Top Senior Data Engineer Jobs in Columbus, OH

This role involves designing, building, and optimizing data solutions in cloud environments, implementing data pipelines, developing ETL workflows, collaborating with stakeholders, and ensuring data quality across the lifecycle.

Design and maintain scalable data pipelines, collaborate with cross-functional teams, manage data architectures, optimize Snowflake performance, and enhance data workflows.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

Lead the implementation of AML detection pipelines using Palantir Foundry. Train team members in technical skills and oversee data architecture and maintenance.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

The Data Engineer will develop and maintain data pipelines for healthcare analytics, ensuring data quality, compliance, and integration across diverse sources while supporting enterprise data strategy.

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.

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

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

The Senior Data Engineer will develop and maintain data pipelines, collaborate with Analysts, and ensure high code and data quality on the Hungryroot Analytics model.

As a Data Engineer, build efficient data processing systems, model data to support analytics, and collaborate with teams to enhance Netflix's data-driven culture.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

The Sr Data Engineer will lead the Ceded Reinsurance Integration Initiative, develop scalable data pipelines, mentor junior engineers, and consult with cross-functional teams while utilizing Agile practices.

The Senior Data Governance and Quality Engineer will design data quality frameworks, drive governance initiatives, and collaborate with teams to ensure data integrity and compliance.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The Lead Data Engineer will manage data migration efforts, oversee data quality and cleansing, and ensure alignment with Oracle Cloud's supply chain objectives. Responsibilities include developing governance frameworks, collaborating with stakeholders, and leading data management initiatives for successful project execution.

The Senior Analytics Engineer will design data models, optimize distributed systems, develop metrics, and collaborate across teams to enhance data-driven decision making.

Design and optimize data pipelines, work with structured/unstructured data, ensure data quality for analytics, and collaborate with data scientists.

As a Senior Data Engineer, you will architect, design, and implement data lakes and warehouses while managing AWS environments, ETL pipelines, and analytics projects. Collaborate with teams to enhance strategic data processes and support healthcare solutions.

Lead the integration of a React/Java application with Monday.com, ensuring data synchronization, database performance, and collaboration with developers for high-quality solutions.

The Senior Data Analytics Engineer develops business intelligence solutions using the Microsoft Analytics stack, collaborates with clients, and delivers scalable data solutions.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

The Sr. People Analytics Engineer will lead HR data governance, build data pipelines in Snowflake, and create Power BI dashboards, enhancing HR analytics capabilities.