Job description

The Data Engineer works with a multidisciplinary Agile team to build and maintain high-quality data pipelines that support KLAS’s research, operations, and public web application, and will be key in supporting current and future reporting and analytic solutions. What You’ll Do • Build and optimize secure, reusable data pipelines and ETL/ELT processes using Azure Data Factory and other tools. • Integrate data from varied sources and develop data models for analytics, operations, and reporting. • Create data quality checks, monitoring, and processes to keep data accurate, consistent, and reliable. • Prepare well-structured datasets for reporting, statistical analysis, and machine learning. • Work with Engineering, analysts, product managers, and business partners to translate needs into scalable data solutions. • Troubleshoot pipeline issues, support root cause analysis, and improve automation, performance, and cost efficiency. • Contribute to code reviews, testing, CI/CD deployments, and technical documentation. • Communicate progress and blockers, manage shifting priorities, and help teams use data products effectively. What You’ll Bring • Bachelor’s degree in Computer Science, Information Systems, Information Technology, or equivalent experience. • 3+ years of experience in data engineering or a related role. • Experience building and maintaining production ETL/ELT pipelines, data workflows, and data models. • Proficiency with SQL, preferably PostgreSQL, and Python. • Understanding of data modeling, database normalization, and data warehouse or data lake concepts. • Experience with cloud data platforms; Azure is preferred. • Strong communication and collaboration skills, with the ability to deliver quality work amid changing priorities. • Cloud experience a plus The salary range for this role starts at $105,000 per year. Final compensation will be determined according to the candidate’s relevant experience, skills, and qualifications. We offer exceptional benefits, including medical, dental, vision, life insurance, HSA with company match, 401K with company match, PTO, and more. All employees undergo a comprehensive internal education program to gain knowledge of the healthcare information technology industry and KLAS' methodology. Learn more about us at www.klasresearch.com . We encourage candidates to read this article before applying: klasresearch.com Why Join KLAS Research? At KLAS, we are committed to fostering a supportive and inclusive work environment where every team member can excel. Our culture emphasizes collaboration and continuous learning with a dedication to enhancing global healthcare. Here’s what you can expect: • Welcoming and Supportive Team: From day one, you'll be valued and supported in your professional development. • Investment in New Hires: We invest in our new hires through an internal education program designed to get you up to speed with KLAS and Health Information Technology (HIT). • Career Development: Regular one-on-one meetings, quarterly conversations, and mentoring opportunities to support your growth. • Hybrid Schedule: Our hybrid work policy allows team members to work both remotely and in the office. This flexible approach provides team members with a balance between in-person collaboration and remote work autonomy. Hybrid work is defined as three (3) full days expected in-office, Monday - Wednesday. • Enjoyable Work Environment: We strive to make work enjoyable with quarterly team activities, monthly office events such as chili cook-offs and costume contests, catered lunch once a month, snack room, and more. • Inclusive Culture: We are committed to creating an inclusive environment where everyone feels valued and respected. Our employee resource groups, sponsored by our executives, provide additional support and community for our team members. • Core Values: Our core values of integrity, passion, accountability, trust, and humility guide everything we do. We believe in upholding these values to create a positive and productive workplace. KLAS’ mission is to improve the world's healthcare by amplifying the voice of providers and payers. We can only fully live up to that mission when we prioritize inclusion, equity, and diversity. As a company and individuals, we commit to building an atmosphere where we can all thrive and belong—across race and ethnicity, gender identity and expression, sexuality, age, ability, religion, and experience. EOE.

Requirements

Must-haves

What You’ll Do
Build and optimize secure, reusable data pipelines and ETL/ELT processes using Azure Data Factory and other tools.
Integrate data from varied sources and develop data models for analytics, operations, and reporting.
Create data quality checks, monitoring, and processes to keep data accurate, consistent, and reliable.
Prepare well-structured datasets for reporting, statistical analysis, and machine learning.
Work with Engineering, analysts, product managers, and business partners to translate needs into scalable data solutions.
Troubleshoot pipeline issues, support root cause analysis, and improve automation, performance, and cost efficiency.
Contribute to code reviews, testing, CI/CD deployments, and technical documentation.
Communicate progress and blockers, manage shifting priorities, and help teams use data products effectively.
What You’ll Bring
Bachelor’s degree in Computer Science, Information Systems, Information Technology, or equivalent experience.
3+ years of experience in data engineering or a related role.
Experience building and maintaining production ETL/ELT pipelines, data workflows, and data models.
Proficiency with SQL, preferably PostgreSQL, and Python.
Understanding of data modeling, database normalization, and data warehouse or data lake concepts.
Strong communication and collaboration skills, with the ability to deliver quality work amid changing priorities.
All employees undergo a comprehensive internal education program to gain knowledge of the healthcare information technology industry and KLAS' methodology. Learn more about us at www.klasresearch.com .
We encourage candidates to read this article before applying: https://klasresearch.com/article/hiring-character-first/903
Why Join KLAS Research?
Welcoming and Supportive Team: From day one, you'll be valued and supported in your professional development.
Investment in New Hires: We invest in our new hires through an internal education program designed to get you up to speed with KLAS and Health Information Technology (HIT).
Career Development: Regular one-on-one meetings, quarterly conversations, and mentoring opportunities to support your growth.

Nice-to-haves

Experience with cloud data platforms; Azure is preferred.
Cloud experience a plus

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agileazuremachine learningci/cdsqlpython

Platform: adp-workforce-now
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Professional Development