Data Engineer

The Data Engineer is a core member of the APMG Technology team, responsible for building and maintaining data pipelines, integrations, and models that power the organization’s reporting and operational systems. Working within a small, high-impact team, this role contributes directly to APMG’s data ecosystem — spanning Azure cloud infrastructure, Salesforce NPSP, and a range of integrated SaaS platforms. The Data Engineer partners closely with the Data Architect to translate business requirements into durable, well-tested data solutions, and brings a pragmatic, curious mindset to solving complex integration and modeling challenges.

This role operates with meaningful autonomy and is expected to take ownership of assigned pipelines and domains end-to-end — from design through deployment and monitoring. As a member of a lean team, the Data Engineer also contributes to peer learning, documentation, and the ongoing improvement of team practices, including the use of AI-assisted development tooling to increase velocity and code quality.

$105,000 - $112,000 per year. The exact salary rate is determined by experience and education related to the role, organizational compensation structure, and internal equity.

Hybrid, St. Paul, MN

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Open until filled.

• Design, build, and maintain data pipelines and ETL/ELT workflows using Azure Data Factory and related Azure services
• Develop and maintain data models in the Azure SQL-based Enterprise Data Warehouse, ensuring performance, integrity, and alignment with organizational standards
• Write clean, well-tested Python and SQL code to support ingestion, transformation, and integration tasks
• Build and maintain API integrations between internal systems and third‑party SaaS platforms (e.g., Salesforce NPSP, donation gateways, media systems)
• Implement automated testing for data pipelines and transformations to ensure reliability and catch regressions early
• Monitor pipeline health, respond to data quality issues, and maintain alerting and logging practices
• Collaborate with the Data Architect to implement and adhere to organizational data standards, naming conventions, and governance practices
• Contribute to Power BI reporting by maintaining underlying data models and ensuring accurate, performant dataset availability
• Document pipeline logic, data models, and integration specifications to support knowledge sharing and maintainability
• Participate in code reviews and contribute to a culture of technical rigor and continuous improvement
• Leverage AI-assisted development tools to accelerate implementation, improve code quality, and explore new solutions
• Provide secondary support for business application systems as needed within a collaborative team environment
• Other duties, as assigned

• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent professional experience
• 3–5 years of hands‑on experience in a data engineering, analytics engineering, or similar role

• Proficiency in SQL, including complex query writing, stored procedures, and performance tuning in a relational database environment (SQL Server preferred)
• Proficiency in Python for data engineering tasks, including scripting, API consumption, transformation logic, and testing
• Experience designing and maintaining data models for analytical or operational use cases
• Experience building and consuming REST APIs and integrating data across disparate platforms
• Hands‑on experience with Azure cloud services, including Azure Data Factory or equivalent pipeline tooling and Azure SQL
• Demonstrated experience writing and maintaining automated tests for data pipelines and transformation logic
• Experience delivering within an agile development process, including writing user stories, acceptance criteria, test plans for general data engineering and analytics requirements
• Ability to understand…