> Markdown version of [/jobs/ext/3015648-staff-data-engineer-seattle-provo-hybrid](https://www.wearedevelopers.com/jobs/ext/3015648-staff-data-engineer-seattle-provo-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data Engineer ( Seattle/Provo Hybrid) - **Company:** Forsta Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $110,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Structures, DevOps, Meta-Data Management, SQL Databases, Data Streaming, Delivery Pipeline, Apache Spark, Gitlab, Git, Data Lakes, Information Technology, Data Management, Tools for Reporting, Data Pipelines, Databricks - **Published:** September 20, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/14730686?backUrl=%2Fcareer%2F14730686%2FStaff-Data-Engineer-Illinois-Chicago ## About the Role * Advanced proficiency inAzure 5+ years(Data Lake, ADF, SQL). * Strong expertise inDatabricks (5+ years),Apache Spark (5+ years), andDelta Lake (5+ years). * Proficient inSQL (10+ years)andPython (5+ years); familiarity withScalais a plus. * Strong understanding ofdata modeling,data governance, andmetadata management. * Knowledge ofsource control (Git),CI/CD, and modern DevOps practices. * Familiarity withPower BIvisualization tool., * Bachelor's or Master's degree in Computer Science, Data Science, or related field. * 7+ yearsof experience in data engineering, with significant hands-on work incloud-based data platforms (Azure). * Experience buildingreal-time data pipelinesand streaming frameworks. * Strong analytical and problem-solving skills. * Proven ability tolead projectsand mentor engineers. * Excellent communication and collaboration skills. Preferred Qualifications: * Master's degree in Computer Science, Engineering, or a related field. * Exposure tomachine learning integrationwithin data engineering pipelines. ## Description We are seeking an experienced Staff Data Engineer to join our Unified Data Platform team. The ideal candidate will design, develop, and maintain enterprise-scale data infrastructure leveraging Azure and Databricks technologies. This role involves building robust data pipelines, optimizing data workflows, and ensuring data quality and governance across the platform. You will collaborate closely with analytics, data science, and business teams to enable data-driven decision-making., * Design, build, and optimizedata pipelinesand workflows inAzureandDatabricks, including Data Lake and SQL Database integrations. * Implement scalableETL/ELT frameworksusingAzure Data Factory,Databricks, andSpark. * Optimize data structures and queries for performance, reliability, and cost efficiency. * Drivedata quality and governance initiatives, including metadata management and validation frameworks. * Collaborate with cross-functional teams to define and implementdata modelsaligned with business and analytical requirements. * Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability. * Ensure adherence tosecurity, compliance, and data privacystandards. * Mentor junior engineers and contribute to establishingengineering best practices. * SupportCI/CD pipeline developmentfor data workflows using GitLab or Azure DevOps. * Partner with data consumers to publish curated datasets into reporting tools such asPower BI. * Stay current with advancements inAzure, Databricks, Delta Lake, and data architecture trends. ## Related Videos - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025)