Top Data Engineer Jobs

The Data Engineer at SOM will manage and develop data pipelines, ensure data quality, and lead automation with tools while mentoring junior staff.

The Snowflake Data Engineer will design, implement, and optimize data solutions using Snowflake, ensuring data integrity, security, and performance while developing efficient data pipelines.

As a Data Engineer at Uline, design and manage ETL workflows, ensure data quality, write optimized SQL queries, and collaborate for smooth production deployments.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

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.

The Cloud Data Engineer will design and develop data ingestion pipelines, manage GCP infrastructure, and ensure data availability for operational systems, leveraging AI tools and collaborating closely with data specialists.

The Data Engineer III role involves managing data projects, developing data solutions and pipelines, automating processes, troubleshooting data issues, and mentoring junior developers.

The Data Engineer II develops data pipelines using Snowflake and Azure Data Factory, enhances data quality, and supports cloud migration efforts.

Designs and implements scalable multi-tenant data solutions and pipelines using Python, SQL, Snowflake, Snaplogic, Azure and AWS. Leads architecture design, ensures QA readiness, documents systems, mentors engineers, and coordinates cross-team project delivery on-time and on-budget.

The Data Engineer will design and maintain data pipelines, optimize cloud data warehouses, and collaborate with analytics teams while mentoring junior staff.

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.