Data Engineer Sr

About the role

This role designs, builds, and supports scalable data platforms, data products, application integrations, and analytics solutions that enable business decision-making across Power Delivery. The successful candidate will partner with business stakeholders, data analysts, application developers, and technology teams to deliver trusted, governed, and reusable data assets.

Responsibilities

• Design, build, and support enterprise data pipelines using ETL and ELT methodologies.
• Develop scalable ingestion frameworks for structured, semi-structured, and streaming data.
• Build and maintain Databricks notebooks, workflows, and data pipelines.
• Ingest data from source systems using Azure Data Factory, Kafka, CDC technologies, APIs, files, and database sources.
• Implement data quality checks, monitoring, and exception handling.
• Support Bronze, Silver, and Gold data architectures within the Databricks Lakehouse.
• Design and maintain Delta Lake tables and data products.
• Build and enhance business applications using Microsoft Power Apps, Power Automate, Power Platform, and OutSystems.
• Implement CI/CD practices using GitHub and Azure DevOps.
• Maintain documentation, lineage, and metadata for enterprise data assets.

Requirements

Education: Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical discipline.

Experience: 3-7 years of experience in data engineering, analytics engineering, or software development, including building enterprise data pipelines and integrations, and working with cloud-based data platforms.

Skills

• Data Engineering: ETL/ELT design, data ingestion frameworks, data pipeline orchestration, Data Warehousing concepts, Data Lake and Lakehouse architectures (Medallion architecture).
• Databricks: Databricks Workflows, PySpark, Spark SQL, Delta Lake, Unity Catalog, and Data Products.
• Cloud & Integration: Azure Data Factory, APIs, Kafka, CDC technologies, and SQL Server.
• Development: Python, SQL, GitHub, and Azure DevOps.
• Business Applications: Power Apps, Power Automate, Power Platform, and OutSystems.

Preferred Qualifications

• Utility industry experience.
• Power Delivery domain knowledge.
• Experience supporting Transmission or Distribution Analytics.
• Real-time data streaming experience.
• Knowledge of AI/ML enablement on Databricks.
• Experience with Power BI integration and Direct Query architectures.

Must be authorized to work in the US without sponsorship.

Benefits

• Medical, dental, vision, life, and disability insurance plans.
• Employee Stock Purchase Program (ESPP).
• 401K program with company match after 12 months of tenure.
• Health Savings Account (HSA) on the HDHP plan.
• SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions.
• Corporate discount savings program and other discounts.
• On-demand training program, access to certification prep, and a library of technical and leadership courses/books/seminars after 6+ months of tenure.
• Certification discounts and perks for associations including CompTIA and IIBA.
• Dedicated customer service team and a certified Career Coach.