Senior Data Engineer

Insight Global is looking for a Senior Data Engineer to support one of our financial services clients in Nashville, TN. This individual will join a growing data team focused on building and optimizing data pipelines, transforming data for analytics, and ensuring high-quality, reliable data is available for business intelligence initiatives. This is a hands-on role ideal for someone who enjoys working with modern data tools and collaborating across technical and business teams.
Responsibilities:
• Design, build, and maintain scalable data pipelines to ingest data from multiple sources
• Develop and optimize data transformation models using dbt
• Ensure data quality, accuracy, and reliability through testing and monitoring
• Implement best practices for data modeling and warehouse performance
• Partner with analysts, engineers, and business stakeholders to understand data needs
Contribute to internal processes, documentation, and overall data engineering best practices

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 View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:


Required Skills & Experience
• 4+ years of experience in data engineering or data warehousing
• Strong experience with Snowflake, dbt, Fivetran, Python, and SQL
• Experience building and maintaining data pipelines and ETL/ELT processes
• Solid understanding of data modeling best practices in cloud data warehouse environments
• Ability to troubleshoot performance issues and optimize queries
• AWS or Azure
Strong communication skills and ability to work cross-functionally


Nice to Have Skills & Experience
• Experience with orchestration tools (e.g., Airflow)
• Exposure to CI/CD practices and infrastructure-as-code
• Familiarity with data governance frameworks
Experience with big data tools like Spark


Benefit packages for this role will start on the 1st 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.