Job Description The Data Analytics Engineer will build, maintain, and improve scalable data solutions supporting US Oncology analytics and operational reporting. This role will work hands-on with Databricks, Python, and SQL to develop data pipelines, strengthen data quality, reduce technical debt, and build consolidated datasets. The engineer will also support dimensional modeling, data integrations, lifecycle management, documentation, troubleshooting, and production support while partnering with technical and business stakeholders to deliver reliable and reusable data solutions. Skills and Requirements 2+ years of experience in data engineering, analytics engineering, or a related field2+ years of hands-on experience with Databricks or Snowflake, with Databricks preferredStrong Python and SQL experienceExperience building and maintaining data pipelinesExperience with data quality, validation, and large/complex datasetsUnderstanding of dimensional modeling, star schemas, and data warehousingFamiliarity with data governance, lineage, and production supportAzureAPIs/data integrationsDimensional modeling/star schemasPower BI, Tableau, or LookerJira or Asana 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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to HR@insightglobal.com.