We are seeking a skilled Data Engineer to join our retail team. As a Data Engineer, you will play a crucial role in managing and optimizing our customer data pipelines. You'll work closely with data scientists, analysts, and business stakeholders to ensure efficient data processing, integration, and transformation. If you're passionate about leveraging cutting-edge technologies and have experience with the Azure data ecosystem, we'd love to hear from you!
Data Pipeline Development:
- Implement end-to-end data pipelines for customer data ingestion, transformation, and loading using Azure services (e.g., Azure Data Factory, Azure Databricks).
Data Modeling and Integration:
- Design and maintain data models that support efficient querying and reporting.
Scripting and ETL:
- Write efficient Python and PySpark scripts for data extraction, transformation, and loading.
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/ .
3+ years of experience as a Data Engineer, with a focus on data processing and ETL.
Hands-on experience with the Azure data stack (Azure Data Factory, Azure Databricks, etc.).
Proficiency in Python and PySpark.
Familiarity with cloud-based data solutions (e.g., Azure SQL Database, Azure Data Lake, Azure Blob Storage
Benefit packages for this role will start on the 31st 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.