Sr. Data Engineer

Job Description A prominent financial services and insurance organization seeks a Sr. Data Engineer to build and optimize high-volume data ingestion pipelines and backend data processing systems. This individual will sit within the Identity and Access Management (IAM) group and play a key part in integrating, transforming, and managing data across enterprise platforms. Responsibilities include:

• Design, build, and maintain data ingestion pipelines to bring high-volume data into enterprise database systems
• Develop backend processing logic to support data validation, transformation, and integration
• Integrate data across internal and external systems (e.g., CyberArk, SailPoint)
• Optimize database performance through query tuning, indexing strategies, and efficient data modeling
• -Manage and enhance complex, field-driven update logic within large datasets

Collaborate with architects, engineers, and business stakeholders to deliver scalable data solutions

• Participate in CI/CD workflows, code reviews, and version control (GitHub)
• Ensure data quality, scalability, and reliability across ingestion and processing layers

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: Skills and Requirements

• 5+ years of experience in software engineering or data engineering
• Strong backend development experience with Java
• Hands-on experience building and maintaining data pipelines / ingestion frameworks
• Strong experience with database development, including performance optimization, query tuning, indexing strategies

and data modeling

• Experience handling complex data processing logic at scale
• Experience with CI/CD pipelines and GitHub
• Strong communication skills with ability to collaborate and influence across technical and business teams
• Experience with SailPoint or CyberArk Insight Global