Data Analytics Engineer (SQL, Python, Databricks)
Eden Prairie, MN · Depends on experience
Applying takes about two minutes. No account, no portal, and a human reads it.
About this role
Roles & Responsibilities:
- Own end-to-end analytics, translating ambiguous business needs into structured analyses, KPIs, and actionable insights.
- Design and develop scalable data queries and transformations using SQL, Python, and Databricks on large, distributed datasets.
- Build and optimise data models to support high-performance analytics and reporting at scale.
- Develop executive-ready dashboards and data products that enable self-service and decision support.
- Collaborate cross-functionally to drive decisions through data storytelling.
- Ensure data quality, governance, and analytics best practices while mentoring junior analysts and elevating team standards.
Requirements
- Must have: SQL
- Must have: Python
- Must have: Big Data
- Must have: Databricks
- Good to have: Snowflake
- Good to have: Machine Learning (ML)
- Strong data modelling for high-performance analytics and reporting at scale
- Experience building dashboards and data products for self-service and decision support
- Strong data storytelling and cross-functional collaboration skills
- Mandatory for all contractors: maintain 90%+ weekly usage of enterprise-approved AI tools such as GitHub Copilot and Microsoft 365 Copilot
- Apply AI tools to enhance coding, documentation, data analysis, and decision-making workflows
- Stay current with evolving AI capabilities to improve delivery quality and velocity
Before you apply anywhere — including here
Ask every firm these questions. We have already answered them.
Do you sponsor work authorization?
Yes, for consultants we employ on W-2 — H-1B transfers, extensions, amendments, and employment-based green cards.
Read moreWhat happens on the bench?
You stay on payroll. For H-1B employees, paying the required wage during employer-caused downtime is a legal requirement, not a perk.
Read moreWill you tell me the client and the layers?
Yes, before you interview. If there is a prime vendor or MSP in the chain, you will know.
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