Top Data Engineer Jobs

As a Databricks Data Engineer, you will develop pipelines for data processing, maintain scalable data stores, and work within a collaborative team to solve complex data challenges.

The Data Engineer will scale analytics in Finance, manage critical ETL pipelines, and ensure effective data solutions for business needs. Collaboration with stakeholders and leading projects are key responsibilities.

As a Data Engineer Intern, you will design, develop, and test data pipelines while learning about data management in cloud platforms. Responsibilities include maintaining and troubleshooting existing pipelines to ensure data reliability and consistency.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

The Data Engineer will lead the migration of large datasets from legacy systems to AWS cloud, develop analytic applications, and manage SQL Server and Oracle databases.

The Data Engineer at Netflix builds systems for efficient data processing and modeling, collaborating with various teams to empower analytical insights and product features.

Develop and design data pipelines, optimize data delivery and automate processes to support end-to-end solutions in various settings.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

Design, build, and maintain Databricks-based data warehouse and lakehouse solutions for healthcare data. Implement ETL/streaming pipelines, data governance, security (PHI/PII), Infrastructure-as-Code, cost optimization, and pipeline monitoring while collaborating with cross-functional teams to deliver reliable data products.

Design, build, and maintain Azure-based data infrastructure and pipelines; integrate disparate data sources; implement data governance and quality; support retail analytics product discovery and insights; establish standards and best practices; mentor team members and consult cross-functionally to drive business growth.

The Staff Data Engineer will architect, build, and maintain scalable data pipelines, implement ETL processes, and mentor team members.

Design, develop, and optimize data solutions using GCP services. Collaborate with stakeholders, perform data analysis, and ensure data integrity while managing data pipelines and implementing governance standards.

As a Sr. Data Engineer II, you will design and ingest data from Object Management Systems supporting mission operations, support AI/ML data pipelines, and provide technical support in a classified cloud environment.

As a Data Engineer, you'll develop data architectures and pipelines, manage scalable data processing, automate workflows, and ensure data quality within the Data Platform organization.

The Data Engineer will migrate ad hoc data flows to AWS, automate data processes with Python, and manage data systems using Maven and Palantir tools.

Lead Data Engineer responsible for organizing data from diverse sources, building technology solutions, and mentoring a team in a fast-paced environment.

The Data Engineer will develop data pipelines and integrations, focusing on healthcare data to enhance financial operations, ensuring efficient data handling and driving impactful solutions.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

Lead data integration strategies, ensure data quality, develop BI improvements, and manage junior analysts to meet customer analytics needs.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

The Principal Data Engineer designs, implements, and maintains database systems, ensuring performance and security while mentoring junior staff and defining system architecture.

The Data Analytics Engineer will enhance Salesforce analytics, translate business requirements into technical specifications, maintain data flows, and ensure data quality and reporting standards.

Lead design and implementation of scalable, HIPAA-compliant data pipelines and platforms for healthcare ML. Build ETL, orchestration, and tooling for processing EHR, claims, pharmacy, and bioinformatics data; collaborate with data scientists to produce modeling-ready datasets and ensure data quality, reliability, and operational excellence.

The role involves structuring and ingesting customer data, setting up ETL pipelines, and providing solutions for data export and import.

Design and build data warehouse architecture, develop ETL/ELT pipelines, implement data governance, and partner with teams to improve data systems.