Top Data Engineer Jobs

Design and develop ETL workflows, process Kafka streams, and implement data transformation to generate insights and compliance reports.

The Data Engineer will execute data architecture projects, manage data ingestion processes, ensure data quality, and transition data to new systems while collaborating with investment teams.

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.

Assist in developing and maintaining data pipelines and models, conduct data wrangling, and support dashboard creation. Ideal for university students eager to learn.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

As a Data Engineer, you'll build data solutions, support analytics, and ensure data quality while collaborating across teams to optimize data management.

The Data Engineer will drive data discovery for USSOCOM, architecting deployment of tools like BigID, managing data mapping, and ensuring high visibility of sensitive data across environments.

As a Data Engineer, you will design and build scalable data pipelines and models, maintain data governance, and collaborate with AI engineers while ensuring data quality and compliance.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

The Data Engineer will build data transformation systems and connect diverse data sources to create transparent pricing for small businesses. Emphasis on accuracy and customer satisfaction is key.

As a Data Engineer Intern, you'll develop pipelines for organizing data, support data platforms, and grow skills in analytics and data examination.

The intern will assist in designing and developing data solutions, collaborate with teams for data transformation, and help create models for analytics and reporting.

The AWS Cloud Data Engineer will design, develop, and enhance AWS data environments, build scalable Data Lake solutions, and lead proofs-of-concepts into production.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

As a Data Engineer, design and maintain data pipelines, ensure data quality, and support AI workflows using modern tools and cloud environments.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

As the first Data Engineer, design and implement a scalable data platform, build data pipelines, and establish data modeling standards. Enable BI accessibility and document core metrics.

Design and build data pipelines using AWS services and Python. Collaborate with data teams to ensure data quality and optimize performance.

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.

Lead the development of AI solutions and data engineering strategies. Implement AI data pipelines, collaborate with teams, and ensure the reliability of data systems.

Lead the development of AI data pipelines, improve data capabilities, integrate AI solutions, mentor team members, and ensure operational efficiency.

As an AI Data Engineer, ensure the reliability and accuracy of AI Agents through systematic evaluation and validation, utilizing strong analytical skills and data quality principles.

The Data Engineer will enhance the enterprise Data Lake by integrating data sources, ensuring data accessibility, and supporting analytical teams through data ingestion, transformation, and governance in both cloud and on-prem environments.

As a Data Engineer, you'll design and manage the data warehouse and ingestion solutions, ensuring data integrity and quality while collaborating with various teams to support analytics and business intelligence needs.

The HR Data Engineer designs and maintains data pipelines, transforms HR data into insights, and ensures data accuracy, governance, and security while supporting analytics initiatives.