Top Data Engineer Jobs

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

Lead design and build of a scalable, secure cross-cloud data platform and marts. Drive selection and optimization of the modern data stack, enforce governance and lineage, and establish reusable data models and best practices to support analytics, BI, and ML use cases across product and engineering teams.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

The role involves developing scalable data pipelines, automating workflows, optimizing data models, and ensuring data governance while collaborating with various teams.

Join a 3-month immersive program to work on automation and data engineering projects, with mentorship and potential for a full-time role.

The Data Engineer will build and maintain scalable data pipelines, optimize data for AI/ML models, and collaborate with engineers to ensure data quality and integration across systems.

Looking for a Data Engineer focused on data visualization with experience in handling real-world data and effective communication through data. Extra credit for skills in probabilistic classifiers and full-text search engines.

Data Engineers at Endex design and maintain data pipelines for transforming financial data into insights, focusing on data quality and analytics.

As a Data Engineer, you will create efficient data models, pipelines, and analytics frameworks, collaborating with various departments to transform raw data into actionable insights.

Design, develop, and maintain data pipelines and ETL workflows in Databricks, collaborating with teams to support large data needs in financial services.

As a Data Engineer II at Stackline, you will build scalable data systems, develop ETL processes, and collaborate with cross-functional teams to optimize data workflows.

As a Data Engineer, you will develop and manage the data infrastructure that supports HTS Media's advertising business, build ETL/ELT pipelines, and enable data-driven insights for advertisers and internal analytics.

Design and develop scalable data solutions, manage data pipelines, optimize performance, perform production support, and collaborate with stakeholders.

Design, build, and maintain scalable data pipelines and infrastructure to support analytics and AI/ML. Perform data extraction, cleaning, modeling, and integration across systems, collaborate with data scientists and architects, and support operationalization via DataOps/DevSecOps/MLOps while ensuring security and compliance.

Senior individual contributor leading design and build-out of enterprise Azure cloud data platform capabilities. Defines architecture, reusable patterns, and standards; provides hands-on implementation, technical mentorship, and cross-functional alignment to enable scalable, secure analytics and data solutions.

Lead design and implementation of enterprise Azure cloud data platform capabilities. Define reference architectures, reusable platform components, standards, and enablement for ingestion, storage, processing, security, and observability. Provide hands‑on engineering, technical leadership, cross‑functional collaboration, and mentorship to ensure scalable, secure, and consistent data solutions.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

The Data Engineer will design and build solutions for investment insights using big data technologies, developing data pipelines, and collaborating with cross-functional teams.

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

The HR Data Engineer/Data Scientist will design and maintain data integration pipelines for workforce-related datasets, ensuring high-quality data and collaborating with stakeholders. Responsibilities include automating data workflows, developing documentation, validating data, and implementing governance frameworks.

Design, build, and maintain scalable ETL/data pipelines and data models; ensure data quality and governance; collaborate with data scientists, analysts, and stakeholders; optimize performance and document data systems; evaluate and adopt data platform technologies.

Design and implement scalable data solutions, ETL pipelines, and integrations using Databricks and Azure, ensuring data quality and compliance for analytics.

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 Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

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.