Top Data Engineer Jobs

As a Data Engineer, you will build and maintain scalable data pipelines, implement data engineering frameworks, and support AI initiatives. You will also design processes for data cleansing, transformation, and orchestration while adhering to engineering standards.

As a Data Engineer at Equifax, you will integrate, cleanse, and structure data, develop SQL and Python pipelines, and ensure data quality checks while collaborating with stakeholders.

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.

As a Senior Data Engineer, you will develop and maintain data pipelines and infrastructure for data analysis, focusing on ETL processes and collaboration with cross-functional teams.

The Data Engineer, Lead will oversee data engineering activities, mentor teams, develop data pipelines, and maintain platforms for diverse clients.

The Data Engineer conducts data analytics projects, implements data standards, and collaborates with stakeholders while ensuring data quality and integrity.

As a Data Engineer Intern, you will design and build data systems and tools for AI-driven workflows, optimize data quality across GTM systems, and develop internal applications using TypeScript and React.

The Principal Data Engineer will design and optimize data pipelines, mentor team members, develop data products, and ensure data integrity while collaborating across teams.

Design, build, and maintain scalable data pipelines, automate workflows with Airflow/Python, develop PostgreSQL models, deploy analytics across Linux environments, and create Power BI datasets and dashboards to support Finance, Operations, and Customer tools.

The Data Engineer will design and maintain scalable data infrastructure and pipelines, ensuring data quality and security on Azure, while collaborating with client teams.

Design and build scalable data pipelines and architectures for League Studio, ensuring data reliability and supporting analytics across teams while mentoring junior engineers.

As a Founding Data Engineer, you'll build ETL pipelines, design scalable data models on AWS, and process complex healthcare data to improve patient care.

Build and maintain ETL pipelines and workflows to process cloud billing data. Design data storage systems and develop validation systems to ensure data quality.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.

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.

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.

Migrate HiveQL and Python workflows from CDSW to Databricks, design and maintain ETL pipelines and databases, optimize data workflows on cloud platforms (AWS/Databricks), implement CI/CD, and collaborate with analytics teams to ensure scalable, high-quality data delivery supporting DoD stakeholders.

Mid-level Data Engineer responsible for managing data infrastructure, ensuring data quality, and developing Power BI dashboards and reports. Involves collaborating with various teams, integrating data, and ensuring compliance with reporting requirements.

The Data Engineer at Booz Allen will design, develop, and maintain data applications and pipelines while mentoring a multidisciplinary team to derive insights from complex data systems.

The role involves building data pipelines, processing structured and unstructured data, and collaborating with a multidisciplinary team on technology solutions for clients in various sectors.

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.

As a Data Engineer, you will organize data from various sources to provide insights for critical missions, develop data pipelines and platforms, and collaborate in an agile environment.

The Data Engineer will build and maintain scalable data pipelines, process large datasets, and coordinate data handling with privacy compliance, mainly using Azure and various data technologies.

Curative AI is seeking a Data Engineer to design and maintain data infrastructure, support data initiatives, automate healthcare management, and ensure quality data handling in a fast-paced AI healthcare startup.

As a Lead Data Engineer, you'll design and implement data solutions, collaborate with Agile teams, and mentor team members while working with various technologies such as Java and AWS.