
Staff Data Engineer
Brookfield, WIJobSeen todaySeen in employer's feed today
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At a glance
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Job overview
The Staff Data Engineer will shape enterprise data platforms, guide technical decisions, and build scalable solutions across hybrid environments. The role supports internal operations and client-facing data products through secure, high-performing data capabilities, with strong governance and privacy standards. Health care industry experience is strongly desired.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
We are looking for a Staff Data Engineer to shape the direction of enterprise data platforms in Brookfield, Wisconsin. In this role, you will guide technical decisions, partner with engineering and leadership teams, and build scalable solutions across hybrid environments. This position focuses on delivering secure, high-performing data capabilities that support both internal operations and client-facing data products while maintaining strong governance and privacy standards. Health care industry experience is strongly desired.
Responsibilities:
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Provide senior technical guidance on data platform architecture, serving as a key advisor to engineering partners and business leaders.
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Design and evolve scalable frameworks for ingesting, transforming, storing, and governing high-value data across warehouse and lakehouse environments.
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Lead delivery of complex data initiatives by aligning project scope, coordinating contributors, and communicating progress, risks, and outcomes to stakeholders.
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Establish and uphold data governance, lineage, auditability, and stewardship practices, including administration of cataloging capabilities that improve visibility and control.
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Develop and enforce data security standards, including least-privilege access models and protections for sensitive and de-identified healthcare information.
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Architect and optimize robust batch, streaming, and event-driven pipelines that improve reliability, resilience, and processing efficiency at enterprise scale.
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Build and enhance cloud-based data solutions using Databricks, Delta Live Tables, Python, Scala, and ETL technologies to support diverse structured and unstructured datasets.
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Create and maintain infrastructure as code with Terraform and related deployment assets to strengthen platform consistency, scalability, and operational efficiency.
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Develop APIs and integration patterns that connect internal platforms and external systems, enabling dependable data exchange with third-party applications and client solutions.
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Monitor platform performance, manage pipeline health, and partner with the business on cost-conscious designs that balance transparency, value, and long-term sustainability.
Requirements • Strong experience designing and implementing enterprise data engineering solutions in cloud-based environments.
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Advanced proficiency with Python and hands-on expertise building ETL workflows for large-scale data processing.
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Demonstrated experience with AWS services, including data pipeline technologies and broader cloud data architecture.
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Deep working knowledge of Databricks and Azure Databricks for data transformation, orchestration, and platform development.
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Experience building reliable batch, streaming, and event-driven data pipelines with a focus on performance and resilience.
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Solid understanding of data governance, access controls, security best practices, and privacy requirements for sensitive data.
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Background creating integrations with external systems and APIs, along with experience supporting data products for internal or client use.
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Ability to lead technical initiatives, influence architectural direction, and collaborate effectively across engineering and leadership teams. Technology Doesn't Change the World, People Do.®
Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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How this job compares
Set against the 6,338 open Data Engineer jobs on Olive Jobs, counted November 11, 2026.
- Pay
- This postingNot listed
- Wisconsin median$107–202K/yr58 salary ranges
- US median$60–71/hr274 hourly ranges
- Openings
- Olive Jobs lists 70 open Data Engineer jobs in Wisconsin and 6,338 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- Data Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,565 postings).
- Education
- 2,497 of the 6,338 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 11, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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