Top Data Engineer Jobs

As a Lead Data Engineer, lead development in actionable technical solutions within Agile teams, utilizing expertise in programming, big data tech, and cloud-based data services.

As a Lead Data Engineer, you'll design, develop, and deploy data solutions using various programming languages and cloud technologies while collaborating with Agile teams, mentoring others, and conducting code reviews.

Responsible for designing, building, and maintaining scalable data pipelines and transformation processes, ensuring data quality and collaborating with teams.

As a Data Engineer, you will design and maintain data infrastructure, build ingestion pipelines, and collaborate with ML and product teams for data-driven features.

As a Data Engineer at Bikky, you will build data models, optimize pipelines, manage data sources, ensure data quality, and enhance developer productivity within a team-focused on the restaurant industry.

As a Data Engineer, you'll design and manage ETL workflows using Informatica, ensuring high data quality, writing optimized SQL queries, and collaborating with teams for production deployments.

Designs and implements data solutions, manages data integration, develops frameworks and pipelines, and advises on technical strategy while mentoring juniors.

As a Data Engineer, you will develop and deploy data pipelines and platforms, architect data systems, and collaborate with a multi-disciplinary team to ensure meaningful data insights for clients.

The Data Engineer will develop data pipelines, architect systems, and support data engineering activities for national security projects, focusing on ETL processes and DataOps capabilities.

As a Databricks Data Engineer, you will develop data pipelines, support data architectures, and collaborate with teams to deliver actionable insights.

As a Data Engineer, you will develop and deploy data pipelines and platforms, supporting clients' data analysis needs across various projects, focusing on advancements in AI, IoT, and technology solutions.

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.

The role involves architecting intelligence infrastructure, building data pipelines, collaborating with other teams, and ensuring data accessibility and security for threat detection systems.

The Senior Data Engineer will design and maintain ETL pipelines, integrate operational data, and create analytics to enhance decision-making for AI Ops.

As a Data Engineer at Booz Allen, you'll design, develop, and maintain cloud-based data platforms, pipelines, and databases to extract insights from data for various missions.

The Principal Data Engineer will define data architecture, design scalable platforms, lead technical initiatives, and align data strategy with business goals.

As a Data Engineer, you will acquire, curate, and publish data for analytical uses, ensuring data quality and supporting business processes through efficient data solutions.

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

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.

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

Design, build, and maintain scalable GCP data pipelines and ETL/reverse ETL processes using Dataflow, Dataform, and BigQuery. Develop secure APIs for ingestion, optimize data models and Datastream integrations, implement monitoring, and ensure GDPR/CCPA-compliant data governance for player analytics and fraud detection.

The Sr. Data Engineer is responsible for application development, database performance monitoring, data analytics, and ensuring compliance with quality standards.

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.

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.