings to stakeholders.