Job Specifications
About the job
Department: Data
Compensation: $300,000 - $350,000 / year
Position: Senior Engineering Manager
Description
We are seeking an experienced and people-focused Senior Manager of Data Engineering to lead the design, delivery, and evolution of our enterprise data platform. In this role, you will guide a talented team of data engineers while partnering closely with analytics, product, and business stakeholders to build scalable, high-quality data solutions that power critical healthcare insights.
This is a hands-on leadership role for someone who thrives in a fast-paced environment, enjoys mentoring others, and is passionate about building reliable, compliant data systems within the healthcare domain.
What You'll Do
Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence.
Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices.
Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets.
Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues.
Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements.
Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives.
This will give you the remit to build a team from day one.
Qualifications
Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred.
5+ years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity.
2+ years of experience with medical claims in healthcare and/or managed care.
Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure).
Advanced proficiency with SQL and scripting/programming languages such as Python or Spark.
Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts.
Strong and effective skills in hiring.
Experience working with Databricks or similar distributed computing platforms preferred.
Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences.
You're a great fit for this role if you:
Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges.
Are passionate about mentoring and growing the next generation of data engineering talent.
Have a bias for action and a commitment to delivering high-quality solutions with measurable impact.
Bring a collaborative, team-first mindset to everything you do.
Environmental Job Requirements and Working Conditions
This position is remotely based in the U.S.
The total compensation target pay range for this role is: $300,000 - $350,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
About the Company
Recruitment is hard. And it's not your job. Otherwise you'd not be on this page.
Enzo Tech is an on-demand service bringing IT professionals and companies together across Europe for everyone to reap the rewards.
You don't want to hear the usual recruitment talk. Enzo Tech is direct, transparent and proactive. Our solution removes the hassle and focuses on results.
In our first year trading the business turned over EUR2.500.000 (2021), our second year we experienced fantastic growth due to the close collaboration with cli...
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