Data Engineer

This role will focus on designing, developing, and maintaining scalable data solutions that support critical business operations and analytics. The ideal candidate will have strong hands-on experience building ETL pipelines, working within Databricks environments, integrating SAP data, and ensuring data quality and integrity across the organization., * Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise reporting and analytics needs

• Build and optimize data models to ensure accuracy, consistency, and performance
• Work closely with business stakeholders and technical teams to gather requirements and translate them into data solutions
• Integrate and transform data from SAP and other enterprise systems
• Develop and maintain solutions within Databricks to support large-scale data processing
• Ensure data integrity, governance, and overall quality across datasets
• Write and optimize complex SQL queries for data extraction, transformation, and analysis
• Utilize Python to automate data processes and support data engineering initiatives
• Troubleshoot and resolve data-related issues while identifying opportunities for performance improvements
• Collaborate with cross-functional teams to support new projects and ongoing enhancements

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/.

• 5+ years of experience for Mid-Level candidates; 7+ years for Senior candidates
• Hands-on experience with Databricks in a data engineering capacity
• Strong experience designing and developing ETL/ELT pipelines
• Experience working with SAP data and integrations
• Strong understanding of data modeling concepts and best practices
• Experience ensuring data quality, governance, and data integrity
• Advanced SQL skills with the ability to optimize performance and troubleshoot complex queries
• Proficiency in Python for data engineering and automation
• Experience working in cloud-based data environments
• Strong problem-solving and communication skills - Experience supporting enterprise-scale data platforms
• Exposure to data warehousing and modern data architecture principles
• Experience working in Agile environments
• Background in the utilities, energy, or large enterprise environments