University of Michigan Information and Technology Services ยท 10 hours ago
Data Engineer Lead
Ann Arbor, MI
Full-time
Hybrid
Mid, Senior Level
$113K/yr - $127K/yr
5+ years expThe University of Michigan's Data Science Practice team is seeking a Data Engineering Lead to help lead our data engineering and architecture teams. This role will work directly with Information and Technology Services partners and Campus partners to enable a flexible data ecosystem that meets today's users' needs and scales for future growth.
Information Technology & Services
Responsibilities
Mentor and collaborate with data engineers and architects, and other high-performing team members
Design, implement, and optimize data pipelines that support the university's modernization strategy
Contribute to the design of our future cloud-native data architecture and the selection and implementation of our new toolset
Collaborate with data scientists, analysts, and stakeholders to deliver high-quality, well-documented data products
Develop scalable ETL/ELT processes that integrate data from enterprise systems (e.g., PeopleSoft, Salesforce, Blackbaud)
Establish and promote best practices for data modeling, engineering, and governance in a modern data platform environment
Support agile delivery and CI/CD practices to improve efficiency and quality across the data lifecycle
Qualification
Required
Bachelor's degree in a related field and/or equivalent combination of education, certification, and experience
5+ years of professional experience in data engineering, software development, or a related discipline
Strong proficiency in SQL and experience with both relational and non-relational database systems
Experience developing in Python and/or Scala, particularly for data pipeline creation and automation
Hands-on experience with cloud environments (AWS, Azure, or GCP) and associated data services
Experience with big data frameworks such as Apache Spark or Databricks
Knowledge of workflow orchestration tools (e.g., Apache Airflow, Prefect, or similar)
Familiarity with modern CI/CD and infrastructure-as-code practices (e.g., Terraform, GitHub Actions)
Strong understanding of data architecture, integration, and governance principles
Excellent communication skills and ability to collaborate in a team-oriented environment
Preferred
Master's degree in a relevant field (e.g., Data Science, Computer Science, Engineering)
Experience supporting data and analytics workflows (BI, data science, machine learning, etc)
Familiarity with modern data stack tools and concepts (platforms such as Snowflake, Databricks, Big Query, Redshift; ETL tools such as dbt and spark)
Understanding of data privacy and compliance frameworks (e.g., FERPA, HIPAA, GDPR)
Experience modernizing legacy data systems or migrating to cloud-native architectures
Knowledge of ML Ops, feature engineering, or model deployment tools
Experience mentoring team members or leading technical projects
Background in higher education or research environments is a plus
Benefits
Access to professional development opportunities, conferences, and cutting-edge tools.
Competitive salary and benefits, including generous time off and tuition support.
Company
University of Michigan Information and Technology Services
We are 700+ professionals supporting the U-M community of over 47,000 students, 6200 faculty and researchers, 25,000 staff, and a worldwide network of alumni and retirees.
501-1000 employees
H1B Sponsorship
University of Michigan Information and Technology Services has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2022 (1)
2020 (1)
Funding
Current Stage
Late StageLeadership Team
Michelle Durante, PHR
Senior HR Business Partner
Sol Bermann
Chief Information Security Officer & Executive Director, Information Assurance
Company data provided by crunchbase