Associate Data Engineer

Key Responsibilities

• Data Engineering: 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.
• Modeling & Storage: Design relational and lakehouse models; create 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, demo iterative deliverables, document technical designs, and translate complex concepts to non-technical audiences.
• Continuous Improvement: Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators.
• Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions.

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.
• Technical Skills: 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 (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake); Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies; Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks; Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint).

Pay

The pay rate range for this job position is $85,910 to $162,890. Actual compensation is influenced by a variety of relevant factors including but not limited to applicant’s skills, prior experience, qualifications, degrees, professional certifications, work arrangements and geographic location.