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Strata Decision Technology

Manager, Data Engineering

Posted 2 Days Ago
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Easy Apply
Hybrid
Chicago, IL
131K-164K Annually
Senior level
Easy Apply
Hybrid
Chicago, IL
131K-164K Annually
Senior level
Lead a data engineering team, oversee cloud infrastructure, drive best practices, mentor staff, and align engineering goals with business objectives.
The summary above was generated by AI

How you’ll make an impact: 

We’re looking for a Data Engineering Manager to lead a team of talented data engineers who are passionate about building resilient, scalable data infrastructure that supports some of the nation’s top healthcare providers. 

In this role, you won’t just be writing code, you’ll also be setting the strategy, coaching your team, and helping to shape how we transform data into insights that help our customers fuel their missions. You'll help us scale our data platform, integrate emerging technologies, and collaborate across departments to ensure our data engineering efforts are aligned, efficient, and forward-looking. 

If you're energized by mentoring engineers, navigating technical complexity, and improving processes while keeping your hands in the data, we’d love to meet you. 

What you’ll do: 

  • Lead and grow a team of data engineers to support their development, help remove blockers, and foster a collaborative, inclusive team culture. 
  • Oversee architecture and implementation of our cloud-based data infrastructure (Snowflake, AWS, etc.) to support both operational data delivery and producing consumable data product. 
  • Partner cross-functionally with Data Science, Product, and Engineering teams to develop high-impact data products and pipelines. 
  • Drive data engineering best practices across the org—code quality, documentation, testing, observability, and reproducibility. 
  • Stay close to the work by reviewing code, guiding architectural decisions, and occasionally rolling up your sleeves to code when needed. 
  • Champion platform scalability by designing systems that handle large volumes of structured and unstructured data with resilience and speed. 
  • Understand business and operational problems that new tools (Dagster, dbt, etc.) and technology that would improve automation, performance, and data engineering workflows. 
  • Ensure data reliability and performance by monitoring data pipelines, addressing data quality issues, and driving continuous improvement initiatives. 
  • Mentor team members and foster technical growth across the group through thoughtful feedback, knowledge sharing, and career coaching. 
  • Collaborate on strategic planning with leadership—aligning data engineering goals with business objectives. 
  • Cross team collaboration to share ideas and best practices across teams  

What we’re looking for: 

  • 5+ years of experience in data or software engineering, including at least 1–2 years in a people management or team lead role. 
  • Strong proficiency in SQL and Python—you know when to optimize a query and when to refactor a script. 
  • Experience designing and supporting modern cloud data platforms (Snowflake, AWS, etc.). 
  • Deep understanding of ETL architecture, data modeling, and distributed systems. 
  • Hands-on experience with tools like Dagster, dbt, or similar orchestration/modeling frameworks. 
  • Familiarity with CI/CD pipelines, infrastructure-as-code, and modern DevOps practices. 
  • Excellent communication skills—able to bridge technical and non-technical audiences, and to advocate effectively for your team. 
  • Comfort working in fast-paced, agile environments where priorities may shift and growth is constant. 
  • Bonus points for experience in healthcare or finance domains, or exposure to machine learning workflows. 

Estimated Salary Range: $131,000 - $164,000
Actual salary will be determined based on factors including, but not limited to, skill set and level of experience. This salary range is a good faith estimate of base pay. Strata also provides discretionary variable pay programs based on role. In addition, Strata provides a comprehensive benefits package including retirement benefits, health and welfare benefits, paid time off, parental leave, life and accident insurance, and other voluntary and well-being benefits.

Find out more about Strata benefits here.  

How we work:
The preferred location for this role is in Chicago, IL or St. Louis, MO. We value our people spending time together and have campuses hosting in-person events located in both cities. We are truly a hybrid environment with all team members experiencing the flexibility to work from home. 

Thinking about applying?  
Research shows that women and underrepresented groups tend to apply to jobs only when they check every box on a job posting. If you’re currently reading this and hesitating to click “Apply” for that reason, we encourage you to go for it! A true passion and excitement for making an impact is just as important as work experience.
Should you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please reach out to [email protected]. 

Here @ Strata… 
Our culture is driven by our people solving problems together. We embrace learning, collaboration, and continuous career growth. Together, we lift our customers, our products, our company, and our community.  

We believe that each of our team member’s unique perspectives and experiences is what drives innovation and positive change. Our individual differences are what make us a more forward-thinking organization. We foster a culture of inclusion, equity and belonging, regardless of race, religion, disability, sex, sexual orientation, gender identity or national origin.  
Our Core Values:
While we celebrate what makes each member of our team unique, our core values are what connect us. They set clear expectations for how we approach our work and how each of us can positively influence the experience of our team and our customers.

  • We connect with positive intent.
  • We are helpful.
  • We own it.
  • We get better every day.
  • We are humble.

Top Skills

AWS
Dagster
Dbt
Python
Snowflake
SQL

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