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# Senior Data Engineer

- **Company:** Hollstadt Consulting
- **Location:** United States
- **Experience:** Expert
- **Salary:** $128,960.0 - $139,360.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Storage, Computer Programming, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Vault Modeling, Dimensional Modeling, Python (Programming Language), Metadata, DataOps, Data Ingestion, Sql Optimization, Snowflake, Apache Spark, Star Schema, Data Pipelines, Serverless Computing
- **Published:** August 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5d7aafa933dd9ce1

## About the Role

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

Preferred Experience

 * 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, 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.

## Description

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, 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

Work Arrangement

 * 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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