Data Engineer

Job Description We are seeking a Data Integration Developer to modernize data-heavy Access databases and build scalable pipelines supporting reporting and analytics. Key Responsibilities Data Engineering

•  Convert Access queries into optimized SQL transformations
•  Design scalable data models and schemas
•  Build ETL/ELT pipelines Integration
•  Integrate SAP, Excel, SharePoint, APIs
•  Standardize and normalize data across sources Performance & Optimization
•  Optimize queries and data pipelines
•  Ensure efficient handling of large datasets Data Quality & Validation
•  Implement validation frameworks
•  Ensure consistency and reliability of data Pay rate range can vary heavily on relevant experience $60 - $65/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.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements

•  6-10 years data engineering experience
•  Strong SQL and data modeling
•  Experience building ETL pipelines
•  Multi-source integration experience
•  Databricks/Azure experience
•  Power BI exposure
•  SAP/API experience