Data Engineer

Serenity Mental Health Centers • Lehi, UT

5d • Onsite

About The Position

At Serenity Mental Health Centers, we are on a mission to revolutionize mental wellness care by leveraging data and technology. Join us as a Data Engineer to design, build, and maintain the robust data infrastructure that fuels our analytics and drives meaningful patient outcomes. As a Data Engineer, you will be responsible for developing efficient, scalable pipelines, ensuring high data quality, and enabling seamless data access for analytics and clinical teams. Your expertise will directly impact how we understand, treat, and support our patients. We seek a talented engineer with strong experience in data engineering best practices, SQL Server, and ETL workflows. You'll collaborate closely with other engineers, analysts, and clinical teams to bring data-driven initiatives to life in a fast-growing healthcare environment.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field; Master’s preferred
• 4+ years experience in data engineering or related roles
• Proficiency with SQL and Python for data manipulation and workflow automation
• Strong knowledge of ETL tools and data pipeline frameworks (e.g., SSIS, Apache Airflow, dbt)
• Understanding of data governance, data quality, and security best practices
• Excellent communication skills and ability to collaborate cross-functionally
• Passion for mental health and making an impact through data

Nice To Haves

• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus

Responsibilities

• Design, implement, and maintain scalable data pipelines and ETL processes
• Build and optimize data architectures to enhance analytics performance and reliability
• Integrate data from diverse sources, including electronic health records and medical devices
• Ensure data quality, consistency, and governance across platforms
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Support deployment and monitoring of data infrastructure in cloud environments
• Contribute to continuous improvement of data engineering standards and documentation

Benefits

• Competitive salary
• Excellent Benefits – 90% coverage for medical, dental, and vision
• 401(k) – Investing in your future with us
• Paid Time Off – 10 PTO days (15 after your first year) + 10 paid holidays to rest and recharge

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level