Top Data Engineer Jobs in Raleigh, NC

The role involves building scalable, distributed microservices in Go and managing user data, requiring extensive backend development experience.

Lead design and development of enterprise data platform, overseeing data services and pipelines, ensuring reliability and governance, mentoring teams, and optimizing processes.

The Senior Software Engineer will focus on Lucene's distributed indexing and query capabilities, improve code features, and collaborate with a global team.

The Senior Data Engineer will build and maintain data pipelines, work with ETL systems and big data technologies, and ensure data reliability and accessibility in support of clinical research efforts.

Dragos seeks a Staff Data Engineer to support the ICS/OT Cybersecurity mission. Responsibilities include developing technology and threat intelligence for industrial systems protection.

Design and maintain high-quality data infrastructure services, build scalable pipelines, and collaborate for data modeling and reporting, emphasizing data-driven decisions and automation.

As a Senior Software Engineer, you will build and maintain the data platform, ensure data quality and safety, and improve operational efficiency while collaborating with cross-functional teams.

The Senior Data Engineer will develop and maintain scalable data pipelines, collaborate on data models, monitor data quality, and manage data integration across cloud platforms.

As a Senior Software Engineer for the Data Platform team, you'll design and maintain scalable data services, collaborate on data architecture, and ensure high performance and reliability. Responsibilities include developing APIs, improving data processing systems, and utilizing modern data tools.

The role involves designing and evaluating prompts for Voice AI, conducting data-driven analysis, collaborating across teams, and leading a team focused on prompt evaluation and quality analysis.

As a Senior Data Engineer, you will design and maintain large-scale data systems supporting analytics initiatives, ensuring efficient data processing and collaboration with stakeholders.

As a Staff Data Engineer, you will lead the design and optimization of data ingestion pipelines, develop reusable components, and ensure data integrity while collaborating with cross-functional teams in a fast-paced environment.

Responsible for building infrastructure for data ingestion and availability, focusing on backend data processing and occasional frontend tooling. Drive architectural design and maintain high-quality processes.

Design, develop, and maintain data systems and real-time APIs, ensuring high performance and reliability for Netflix's services. Collaborate with teams and drive innovation in fast-paced environments.

This role involves converting SAS code to Spark, optimizing Spark jobs, and maintaining backend services while ensuring compliance and collaboration within an Agile environment.

As a Senior Backend Engineer, you'll design and implement scalable backend services for blockchain data analytics, lead technical discussions, and mentor juniors.

As a Data Analytics Engineer at dv01, you'll manage data pipelines, write production-ready code, and collaborate with analysts and clients, leveraging modern technologies to optimize data for the financial market.

As a Staff Data Engineer, you will lead the technical direction of Peerspace's data platform, mentoring engineers and enhancing data practices across the organization.

The role involves designing scalable data platforms, developing ETL patterns, collaborating with various teams, and managing production issues.

As a Software Engineer I, contribute to the design and operation of Abnormal's data platform, develop tools for data integration, and automate infrastructure for improved performance. Collaborate with engineering teams to solve scalability issues while learning from experienced engineers.

The Senior Software Engineer will define and deliver data platform offerings, build tooling for storage systems, and work cross-functionally to improve scalability in data systems.

The Data and Reporting Engineer collaborates with Database Engineers to maintain database objects, develop reports, troubleshoot data issues, and support projects.

The Senior Data Engineer will design and implement scalable data pipelines using Databricks and Apache Spark, optimizing workflows for AI-driven solutions and collaborating with data teams.

Seeking a hands-on Data Engineer to build scalable data pipelines on Databricks, optimize Spark workloads, and collaborate on AI projects.

As a Senior Data Engineer, you will design and maintain data infrastructure, building scalable data pipelines for real-time analytics and decisioning, while collaborating with cross-functional teams.