Associate Data Engineer

🕒 October 27

💵 $85.9k - $162.9k / year

⏰ Full Time

🟡 Mid-level

🚰 Data Engineer

Where this job comes from

Posted on Baker Tilly US's careers page ↗Baker Tilly US's careers page, not through a job board

First seen by Remote Rocketship October 27

Still open on Baker Tilly US's site. Checked 38 minutes ago.

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Logo of Baker Tilly US

Baker Tilly US

5001 - 10000 employees

🏗️ Construction

🏥 Healthcare

📦 Logistics

Construction • Healthcare • Logistics

Baker Tilly US is a professional services firm offering accounting, assurance, tax, and business advisory services. The company provides a wide range of services, including cybersecurity, artificial intelligence consulting, ESG and sustainability advisory, and risk advisory. Baker Tilly serves numerous industries such as construction, energy, healthcare, higher education, and real estate by offering industry-specific insights and solutions. It is also part of the Baker Tilly International network, the 10th largest accountancy and advisory network globally.

📋 Description

• Design, build, and optimize modern data solutions for mid-market and enterprise clients • Develop scalable, well-documented ETL/ELT pipelines using SQL, Python, and an orchestration platform such as Azure Data Factory, Fabric Data Pipelines, or Apache Airflow • Implement best-practice patterns for performance, security, and cost control • Design relational and lakehouse models and create medallion-style data layers • Prepare and transform data for semantic layers and AI consumption • Build automated data-quality checks, lineage, and observability metrics • Contribute to CI/CD workflows in Azure DevOps or GitHub • Gather requirements, demo iterative deliverables, and document technical designs • Translate complex concepts to non-technical audiences • Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators • Collaborate with solution architects, analysts, client stakeholders, clients, and internal stakeholders to design and implement scalable data engineering solutions

🎯 Requirements

• Bachelor’s in Computer Science, Information Systems, Engineering, or related field (or equivalent experience) • 3-5 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 (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred • Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred • Experience using approved AI-assisted development tools responsibly preferred • Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred • Experience in integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Oracle, Costpoint) preferred

🏖️ Benefits

• Comprehensive compensation and benefits package to eligible employees

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