Principal Data Engineer

Blattner Company

$133K — $194K *
Avon, MN 56310In-Person
Energy & Utilities
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or related field (experience may substitute for degree).
  • 10+ years of hands-on data engineering experience with extensive technical expertise.
  • Deep knowledge of Microsoft Fabric and its components including Lakehouse architecture and data pipelines.
  • Expertise in SQL and Python; experience with Spark/PySpark.
  • Proven experience integrating enterprise source systems into centralized data platforms.

Responsibilities

  • Design and own the architecture of Blattner’s Microsoft Fabric Data Lakehouse.
  • Mentor the data development team through guidance, code reviews, and collaboration.
  • Build and maintain data pipelines across multiple enterprise systems.
  • Evaluate emerging technologies and recommend best practices to leadership.
  • Collaborate with IT to ensure scalable platform infrastructure.

Benefits

  • 100% employer paid HDHP insurance premiums for employees.
  • 401(k) with company match.
  • HSA and FSA options available.
  • Dental and vision insurance provided.
  • Education Assistance (Tuition Reimbursement) offered.
  • Promotes work/life balance.
  • Family-focused culture with on-site gym.
Full Job Description

A DAY IN THE LIFE

Blattner Company is building a Modern Data Platform on Microsoft Fabric to support data needs across our Wind, Solar, Battery, Data Center, and Gas business units. The Principal Data Engineer will own the technical architecture of this platform, establish engineering standards, and serve as a hands-on mentor to the data development team. This role works closely with Data and IT leadership on platform direction and is responsible for ensuring the right technical foundation is in place as the platform scales.

STEP INTO THE ROLE

  • Designs, builds, and owns the end-to-end architecture of Blattner’s Microsoft Fabric Data Lakehouse (Bronze / Silver / Gold medallion architecture).
  • Serves as the primary technical mentor for the data development team, elevating capability across the board through hands-on guidance, code review, and pair work.
  • Builds and maintains data pipelines across 30+ source systems including JDE EnterpriseOne, Workday, HCSS HeavyJob, Procore, Salesforce, and ServiceNow.
  • Evaluates emerging technologies and data trends and recommends adoption to leadership.

WHAT YOU’LL NEED

  • Bachelor’s Degree in Business Analytics, Data Science, Computer Science, Mathematics, Engineering, or a related field. Relevant experience may be considered in lieu of degree.
  • 10 or more years of hands-on data engineering experience with progressive technical scope. Deep expertise in Microsoft Fabric – Lakehouse, Pipelines, Dataflows Gen2, Eventstream, KQL, Notebooks, Semantic Models, Purview, strong command of the broader modern data stack: Azure Data Factory, Azure SQL, ADLS Gen2, Delta Lake / Delta Sharing, APIM, expert-level SQL and Python; experience with Spark / PySpark.  Proven experience designing medallion (Bronze/Silver/Gold) or equivalent Lakehouse architectures at scale. Experience integrating enterprise source systems (ERP, HRIS, CRM, field ops) into a centralized data platform.

WHAT SETS YOU APART

  • Experience with Databricks and Unity Catalog, particularly in multi-platform interoperability scenarios.
  • Familiarity with Microsoft Purview for data governance, lineage, and sensitivity labeling.
  • Microsoft certifications: Fabric Analytics Engineer, Azure Data Engineer Associate, or equivalent.
  • Background in EPC, construction, energy, or infrastructure industries.

HOW WE INVEST IN YOU

  • Competitive pay
  • 100% employer paid HDHP insurance premiums for employees
  • 401(k) with company match
  • HSA and FSA options
  • Dental and Vision insurance
  • Education Assistance (Tuition Reimbursement)
  • Work/Life balance
  • Employee/Family focused culture
  • Gym on site
  • And more!
$133,847.00 - $194,078.00 Individual Compensation to be determined based on the applicant's applicable experience and qualifications balanced against internal equity.


 

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