Senior Data Engineer

This is a fully remote position, open to applicants in Wisconsin.

📋 Description

• Take ownership of and deliver significant data products within WSI’s medallion architecture.

• Convert raw and standardized data into governed, high-quality datasets suitable for analytics, AI, and operational usage.

• Design, construct, and enhance data solutions on Microsoft Fabric, which includes pipelines, Lakehouse/Warehouse frameworks, PySpark notebooks, and semantic models.

• Develop and apply data architecture patterns (medallion, SCD, CDC, orchestration, CI/CD), customizing them to meet real-world scale, performance, and business requirements.

• Maintain data quality, observability, and performance at scale.

• Establish validation frameworks, monitoring, SLAs, and cost-efficient storage and compute strategies.

• Collaborate with stakeholders to convert requirements into reusable, scalable data models and curated data products.

• Lead the integration of legacy reporting and BI tools into a cohesive, governed analytics platform.

• Incorporate security, governance, and best practices, including role-based access, cataloging, and release management.

• Serve as a technical leader by contributing to standards, mentoring colleagues, and enhancing overall engineering quality.

• Utilize modern development tools (e.g., GitHub Copilot or similar) to expedite delivery and improve engineering efficiency.

⛳️ Requirements

• Over 7 years of experience in data engineering, building and managing enterprise-scale data platforms and products.

• Proven expertise with Microsoft Fabric or closely related Microsoft data technologies, including Lakehouse/Warehouse architecture and OneLake.

• Experience in data pipelines and orchestration.

• Proficient in PySpark/Python-based data transformation.

• Knowledge of semantic modeling and Power BI integration.

• Extensive experience in SQL dimensional modeling (star/snowflake) and incremental data patterns (SCD, CDC).

• Demonstrated ability to implement data quality, testing, and observability frameworks.

• Strong understanding of Git-based workflows and CI/CD practices for data and analytics platforms.

• Experience in supporting business reporting and analytics, creating clean, usable semantic models and datasets.

• Preferred domain experience in logistics, supply chain, or related systems (e.g., 3PL, WMS, TMS, OMS).

🏝️ Benefits

• Competitive salaries and opportunities for career advancement.

• Medical, Dental, Vision, Critical Illness, Accident, and Flexible Spending Plans available.

• Company-sponsored Short/Long-term Disability, Life Insurance, and Employee Assistance programs.

• Company-funded Time-Off (PTO), Sick Leave, and Holiday Pay.

• Retirement 401(k) Plan with Discretionary Employer Match and Profit Sharing.