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Closed on July 2, 2026.
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Associate Data Engineer
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Job Description
Associate Data Engineer role with Baker Tilly Advisory Group, LP in Tampa, FL (onsite), offering USD 85,910 - 162,890 per year.
Responsibilities
- Data Engineering: Develop scalable ETL/ELT pipelines using T-SQL, Python, Azure Data Factory or Fabric Data Pipelines, and Databricks; implement patterns for performance, security, and cost control.
- Modeling & Storage: Design relational and lakehouse data models; configure Fabric OneLake shortcuts, medallion style layers, and dimensional/semantic models for Power BI.
- Quality & Governance: Build automated data quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub.
- Client Delivery: Gather requirements, demonstrate iterative deliverables, document technical designs, and translate complex concepts for non-technical stakeholders.
- Continuous Improvement: Research new capabilities, share findings in internal communities of practice, and contribute reusable accelerators; collaborate with clients and internal teams to design scalable data solutions.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or 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 with at least one Microsoft service (Azure Data Factory, Synapse Pipelines, Fabric Data Pipelines).
- Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred.
- Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred.
- Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred.
- Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred.
- Technologies you will work with: T-SQL, Python, Azure Data Factory, Fabric Data Pipelines, Databricks, Microsoft Fabric, OneLake, Lakehouses, Power BI, Delta Lake, Azure DevOps, GitHub, YAML pipelines, Terraform, Bicep, Dynamics 365, Workday, Costpoint.
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