Top Data Engineer Jobs in Dayton, OH

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.

As a Data Engineer at Thatch, you'll develop data infrastructure, build ELT pipelines, and collaborate across teams to provide analytics insights.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

As the first Data Engineer, you will manage data ingestion, architecture, and quality for our algorithmic trading team, ensuring high-performance datasets.

The Data Engineer will design, develop, and optimize large scale data pipelines and ensure effective data delivery for cross-functional teams.

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.

The Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The Senior Data Engineer is responsible for building a data lake, developing data pipelines, ensuring data quality, collaborating with teams, and managing ETL processes.

Develop and optimize data pipelines, ensure data quality, design complex data procedures, and guide data engineering tasks. Manage real-time applications and provide insights on data processing.

The Senior Data Engineer will analyze complex data sets, curate data sources, design reports, and collaborate to ensure data quality and insights delivery.

As a Senior Data Analytics Engineer, you'll analyze and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to meet their data needs.

The Senior Data & Analytics Engineer will design and maintain data pipelines, develop analytics schemas, build visualizations, and perform deep-dive analyses to drive business decisions.

As a Senior Data Engineer, you will design and maintain data pipelines, collaborate with cross-functional teams, and drive data solutions, while ensuring data quality and optimization.

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

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.

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.

The Data Services Integration Engineer automates data workflows, integrates systems using Microsoft Power Platform, and ensures data integrity through governance policies and documentation.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

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.