Senior Data Engineer

WSI (Warehouse Specialists, LLC)

Senior Data Engineer developing and optimizing data solutions on Microsoft Fabric for decision-making across various business operations. Collaborating with stakeholders to ensure data quality and business adoption.

Posted 5/2/2026full-timeRemote • Wisconsin • 🇺🇸 United StatesSenior💰 $125,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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

Comp & perks

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.

ATS Keywords

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Hard Skills & Tools

data engineeringdata platformsdata productsdata pipelinesorchestrationPySparkPythonSQLdimensional modelingsemantic modeling

Soft Skills

stakeholder partnershiptechnical leadershipmentoringengineering qualitycommunication