The Staff Pad is partnering with a leading healthcare organization in Helena, MT, to recruit a Data Engineer II to design, develop, and maintain secure, reliable data pipelines, integrations, data models, and enterprise data solutions that support analytics, reporting, and informed decision-making
This role collaborates with analytics, IT, vendors, and business stakeholders to transform data from Epic and other systems into trusted, governed, and reusable solutions.
The ideal candidate has strong SQL and data engineering skills, experience with Snowflake or comparable platforms, and knowledge of healthcare data, Epic systems, DataOps, and data governance.
What You'll Do
Key Responsibilities
Design, develop, and maintain secure, reliable data pipelines, integrations, data models, and enterprise data solutions
Transform data from Epic and other systems into trusted, governed, and reusable solutions for analytics, reporting, and decision-making
Develop and support data extracts, transformations, validation processes, reporting datasets, analytical data assets, and production data pipelines
Apply data modeling, data quality, integration, orchestration, monitoring, and production support practices
Collaborate with analytics, IT, vendors, and business stakeholders to deliver effective data solutions
Document data mappings, business rules, process steps, runbooks, and support procedures
Maintain data accuracy, security, privacy, and governance standards
What We're Looking For
Education and Experience
- Bachelor's degree preferred in Computer Science, Computer Information Systems, Data Analytics, Health Informatics, Engineering, Mathematics, Statistics, Business Analytics, or a related field
- Candidates without a bachelor's degree may qualify with an associate degree or relevant advanced certifications in a related field and 6+ years of relevant experience
- 4+ years of relevant experience in data engineering, data analytics, database development, business intelligence, or related IT work, or an equivalent combination of education and experience
- Experience independently designing and supporting data extracts, transformations, data validation, reporting datasets, analytical data assets, and production data pipelines
- A master's degree in a related field is preferred and may substitute for a portion of the required experience
- Strong working knowledge of SQL and relational database concepts
- Working knowledge of data modeling, data quality, data integration, orchestration, monitoring, and production support
Equivalent combinations of education, certifications, and directly relevant experience may be considered.
Preferred
- Healthcare provider, payer, health system, or healthcare analytics experience
- Experience with Epic, Clarity, Caboodle, Cogito, or comparable EHR systems
- Experience with Snowflake or comparable cloud data platforms, BI tools, and ETL/ELT or orchestration tools
- Experience with Git, Azure DevOps, APIs, SFTP, or file-based data exchange
- Experience with Python, dbt, AWS Glue, Azure Data Factory, or similar data engineering tools
- Familiarity with HIPAA, HITECH, healthcare data privacy, information security practices, and responsible use of AI-enabled productivity tools
Technical Skills and Knowledge
- Strong SQL and relational database knowledge
- Ability to work independently on data engineering and production support tasks
- Strong analytical, written, verbal, customer service, and stakeholder engagement skills
- Strong problem solving skills, attention to accuracy and security
- Ability to clearly document technical processes, data mappings, business rules, and support procedures
Certifications
- Preferred certifications include Snowflake, Epic Cogito, Clarity, or Caboodle; Microsoft Azure; AWS; SQL; data engineering; data analytics; cloud data platforms; information security; or healthcare analytics
What You Can Expect
- The opportunity to develop and maintain enterprise data solutions that support healthcare analytics and informed decision-making
- Collaboration with cross-functional teams, IT professionals, vendors, and business stakeholders
- The opportunity to apply data engineering expertise to complex healthcare data challenges and support effective healthcare operations
Compensation and Benefits
- Competitive compensation
- Medical, dental, and vision insurance
- Long- and short-term disability coverage, HSA and FSA options
- Generous PTO, vacation days, holidays, and sick leave
- Tuition assistance and reimbursement
- 403(b) retirement plan with a 3% employer match
- Cafeteria, health club membership, and affordable child care
- Success Share payout
Compensation is reviewed annually to remain competitive with industry standards.
Join a leading healthcare organization as a Data Engineer II and help transform complex healthcare data into secure, reliable, and actionable insights. This is an opportunity to apply your data engineering expertise, collaborate with cross-functional teams, and build data solutions that support better reporting, informed decision-making, and improved healthcare operations
PandoLogic. Keywords: Data Engineer, Location: Helena, MT - 59604
