Associate Data Engineer
Job Description
In this onsite role in Milwaukee, you will design, build, and optimize modern data solutions for mid-market and enterprise clients, with a primary focus on the Microsoft data stack. The work involves turning raw data into analytics-ready assets that support dashboards, advanced analytics, and AI use cases in a consulting and client-facing environment.
Responsibilities
- Develop scalable, well-documented ETL/ELT pipelines using T-SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks, applying best-practice patterns for performance, security, and cost control.
- Design relational and lakehouse models, including Fabric OneLake shortcuts, medallion-style layers, and dimensional/semantic models for Power BI.
- Build automated data-quality checks, lineage, and observability metrics, and contribute to CI/CD workflows in Azure DevOps or GitHub.
- Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts for non-technical audiences.
- Research new capabilities, share findings within internal communities of practice, contribute to reusable accelerators, and collaborate with clients and internal stakeholders to deliver scalable data engineering solutions.
Requirements
- Bachelor’s in Computer Science, Information Systems, Engineering, or a related field (or equivalent 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 using at least one Microsoft service (ADF, Synapse Pipelines, or Fabric Data Pipelines).
- Project experience with Microsoft Fabric including OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, and Power BI DirectLake is preferred.
- Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies is preferred.
- Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks is preferred.
- Experience integrating SaaS/ERP sources (examples include Dynamics 365, Workday, and Costpoint) is preferred.
Technology Focus
Work will center on T-SQL and Python alongside Microsoft data services such as Azure Data Factory, Azure Synapse, and Microsoft Fabric. You will also work with Fabric OneLake, Lakehouse concepts, Power BI modeling, Azure DevOps or GitHub for CI/CD, and relevant lakehouse tooling including Databricks and Delta Lake. Preferred/related areas include Terraform, Bicep, YAML pipelines, test automation frameworks, and integrations with platforms such as Dynamics 365, Workday, and Costpoint, including Power BI DirectLake and Fabric Warehouse.
Location and Compensation
This position is onsite in Milwaukee, WI. Compensation is USD 85,910 - 162,890 per year.
Minimum Experience
Minimum experience is 2 years.