Top Data Engineer Jobs

The Senior Consultant, Data Engineer will design modern data platforms, build workflows, and translate business needs into technical solutions across various industries.

Develop data solutions for analytics, facilitate scalable data engineering projects, manage teams, and implement new technical approaches. Collaborate with various stakeholders to ensure quality and efficiency in data processes.

Design, build, and maintain scalable data pipelines and platforms for banking data. Collaborate with teams to ensure secure, reliable data products.

This internship provides hands-on experience in data engineering, focusing on data modernization, SQL work, data integration, documentation, and collaboration within Agile teams, while learning about enterprise data platforms.

We are seeking a Data Engineer to design, build and optimize scalable data pipelines. Strong experience in Databricks, PySpark, and data warehouse concepts is required.

The Data Engineer will architect and maintain modern data platforms, manage ETL/ELT pipelines, integrate diverse data sources, and champion data governance while supporting advanced analytics and AI workloads.

The Data Engineer will design, build, and maintain data pipelines and cloud solutions, ensuring data quality and supporting analytics. Key tasks involve developing ETL processes, managing CI/CD, and collaborating with teams for data integration.

As a Senior Data Engineer, you'll design data pipelines, develop analytics ecosystems, and integrate AI/ML capabilities for mission-driven projects, guiding teams in an agile environment.

The Data Engineer will design and build data pipelines and platforms, mentor teams, and implement AI/ML solutions for various high-impact projects, primarily in secure environments.

The Data Engineer is responsible for building and maintaining data pipelines, ensuring data quality and reliability, and collaborating with various teams on data needs. This involves working with AWS tools and programming in Python and SQL to support analytics and infrastructure.

The Data Engineer will build and maintain an enterprise Azure data platform, integrate legacy data systems, and support executive KPI reporting and analytics initiatives.

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.

The role involves building scalable data pipelines, optimizing ETL workflows, designing data schemas, and ensuring data quality and governance while collaborating with cross-functional teams.

Lead data engineering teams, oversee data architecture and pipelines, implement data governance, and partner with cross-functional teams to drive business outcomes and enhance data management practices.

The Lead Snowflake Data Engineer will design and deliver data engineering solutions, manage data pipelines, and mentor teams in cloud environments.

The role involves building and maintaining financial data pipelines in Databricks, bridging Snowflake, and ensuring data accuracy for finance reporting.

As a Founding Data Engineer, you'll build ETL pipelines, design scalable data models on AWS, and process complex healthcare data to improve patient care.

Build and maintain ETL pipelines and workflows to process cloud billing data. Design data storage systems and develop validation systems to ensure data quality.

As a Data Engineer I, you'll build and maintain data pipelines for climate and weather datasets, working closely with senior engineers and contributing to design discussions and documentation.

The role involves designing, developing, and maintaining data pipelines, ensuring data quality, and collaborating across teams to solve complex problems in a dynamic environment.

The Data Engineer will build and maintain the data platform, optimize data transformations, implement data governance, and collaborate on data assets to ensure data-driven decision making.

The Cloud Data Engineer will design, implement, and manage data solutions on Microsoft Azure, create and maintain data pipelines, and ensure data security for decision-making processes.

Lead technical strategy for data architecture, build and optimize ETL/ELT and streaming pipelines, establish observability and data quality standards, mentor engineers, drive large-scale cross-team designs, and deliver self-serve data products for analytics and ML.

The Principal Data Engineer will provide technical leadership, design complex software architectures, mentor teams, and drive data engineering best practices within the organization.

The Principal Data Engineer designs and maintains scalable data systems, evaluates new technologies, mentors junior engineers, and leads data engineering initiatives in agile environments.