Bachelor's degree in data management, computer science, or related field, or equivalent experience
5+ years of data engineering experience with a focus on solution architecture
Expert-level proficiency in SQL and Python
Advanced knowledge of medallion architecture and its implementation
Experience leading projects through ambiguity and incomplete documentation
Familiarity with AI or LLM tools for automation and development
Demonstrated technical leadership in mentoring and project management
Experience with version control and CI/CD tools
Knowledge of healthcare data and HIPAA compliance is a plus
Responsibilities
Lead the design and implementation of data pipelines and ETL processes
Collaborate with source system owners and stakeholders to clarify data requirements
Architect data flows using SQL and cloud technologies, applying DevOps practices
Establish data quality control and validation standards
Navigate ambiguity and lead efforts on complex problems
Develop data solutions that comply with HIPAA and data security requirements
Drive process improvement initiatives for automation and scalability
Mentor junior data engineers and guide their technical growth
Benefits
Competitive medical, dental, and vision insurance
401k plan with company match
Paid time off and holidays
Backup child/adult care services
Recognition as a Great Place to Work for multiple years
Full Job Description
Senior Data Engineer
Looking to elevate your career? Join us!
Work Location: Remote with onsite as needed
Work Hours: Full Time
Senior Data Engineer will play a lead role in architecting and building the data infrastructure that powers the organization's reporting, analytics, and decision-making, with particular depth in data migrations and healthcare data domains. This individual will be responsible for designing data solutions that follow medallion architecture best practices, meet business and compliance needs, and adhere to high standards of engineering, scalability, and knowledge transfer. This high-impact role requires a self-directed, technically deep individual who can move fluidly between complex projects and decisions, with a bias toward building durable solutions rather than one-off fixes while maintaining a high output velocity.
Department/Center Highlights:
Ability to work autonomously within a large medical organization that enables the person to build and cultivate strong relationships.
Opportunity to work with leading technology.
Chance to work for a large, national organization with room to grow and advance in their role.
Here is what you will need:
Bachelor's degree in data management, computer science, computer engineering, software engineering, or related field, or equivalent work experience
At least 5 years of experience in data engineering, with demonstrated experience architecting solutions, not just building them
Expert-level SQL and Python, with a track record of leading technical direction on complex projects
Advanced knowledge of medallion architecture (bronze/silver/gold layers), with the judgment to set standards for where each stage of a transformation belongs
You've led a project where the plan changed midstream, incomplete documentation forced a judgment call, or a source system didn't match what anyone expected, and your call is the one the team followed
Experience using AI or LLM tools to learn new systems faster, automate repetitive work, accelerate development, and QA outputs before they ship
Demonstrated technical leadership: mentoring, setting standards, or leading projects end to end
Experience with version control and CI/CD tools
Experience with healthcare data and HIPAA requirements is a plus
A Day in the Life of a Senior Data Engineer:
Provide services and support for the following areas:
Lead the design and implementation of data pipelines and ETL processes, setting the technical approach for projects from source to solution, including data migrations and lakehouse loads for reporting and analytics
Work directly with source system owners and business stakeholders to understand data requirements, translating ambiguous or incomplete information into reliable technical solutions, and reviewing junior engineers' approaches
Architect data flows across a variety of source systems using SQL and cloud data technologies, applying DevOps practices to deploy pipelines reliably at scale
Establish data quality control and validation standards, working with business users for verification and sign-off on complex or high-risk changes
Navigate ambiguity and incomplete information independently, leading efforts on the most complex problems and setting the standard for how the team handles risk when the right path isn't clear
Lead the development of data solutions that meet HIPAA and data security requirements, advising on compliance questions across the team
Lead process improvement initiatives: automating manual work, improving data delivery, or redesigning pipelines for greater scalability
Use AI and LLM tools thoughtfully to accelerate development, and help establish team standards for where they speed up the work versus where hands-on expertise is still required
Mentor junior data engineers and lead their technical development
Why Solis Mammography?
A Great Place to Work, earning this prestigious award for multiple years running.
Offer competitive benefits such as Medical, Dental, Vision, 401k, PTO, Paid Holidays, Backup Child/Adult Care as well as other unique benefits.
About Solis Mammography
Solis Mammography is a healthcare company that specializes in breast cancer screening and diagnosis. The company was founded in 1986 and has since grown to become one of the largest providers of mammography and imaging services in the United States. Solis Mammography is committed to providing patients with the highest quality care and the latest technology in breast imaging. The company has a team of highly trained and experienced radiologists and technologists who work together to provide accurate and timely results. Solis Mammography is dedicated to improving the lives of women through early detection and diagnosis of breast cancer.
