Top Data Engineer Jobs

Data Engineer will develop and support data warehouse projects, analyze data integrations, work with ETL tools, and improve processes while collaborating with team members.

The Data Engineer will analyze, develop, implement, test, and support data warehouse projects. Responsibilities include project support, data validation, and enhancing data management processes, all while collaborating with team members and improving performance.

The Workday/Fabric Data Engineer will develop and maintain business intelligence initiatives, including reporting, data pipelines, and data warehousing to support strategic objectives at USNH.

Lead design and delivery of complex, scalable data solutions and pipelines using SQL, Python, Synapse, Snowflake, dbt, and Fivetran. Ensure data quality, security, observability, and compliance (GDPR/HIPAA), mentor engineers, conduct architecture reviews, drive automation and cost/performance optimization, and partner with cross-functional teams to implement governance and data lineage.

The Principal Data Engineer will lead development projects, design scalable data pipelines, ensure data quality, and mentor a team of engineers while collaborating with stakeholders.

The Senior Data Engineer will manage Oracle Exadata Database Machines, ensuring operational availability, performance engineering, and automation, along with infrastructure architecture and lifecycle management.

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.

As a Data Engineer, you will design and build data platforms and pipelines, ensuring the effective integration and processing of large-scale data from various sources, while collaborating in an agile environment.

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

Lead design and deliver cloud-based data engineering solutions across Agile teams. Build, test, and support full-stack data systems using big data, streaming, and cloud technologies; mentor engineers and ensure high-performance, well-tested code.

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 will design, develop, and maintain data pipelines, support researchers through data management, and ensure compliance with governance requirements while communicating technical information clearly.

Design and maintain scalable ETL pipelines in Databricks, develop data transformations, and manage integrations and cloud environments for NASA's data solutions.

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.

As a Data Engineer at Calico, you'll develop infrastructure for research data, collaborate on projects, mentor junior engineers, and ensure data governance.

As a Data Engineer I, you will design, build, and maintain data systems and pipelines for analytics, requiring technical skills in programming and data architecture.

The Data Engineer will lead data lifecycle strategy, manage data acquisition and cleansing, and collaborate with teams to optimize data solutions and architecture.

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

As an Azure Data Platform Consultant, you will deliver data solutions using Azure and Fabric, engage with clients, design solutions, and optimize data platforms.