Job Description
Insight Global is seeking a Senior Data Engineer for a top healthcare technology client. This individual will play a key role in executing the data engineering strategy by building scalable, reliable data pipelines and reusable software components. The ideal candidate is a hands‑on senior engineer who enjoys influencing technical direction through architecture discussions, code reviews, and modern engineering practices. This role offers the opportunity to work with cutting‑edge Azure and big data technologies while directly supporting critical healthcare data initiatives.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• 5–7 years of experience in data or software engineering
• 5+ years of hands‑on coding experience with Microsoft SQL
• 3+ years working with big data technologies (Databricks, Apache Spark, Python, Azure)
• Strong experience with Azure services (Data Factory, Dataflows, Azure Functions, Service Bus)
• Experience building and maintaining scalable data pipelines
• Experience developing and supporting API integrations
• Strong understanding of engineering fundamentals (testing automation, code reviews, DevOps, telemetry)
• Experience working with Delta tables, Parquet files, and ADLS
• Bachelor’s degree or equivalent professional experience
Nice to Have Skills & Experience
• Experience working with healthcare datasets
• Familiarity with HL7 communication protocols
• Experience with event‑driven and distributed architectures
• Experience with polyglot data storage (relational, columnar, key‑value, graph)
• Strong background in architecture, design patterns, and best practices
• Ability to communicate effectively with both technical and non‑technical stakeholders
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.