Top Data Engineer Jobs

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.

The Senior Data Engineer develops and maintains data pipelines, collaborates on scalable data solutions, and ensures data security via cloud services.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

The Data Platform Operations Engineer will automate and operate the Enterprise Data Platform ensuring reliability and performance while managing Snowflake and Fivetran resources.

Lead Data Engineer responsible for designing and maintaining data pipelines, managing data systems on cloud platforms, and providing technical leadership.

Seeking a Senior Data Engineer to develop ETL pipelines, ensure data quality, and integrate new data sources in a FinTech startup.

The Senior Staff Data Engineer will design scalable data platforms and pipelines, mentor other engineers, and drive innovative data solutions to enhance business value.

The Senior ETL Developer is responsible for developing solutions for data warehousing, coding ETL programs, and executing data workflows for reporting, using various Azure tools.

The role involves building data platforms and pipelines, integrating AI solutions, and collaborating with product owners to address complex client issues.

The role involves designing and maintaining Alteryx workflows, integrating with Microsoft tools, developing SQL databases, and collaborating with stakeholders for data accuracy and optimization.

Design, build, and maintain scalable data architectures using Databricks on AWS or Azure, ensuring data integrity and optimizing workflows.

Join Recorded Future's Talent Network as a Data Engineer, focusing on Python, ETL pipelines, and web scraping. Stay updated for future opportunities.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

Design and develop data models, pipelines, and practices to support a digital app, ensuring reliable and scalable data procurement.

As a Senior Data Engineer, you will build and maintain data pipelines for analytics, collaborating with teams to implement data models and ensure data quality.

The Data Analytics Engineer will develop data models, create dashboards, maintain data pipelines, and collaborate with various teams to improve analytics practices.

As a Senior Data Engineer, you will design and build data products, establish best practices, and lead technical initiatives in data architecture and workflows within the single-family rental industry.

The Senior Data Engineer will develop scalable data pipelines, manage efficient data workflows, mentor team members, and enhance data quality while collaborating with various teams to meet data needs.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

Design and optimize ETL/ELT pipelines, manage data platforms, ensure data quality, mentor junior engineers, and collaborate with stakeholders.

The Senior Data Analytics Engineer will support data analytics projects by creating dashboards, performing trend analysis, and designing data pipelines.