Senior Data Engineer

ABCorp is seeking a Senior Data Engineer to own the data infrastructure and pipeline layer that powers their business and operational analytics. The ideal candidate brings deep data engineering expertise and a systems-oriented mindset to build reliable, scalable pipelines that move data from manufacturing systems, ERP platforms, financial systems, and operational tools into their modern data warehouse.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
• 5+ years of experience in data engineering, with a track record of building production-grade ELT/ETL pipelines, data warehouse models, and data infrastructure in a modern cloud environment.
• Expert-level SQL proficiency including complex query optimization, performance tuning, and deep knowledge of data warehouse query patterns.
• Hands-on experience with dbt for data modeling, transformation, and testing — including lineage management, CI testing, documentation, and production-grade model ownership.
• Strong experience with cloud data warehouses, primarily Azure Synapse Analytics, and deep understanding of warehouse architecture, ELT patterns, and performance optimization.
• Strong Python proficiency for pipeline development, automation, and data engineering tasks — applied with software engineering discipline, not just scripting.
• Experience with Azure Data Factory (ADF) for pipeline orchestration, and familiarity with CI/CD and infrastructure-as-code practices applied to data pipelines.
• Experience with ERP systems and operational data — familiarity with platforms such as Infor Visual, SQL Server, SAP, or similar enterprise business systems is a strong plus.
• Deep experience with Azure data infrastructure — including Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage (ADLS), Azure Data Factory, Azure DevOps, and Azure Monitor.
• Proven ability to own complex, multi-month data engineering projects with minimal guidance — from architecture through to production deployment.
• Familiarity with event streaming systems, CDC pipelines, or large-scale schema migration projects is a plus.
• Self-starter mindset with strong ownership, engineering rigor, and comfort operating in a fast-paced environment where you help define how the data platform grows.
• Ability to work onsite in Boston, MA.

Benefits

• Competitive salary
• Benefits package