Data Engineer/Lead Analyst - Forsyth Health- Remote

How you'll make a difference:

As a Data Engineer, you’ll be a key contributor to the development and optimization of data products that drive insights and innovation across the enterprise. You’ll work hands-on with modern data technologies to build scalable pipelines, support analytics, and enable data-driven decision-making. This role is ideal for someone with foundational experience who’s ready to take ownership of technical solutions and grow into a leadership path within a dynamic healthcare environment.

Responsibilities:

• Design, build, and maintain robust data pipelines using PySpark, SQL, and Python within the Databricks ecosystem.

• Collaborate with cross-functional teams to understand data requirements and translate them into scalable engineering solutions.

• Own the development and deployment of ETL (extract, transform and load) processes that support enterprise data products and reporting needs.

• Contribute to the design and implementation of data models and architecture in Snowflake and other cloud platforms.

• Participate in code reviews, testing, and documentation to ensure high-quality, maintainable solutions.

• Monitor and optimize pipeline performance, ensuring reliability and scalability across large datasets.

• Support data governance and lineage efforts by implementing best practices in version control (Git) and metadata management.

• Research and propose new tools, frameworks, or approaches to improve data engineering workflows.

• Take initiative in identifying opportunities for automation, efficiency, and innovation within the data engineering space.

Experience:

• Solid understanding of data engineering principles and cloud-based data platforms.

• Hands-on experience with Databricks, PySpark, SQL in a production environment.

• Strong problem-solving skills and ability to work independently on technical challenges.

• Experience with Git for version control and collaborative development.

• Ability to communicate effectively with technical and non-technical stakeholders.

• Interest in healthcare data and a desire to make a meaningful impact through data-driven solutions.

Qualifications:

• Bachelor of Science in Computer Science, Information Technology, Data Science, or a related field, preferred

• 2 plus years of experience in data engineering or a related technical role.

• Demonstrated understanding of data architecture and modeling concepts.

• Experience in healthcare, biotech, or pharmaceutical industries is a plus.

• Must have access to a reliable internet connection (minimum 10Mbps download / 5Mbps upload) if working remotely.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 80,400 - 134,000 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That’s why you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group.

About Evernorth Health Services

Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.