Top Staff Data Engineer Jobs

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

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 architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

The Principal Data Engineer will design and build scalable data pipelines and infrastructure for Customer Success, ensuring data quality and governance, collaborating with various teams to support analytics and reporting needs.

Lead the design and development of data systems for cancer detection, collaborating with scientists and engineers to deliver robust datasets and improve data quality.

This role involves defining data reliability strategies, establishing company-wide standards for data quality, and leading cross-functional data engineering initiatives at Circle.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

As a Staff Data Engineer at DISQO, you will lead the architecture of data pipelines, integrate Generative AI capabilities, and mentor engineers, focusing on scalable solutions and data quality.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

As a Staff Data Engineer, you will lead data infrastructure initiatives, define data standards, and mentor other engineers while influencing technology choices to deliver high-quality data assets.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.

Lead the architecture and development of robust data pipelines and backend services for MLS data, integrating AI solutions and ensuring data quality.

As a Staff Software Engineer, you'll design and operate scalable backend services, collaborate across teams, and ensure high system availability.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

The Staff Data Engineer will manage the end-to-end data lifecycle, develop data pipelines, ensure compliance, and mentor team members in a hybrid role focused on early cancer detection.

The Senior Staff Software Engineer will architect Affirm's lakehouse analytics platform, lead data governance efforts, mentor engineers, and collaborate across teams to optimize data solutions using Snowflake and other big data tools.

Collaborate to design, deploy and automate secure data infrastructure. Ensure data quality and compliance while mentoring team members. Drive innovative data solutions.

As a Staff Data Engineer, you will build and manage data ETL/ELT systems, ensure data quality and observability, optimize systems for performance, and collaborate with cross-functional teams.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

The Staff Data Engineer will lead dashboard development, data modeling, pipeline engineering, and collaborate with product teams to inform strategy through data insights. Responsibilities include mentoring, optimizing performance, and establishing data quality practices.

The Staff Data Engineer will architect and build scalable data pipelines, develop internal tools and APIs, and modernize data operations, focusing on data quality and self-service platforms.

The Principal Software Engineer will develop scalable distributed systems, optimize data pipelines, enhance system performance, and mentor engineers in a data-intensive environment.

As a Staff Software Engineer for the Data Platform, you will lead the evolution of Zocdoc's data infrastructure, focusing on data contracts, APIs, governance, and platform design for scalable data consumption.

The Senior Data Engineer will operationalize data governance by developing tools for data discovery, maintain data quality, and implement enterprise initiatives.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.