Data Engineering Manager

The Data Engineer Manager leads a team of data engineers responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support clinical, operational, and financial analytics across the healthcare system. This role collaborates closely with data scientists, software engineers, business intelligence analysts, and clinical informatics teams to ensure data is accessible, accurate, and secure. Reporting to the Director of Data Systems and Analytics, the position plays a critical role in enabling data-driven decision-making and innovation in a complex healthcare environment. This role will require about 20% of time to be focused on the technical involvement of the engineering team.
Responsibilities
• Lead the design and operation of modern data architectures, pipelines, and platforms across cloud and on‑prem environments.
• Manage and develop a high‑performing data engineering team, ensuring delivery excellence and adherence to engineering best practices.
• Partner with clinical, operational, financial, and analytics stakeholders to translate business needs into reliable, well‑structured data solutions.
• Ensure compliance with HIPAA, HITECH, and internal data governance, security, and quality standards.
• Drive data platform modernization, evaluate emerging technologies, and align initiatives to long‑term organizational strategy.
• Manage budgets, resources, vendors, and tooling to optimize performance, scalability, and cost efficiency.
• Proven ability to lead complex data initiatives and teams in highly regulated environments.
• Strong technical expertise in modern data engineering stacks, cloud platforms, and orchestration tools.
• Strategic mindset with the ability to align technical decisions to business outcomes.
• Excellent collaboration, communication, and stakeholder management skills.
• Demonstrated accountability for execution, quality, and results.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

1. 3 to 5 years of data engineering managerial experience and managing a team of similar size.
2. Previous experience within the healthcare industry in data engineering which will include knowledge and an understanding of HIPPA, HL7, FHIR and ICD-11.
3. Familiarity with Apache Airflow, Spark, Microsoft Stack.
4. Experience in managing a team whose responsibilities primarily included handling data sourcing, Epic integrations, third-party datasets, and provisioning environments for researchers and building and running platforms.
5. 7+ years of previous experience as a data engineer.
6. Located within the state of Texas and able to commute to Austin, TX on a quarterly and as-needed basis.

1. Microsoft Fabric experience

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.