Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 1966H1B No SponsorCompany SiteLinkedIn

Location

Wisconsin

Posted

25 days ago

Salary

$125K - $200K / year

Seniority

Senior

Bachelor Degree7 yrs expEnglishPySparkPythonSQL

Job Description

Senior Data Engineer

WSI (Warehouse Specialists, LLC)

• Own and deliver impactful data products within WSI’s medallion architecture. • Transform raw and conformed data into governed, high-quality datasets for analytics, AI, and operational use. • Design, build, and optimize data solutions on Microsoft Fabric, including pipelines, Lakehouse/Warehouse structures, PySpark notebooks, and semantic models. • Evolve and implement data architecture patterns (medallion, SCD, CDC, orchestration, CI/CD), adapting them to real-world scale, performance, and business needs. • Ensure data quality, observability, and performance at scale. • Implement validation frameworks, monitoring, SLAs, and cost-optimized storage and compute strategies. • Partner with stakeholders to translate requirements into reusable, scalable data models and curated data products. • Drive consolidation of legacy reporting and BI tools into a unified, governed analytics platform. • Embed security, governance, and best practices, including role-based access, cataloging, and release management. • Act as a technical leader, contributing to standards, mentoring peers, and elevating overall engineering quality. • Leverage modern dev tools (e.g., GitHub Copilot or similar) to accelerate delivery and engineering efficiency.

Job Requirements

  • 7+ years of data engineering experience, building and owning enterprise-scale data platforms and data products.
  • Proven experience with Microsoft Fabric or closely related Microsoft data technologies, including: Lakehouse/Warehouse architecture and OneLake.
  • Data pipelines and orchestration.
  • PySpark/Python-based data transformation.
  • Semantic modeling and Power BI integration.
  • Strong expertise in SQL dimensional modeling (star/snowflake), and incremental data patterns (SCD, CDC).
  • Demonstrated experience implementing data quality, testing, and observability frameworks.
  • Strong familiarity with Git-based workflows and CI/CD practices for data and analytics platforms.
  • Experience supporting business reporting and analytics, building clean, usable semantic models and datasets.
  • Domain experience in logistics, supply chain, or related systems (e.g., 3PL, WMS, TMS, OMS) strongly preferred.

Benefits

  • Competitive wages, and opportunities for advancement.
  • Medical, Dental, Vision, Critical Illness, Accident, and Flexible Spending Plans available.
  • Company-paid Short/Long-term Disability, Life Insurance, and Employee Assistance plans.
  • Company-paid Time-Off (PTO), Sick Leave, and Holiday Pay.
  • Retirement 401(k) Plan with Discretionary Employer Match and Profit Sharing.

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