Top Data Engineer Jobs

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.

The Principal Data Engineer will design and implement scalable data platforms, lead architecture discussions, and mentor teams. Requires expertise in Azure and Databricks.

The Databricks Data Engineer will design and implement ETL pipelines, manage data ingestion processes, and collaborate with business teams to create analytics solutions.

The Principal IT Data Developer will lead development teams, engage with stakeholders, and drive the lifecycle of data applications while ensuring compliance with GxP regulations.

The Data Engineer will develop and deploy software in government environments, manage data quality, and establish schemas while ensuring data validation steps are set up for a federal customer.

This role is a Data Engineer position focused on building data foundations and pipelines, conducting analyses, and translating business needs into data-driven solutions.

The Data Engineer will deliver data solutions and manage data integration across Nationwide Financial products, focusing on data curation and publication for operational and analytical use cases.

The Data Engineer III will design and develop data applications, oversee multiple projects, and ensure smooth operations of data solutions. Responsibilities include BI administration, system performance monitoring, and maintaining CI/CD pipelines.

Lead the design and delivery of scalable data pipelines and platforms for enterprise-level analytics, ensuring operational excellence and data governance.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Design, build, and maintain scalable data platforms and pipelines (ETL/ELT). Support data ingestion, parsing, transformation, and analytics; collaborate with cross-functional teams to deploy and operate data solutions for mission-driven clients.

Design, implement, and maintain scalable ETL/ELT data pipelines and dashboards (Databricks, Power BI) for federal/military clients while ensuring compliance, data governance, and mentoring junior staff.

The Junior Data Engineer will design and maintain data pipelines, manage ETL processes, optimize databases, and collaborate with stakeholders on data solutions.

The Data Engineer will design, optimize databases, and manage data, ensuring accuracy and accessibility, while working with clients to meet data needs.

Design and build scalable cloud-native data pipelines and models to produce trusted, analysis-ready data. Ensure data quality, governance, and privacy controls, apply software engineering best practices, enable BI and AI/ML consumption, and collaborate with clients and cross-functional teams.

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 manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As a Data Engineer, you will build and maintain data pipelines, collaborate on data modeling, and automate data processes for the Games team at Netflix.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

The Data Engineer III will design and maintain data infrastructure, ensuring efficient data loading and compliance while mentoring junior engineers and collaborating with Analytics teams.

Design and maintain data pipelines and cloud-based platforms supporting analytics and ML workloads. Collaborate on data architecture and establish governance practices.

The Data Engineer will modernize Business Intelligence capabilities, design data pipelines, deploy ML solutions, and collaborate across teams to improve data processes.

The Data Engineer will develop automated data pipelines for dashboards, import data from external sources, and engage with clients to optimize data usage.

The Data Engineer will develop and maintain scalable ETL pipelines and data warehouse solutions, optimize performance, drive automation, and collaborate with stakeholders to deliver data solutions.