Data Engineer

Job Description We are seeking a highly skilled Data Engineer with deep expertise in SQL performance tuning and Oracle database optimization to join our Reporting Instance (RI) team on a contract basis. This role will play a critical part in the Self-Managed Hosting (SMH) initiative, working closely with RI and Infrastructure teams to set up new environments, validate end-to-end data flows, and ensure high-performing, scalable data solutions. This is an ideal opportunity for a hands‑on engineer who thrives in solving complex data performance challenges at scale. 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. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements Strong expertise in Oracle SQL and PL/SQL, with a focus on performance tuning Proven experience in query optimization, including execution plan analysis and indexing strategies Hands‑on experience designing and tuning materialized views (refresh strategies, performance impact, dependencies) Experience working with large‑scale datasets and high‑volume data environments Solid understanding of ETL pipelines and data validation techniques Strong troubleshooting and problem-solving skills in complex data environments #J-18808-Ljbffr