Senior Data Engineer Hollstadt Consulting
Listed on 2026-09-18
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Software Development
Data Engineering
Role:Senior Data Engineer
Location:Hybrid in Oak Park Heights, MN (3 days onsite per week)
Duration:6 months with potential to extend or convert
Rate:$62-$67, dependent on skills and qualifications
We are seeking a Senior Data Engineer to serve as the technical leader and engineering anchor for modern data platform initiatives. This is a hands‑on engineering role for someone who can design scalable solutions, influence technical direction, and partner closely with architects, product teams, and distributed engineering teams.
This is not a tool‑focused role—we are looking for an engineer with strong architectural thinking who understands how to build reliable, scalable data solutions from the ground up.
What You’ll Do- Lead the design and development of enterprise‑scale data pipelines and data products
- Partner with architects and engineering teams to establish and enforce data engineering best practices
- Drive technical decisions around data ingestion, transformation, modeling, and delivery
- Design scalable, resilient, and high‑performing solutions across the full data lifecycle
- Collaborate with both onshore and offshore teams, providing technical leadership and mentorship
- Influence delivery teams on implementation approaches, standards, and engineering quality
- Optimize performance, reliability, governance, and operational excellence across the data platform
Must‑Have Qualifications
- 8+ years of Data Engineering experience
- Strong expertise with Snowflake
- Experience building and optimizing complex data pipelines at scale
- Advanced SQL and data modeling skills
- Strong programming experience with Python and/or Spark
- Experience designing data architectures and scalable engineering frameworks
- Ability to lead technical discussions and influence engineering teams
- Excellent communication and stakeholder engagement skills
- Experience working with distributed or offshore engineering teams
- dbt
- Data governance, observability, and Data Ops practices
- Building data foundations that support AI/ML use cases
The ideal candidate is a senior engineer who thinks like an architect. You understand not only how to build solutions, but why they should be built a certain way. You can evaluate tradeoffs, challenge assumptions, and guide teams toward scalable, maintainable outcomes.
We’re looking for someone who can:
- Design solutions, not just implement requirements
- Influence technical direction and engineering standards
- Communicate effectively with engineers, architects, and business stakeholders
- Balance hands‑on delivery with technical leadership
Hybrid schedule: 3 days onsite each week in Oak Park Heights, MN
Contract‑to‑hire opportunity with long‑term growth potential
Candidates must be able to work onsite regularly
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