About The Position

The Senior Data Engineer will support ongoing data initiatives across onshore and offshore teams. The role leads technical execution, provides architectural guidance, and ensures development of scalable, resilient, and optimized data solutions. It focuses on building comprehensive data pipelines and establishing standards for a modern data stack, primarily using Snowflake and cloud technologies, with emphasis on operational excellence and governance. The position is hybrid in Stillwater, Minnesota, with three days onsite per week, and is described as a contract of 12+ months. The posting specifies that candidates must be local.

Requirements

  • 10–12+ years of experience in data engineering.
  • Extensive experience with Snowflake, SQL, and cloud platforms; Azure is preferred, but other cloud platforms are acceptable.
  • Proficiency with data ingestion frameworks such as Fivetran or similar tools; proprietary ingestion software is also acceptable.
  • Hands-on experience with data transformation tools such as dbt or Spark.
  • Strong communication skills, including the ability to explain technical processes, rationale, and goals to business partners and technical teams.
  • Ability to manage and discuss every stage of the data pipeline, from raw ingestion to final business layers.
  • Must be local to the Stillwater, Minnesota area, as specified in the posting.

Nice To Haves

  • Experience in environments emphasizing modern data stack standards and operational excellence.
  • Ability to lead technical initiatives and influence data architecture decisions.
  • Familiarity with automated governance and data quality best practices.
  • Prior experience collaborating across global or offshore teams.

Responsibilities

  • Lead the design, development, and maintenance of data pipelines spanning raw ingestion through transformed and business-ready data.
  • Collaborate with Business Process Owners, Solution Architects, Delivery Leads, and engineering teams to turn complex data requirements into scalable solutions.
  • Explain data processes, implementation rationale, and goals to technical and non-technical stakeholders.
  • Ensure pipelines follow the stated flow: source, ingestion frameworks, raw storage in Snowflake, transformation using dbt or Spark, and final business data layers.
  • Establish and influence data architecture standards, including Governance as Code and operational best practices.
  • Support onshore and offshore teams on ongoing data initiatives with technical guidance and oversight.
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