The role - what you'll do Barr is seeking a Data Engineer to join our Minneapolis, Minnesota, team. In this hybrid role, you will support the Information Systems group, playing a key part in designing and maintaining reliable data pipelines, integrating with third-party systems and APIs, and contributing to the evolution of our ETL architecture across a variety of use cases. You'll collaborate with cross-functional teams, including data scientists and machine learning engineers, to align data strategies with AI objectives. A successful person in this role is curious and proactive about exploring new data technologies that support innovation in AI and analytics. They enjoy partnering with cross-functional teams and using their expertise to help define practical strategies that improve data quality, maintainability, and reliability while supporting the organization's growing needs around AI readiness and emerging technologies. This person also enjoys collaboration and brings a thoughtful approach to data engineering. Your impact - key responsibilities
ETL development and maintenance: Troubleshoot, maintain, and monitor ETL processes built with SQL Server Integration Services (SSIS), Python, or other processes. Review existing ETL patterns to identify areas for optimization, make recommendations, and contribute to the redesign of integration workflows. Data observability and monitoring: Improve traceability by building audit and logging capabilities into ETL pipelines. Partner with teams to strengthen observability by improving alerting, error handling, and operational dashboards that keep ETL health visible and actionable. Integration architecture: Architect and support robust API and point-to-point integrations with internal and third-party systems-bridging data silos and unlocking smoother automation across software tools. DevOps and change management: Contribute and manage structured change management and version control practices using Azure DevOps to support consistent development and deployment of ETL workflows. Data engineering standards and best practices: Help set the tone for data engineering excellence by guiding best practices in pipeline structure, metadata usage, and data quality-helping ensure each workflow is built to scale and evolve.
Compensation: Anticipated range of $98,000-115,000 annually. Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance. This position is classified as exempt under the Fair Labor Standards Act. A hybrid work arrangement may be considered for this position. A hybrid work arrangement refers to splitting time worked between a Barr office and a home office. This position is based out of Barr's Minneapolis, Minnesota, office. About you - required core competencies
Education: Bachelor's degree in computer science, data engineering, information systems, or a related field or equivalent experience. Experience: Five or more years of relevant experience in data engineering or ETL development,building and managing data pipelines in a production environment. Knowledge of SQL relational databases (especially SQL Server), including writing complex SQL queries and change data capture ETL practices. Experience developing and maintaining ETL processes using SQL Server Integration Services (SSIS). Experience defining or contributing to data governance frameworks, including data quality, access management, and metadata practices. Software/programs: SQL Server Integration Services (SSIS), Microsoft Azure data services (i.e., Azure SQL Database, Azure Data Factory, or Azure Storage); proficiency in a scripting or programing language (e.g., Python, .Net, or PowerShell). Communication: Strong interpersonal, oral, and written communication skills and the ability to communicate effectively with a variety of different people. Must be legally authorized to work in the United States without the need for sponsorship by Barr, now or in the future.
Helpful additional experience (not required)
Familiarity with NoSQL databases such as MongoDB, Redis, or DynamoDB. Exposure to vector databases (e.g., Pinecone, Weaviate, Qdrant, Milvus). Awareness of data patterns in AI/ML systems, including prompt logging, model output storage, and managing metadata associated with generative AI workflows. Basic knowledge of graph databases (e.g., Neo4j, Amazon Neptune).
#LI-Hybrid Benefits - what we offer We are committed to providing an employee experience that attracts and retains top talent. That's why we offer a competitive package of employee benefits - including some unique offerings not found at other companies. At Barr, we also believe that learning doesn't stop when you get your degree, which is why we provide coaching, mentoring, and support for ongoing educational opportunities to foster professional development at every stage of your career.
Competitive, affordable insurance plans: Medical, dental, vision, life, disability, accidental death insurance, and flexible spending accounts for medical and dependent care Retirement benefits: 401(k) retirement savings plan with company contribution and an Employee Stock Ownership Plan (ESOP) with company contribution in Barr stock Profit distribution: Barr has a "no retained earnings" model and distributes all profit to our employees through our annual bonus distribution plan, ESOP, and dividends to shareholders Professional development benefits: Annual time and expense allowances, mentorship program, and many internal training opportunities Work/life balance: Paid time off, holidays, overtime for non-exempt/hourly staff, and compensatory time for exempt/salaried staff (time off or pay for extra time worked), paid family leave Wellness focus: Ergonomic analysis and equipment, Personal Protective Equipment allowance, wellbeing-focused educational opportunities
Please note that benefits eligibility is determined and may change based on part-time, reduced-time, or full-time status. About us - why choose Barr At Barr, you'll join a community of engineers, scientists, and professionals who will help you achieve your ambitions and build a meaningful, rewarding career. You'll serve as a trusted advisor to clients who value Barr's tailored solutions and commitment to exceptional service. As part of our employee-owned firm, you'll contribute to a culture of commitment and camaraderie where staff can thrive as professionals. We value diverse perspectives and experiences and believe an inclusive workplace is critical to our sucess. To learn more about Barr's culture and values, visit: https://www.barr.com/Careers/Our-culture Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
|
Barr Engineering Co.
paid time off, 401(k)
Jun 12, 2025