Data Engineer II
Insight Global
Job Description
Insight Global is seeking a Data Engineer for a top healthcare technology client. This candidate will be responsible for supporting and enhancing critical healthcare data integrations, including HL7 and flat file feeds, while also contributing to analytics, reporting, and data warehousing initiatives. The ideal candidate is detail‑oriented, technically curious, and enjoys collaborating with both technical teams and business stakeholders to ensure accurate, reliable, and scalable data solutions.
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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
Skills and Requirements
• 3–5 years of experience in data engineering or related roles
• 2+ years of hands‑on coding experience with Microsoft SQL
• Experience supporting and maintaining data pipelines and integrations
• Experience working with HL7 message feeds and/or flat file data feeds
• Experience troubleshooting and maintaining inbound and outbound data interfaces
• Understanding of engineering fundamentals (testing, code reviews, DevOps, telemetry)
• Bachelor’s degree in Computer Science or equivalent professional experience • Experience with big data technologies such as Databricks, Apache Spark, Python, or Azure
• Experience with Azure services (Data Factory, Dataflows, Azure Functions, Service Bus)
• Experience with polyglot data storage architectures
• Experience with BI tools, preferably Power BI
• Experience supporting analytics, reporting, or data visualization initiatives
• Healthcare data experience
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