Top Data Engineer Jobs

The role involves designing and building Azure data platforms, implementing ETL/ELT processes, and managing data architecture while ensuring reliability and governance. The engineer will provide leadership through code reviews and documentation.

The Data Engineer II will build and maintain data pipelines, optimize data transformations, and ensure data quality in a cloud-based architecture.

This internship allows students to design AI-powered tools, optimize data workflows, collaborate with teams, and gain hands-on experience in data engineering.

As a Data Engineer II, you will design and operationalize data solutions, mentor teams, and support analytics transformation using AWS and Python, focusing on data quality and governance.

As a Senior Clinical Data Engineer, you'll oversee clinical data lifecycles, manage data integrity, collaborate with project teams, and optimize data management processes for clinical trials.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

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.

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.

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.

The Data Engineer is responsible for designing and maintaining data architecture, implementing data pipelines, and collaborating with cross-functional teams to align data strategies with business needs.

As a Data Engineer I, you will design, build, and operationalize data solutions, manage data governance, and collaborate with teams to optimize analytics processes. Responsibilities include developing pipelines, troubleshooting issues, and mentoring team members.

The Data Engineer will manage data discovery and classification efforts, deploying technologies like BigID to create a Global Data Inventory and ensure visibility of sensitive data across hybrid environments.

Design and implement large-scale Snowflake-based data platforms, migrate on-prem databases to AWS/Snowflake, build ETL/ELT pipelines and data lakes, create dimensional models, maintain CI/CD and scheduling (Control-M), provide technical leadership and modernization guidance, and develop performant data solutions across multiple database platforms.

Design, build, and maintain scalable single- and multi-tenant data solutions and RESTful APIs using SpringBoot, Java, and Python. Implement ETL/ELT processes, develop and tune database code (PL/SQL, Snowflake, Azure SQL), perform data modeling and cataloging (PII mapping with Alation/Big ID), and support deployments, QA readiness, mentoring, and technical strategy for stakeholders.

The Lead AWS Data Engineer designs and optimizes AWS data architectures and pipelines, analyzes datasets, collaborates with stakeholders, and provides technical leadership while focusing on performance tuning and automation.

As a Data Engineer, you will develop analytical data products, build data pipelines, maintain infrastructure, optimize solutions, and collaborate with stakeholders to enhance data governance and support vehicle prognostic initiatives.

The role involves managing data pipelines for AI and quantitative research, focusing on L3 market data architecture and integrity, API development, and collaboration with researchers.

The posting contains company and benefits information but no role-specific responsibilities. The title indicates a Data Engineer supporting digital marketing, likely focusing on data pipelines, analytics, and collaboration with marketing and engineering teams.

The Data Engineer will manage Databricks environments, optimize data pipelines, perform ETL development, and build data applications to support organizational data needs.

The role involves building advanced data solutions for national security, utilizing cloud-native applications, ETL processes, and collaborating on AI/ML capabilities. Requires active TS/SCI clearance and strong skills in data manipulation and database management.

The Data Engineer I will design, build, and maintain data infrastructure, develop scalable data pipelines, and provide technical support for data-driven projects.

The Senior Data Engineer will architect, build, and maintain scalable data pipelines and infrastructure, mentor junior engineers, and collaborate on data solutions for Openly's insurance platform.

As a Staff Data Engineer, you develop data products, design data for analytics, and support Precision Ag business through data insights and tools. You will harmonize data, implement data pipelines, and lead teams on complex projects, ensuring efficient and impactful solutions for agriculture.

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.