Senior Data Engineer

Location: Hybrid in Oak Park Heights, MN (3 days onsite per week) – 6-month contract with potential to extend or convert.

About the Role

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.

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.

Responsibilities

• 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

Requirements

• 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

Preferred Qualifications

• dbt
• Fivetran or similar enterprise data ingestion frameworks
• Azure services including: Azure DevOps (ADO), Azure Blob Storage, Azure Functions
• Metadata-driven or configuration-driven pipeline development
• Data Vault, Dimensional Modeling, or Star Schema design
• Data governance, observability, and DataOps practices
• Building data foundations that support AI/ML use cases

What We're Looking For

• 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

Pay

$62–$67/hour, dependent on skills and qualifications.

Schedule

Hybrid: 3 days onsite each week in Oak Park Heights, MN.