Top Data Engineer Jobs

Design and build scalable data pipelines for Investment Data Standard and knowledge graph, implementing data quality controls and collaborating with cross-functional teams.

The Data Platform Engineer maintains and optimizes databases and data infrastructure, collaborating with various teams to ensure system reliability and performance while automating processes and supporting data pipelines.

The Data Engineer will optimize data infrastructure, modernize SQL processes, support data governance, and mentor team members while enhancing analytics capabilities.

As a Senior Data Engineer, you will develop data pipelines, architect innovative data products, and integrate AI/ML models to enhance business insights.

Support the Hadoop ecosystem applications, maintenance of datasets, and optimising data pipelines. Manage Big Data transfers and oversee data operations.

The Senior Data Engineer will design, implement, and manage data pipelines for real-time analytics and ML training datasets, ensuring efficient data flow and quality in a hybrid environment.

The Senior Data Infrastructure Engineer will design and maintain ETL pipelines, develop data infrastructure, and ensure data reliability for analytics and machine learning across teams.

The Data Architect & Strategy Lead will assess and optimize data operations, manage MongoDB performance, and implement modern data architecture and strategies, ensuring system reliability and performance.

Lead the architecture and implementation of a new People Analytics platform on a modern data stack, ensuring AI readiness, governance, and security while optimizing for performance.

As a Staff Data Engineer, you will design and build data pipelines, optimize data models, and collaborate with product and engineering teams to enhance data processing capabilities.

As a Staff Data Engineer, you will build and manage data ETL/ELT systems, ensure data quality and observability, optimize systems for performance, and collaborate with cross-functional teams.

Lead design and implementation of scalable data architectures and pipelines (real-time and batch), mentor junior engineers, ensure pipeline reliability and security, adopt new tools, collaborate cross-functionally, and implement data governance.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

The Senior Data Engineer designs, builds, and maintains data pipelines and ensures data quality controls while supporting data analytics and reporting needs.

Design and implement ETL processes, collaborate with stakeholders, develop data pipelines, and ensure compliance with federal guidelines in a remote setting.

The Senior Data Engineer will lead data platform design, mentor teams, and develop scalable data solutions using Snowflake and AWS services.

The Data & Integrations Engineer will architect, develop, and manage data integration workflows, ensuring effective real-time and batch data exchange for health system partners, while mentoring other engineers.

The role involves designing and managing data pipelines, developing canonical datasets, and ensuring data integration and compliance. Collaborate across teams to meet data needs and maintain data architecture.

The Senior Data Engineer will architect and implement scalable data pipelines, collaborate with cross-functional teams, and ensure data quality using modern tools and techniques.

The Analytics Engineer will build and maintain data infrastructure and dashboards, support ad hoc data requests, and manage stakeholder relationships.

The Analytics Engineer will develop the reporting infrastructure, manage data integration from various sources, and create automated dashboards for client performance insights.

The Senior Data Engineer will design, develop, and maintain data platforms, create ETL processes, handle data quality issues, and mentor teammates while ensuring scalability and performance in data solutions.

Lead Data Engineer responsible for building and scaling data infrastructure, leading projects, mentoring engineers, and collaborating with cross-functional teams to deliver high-quality data solutions.

The role involves leveraging Informatica IICS and AWS for building integrations, designing data pipelines, and optimizing performance, requiring 5 years of experience.

The role involves developing and optimizing big data applications, collaborating with users, managing the development process, and mentoring less experienced analysts while ensuring compliance with regulations.