Data Engineer

at Insight Global in Scottsdale, Arizona, United States

Job Description

Job Description

Insight Global is seeking a Data Engineer in the Scottsdale, AZ area to help scale data operations. This role is ideal for someone who thrives in a collaborative environment and is passionate about building robust data pipelines using modern cloud technologies.

You will play a key role in developing ETL processes using Python, integrating with Azure Data Factory, and leveraging Databricks for scalable data solutions. The team currently lacks deep expertise in Python and Databricks, so your contributions will be instrumental in filling this gap and elevating the team’s technical capabilities.

Pay rate range $45-55/hr

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/.

Skills and Requirements

- 5+ years of experience in data engineering roles

- Strong proficiency in Python, especially for ETL development

- Hands-on experience with Azure Data Factory and Databricks

- Solid understanding of cloud-based data architecture and workflows – Experience in the insurance or financial services industry

- Familiarity with Excess and Surplus lines data workflows

- Exposure to other Azure services such as Azure Synapse or Azure SQL