Data Engineer - Springbatch

Data Engineer

One of our large financial customers is seeking (3) Data Engineers. The Data Engineer will support our client's operational data platform by enhancing and maintaining data pipelines that power operational reporting and analytics. This includes modifying existing Java/Spring Batch pipelines, creating new ones as needed, optimizing data flows, and deploying to AWS environments. The role is hands-on with development, testing, and debugging, while working cross-functionally in an Agile, Kanban-style team. This is a contract, with the possibility of converting to a full time employee. This is a hybrid role, being on site every other week in Rhode Island or Texas. Compensation is based off many factors including experience, education, and more and this position offers a range of $55 - $75/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.

Skills and Requirements

• 6–10 years of experience in backend data engineering
• Proficiency in Java and Spring Batch
• Strong SQL skills (Oracle and/or Snowflake)
• Experience with AWS (Batch, S3, IAM)
• Familiarity with Control-M or similar job schedulers
• Agile development experience
• Python scripting knowledge
• Experience with containerization (Docker)
• DevOps tooling (Jenkins, Terraform, CloudFormation)
• Financial services industry background
• SQL performance tuning expertise