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Associate Data Engineer

Job in Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listing for: Baker Tilly US
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

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Overview

Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world’s leading financial centers – New York, London, San Francisco, Los Angeles, Chicago and Boston.

For more information, visit  or join the conversation on Linked In, Facebook and Instagram.

Equal Opportunity – All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation or other legally protected basis.

Job Description

Associate Data Engineer

Key Responsibilities
  • Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for performance, security, and cost control.
  • Design relational and lakehouse models; create Fabric One Lake shortcuts, medallion‑style layers, and dimensional/semantic models for Power BI.
  • Build automated data‑quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure Dev Ops or Git Hub.
  • Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non‑technical audiences.
  • Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators.
Qualifications
  • Education – Bachelor’s in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
  • Experience – 2–3 years delivering production data solutions, preferably in a consulting or client‑facing role.
  • Strong T‑SQL for data transformation and performance tuning.
  • Python for data wrangling, orchestration, or notebook‑based development.
  • Hands‑on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines).
  • Project experience with Microsoft Fabric (One Lake, Lake houses, Data Pipelines, Notebooks, Warehouse, Power BI Direct Lake) preferred.
  • Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred.
  • Exposure to Dev Ops (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred.
  • Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred.
Seniority level
  • Mid‑Senior level
Employment type
  • Full‑time
Job function
  • Information Technology
Industries
  • Accounting
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Position Requirements
10+ Years work experience
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