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Insight Global is seeking a Data Engineer, AI-Native for a leading legal technology and healthcare services organization. This role focuses on building scalable data solutions to power business operations and customer-facing platforms.
You will own ETL/ELT pipelines, data warehouse design on Microsoft Fabric, Azure SQL, and SQL Server, and collaborate with cross-functional teams in an AGILE environment, leveraging AI-assisted development tools like GitHub Copilot and Claude to accelerate
Insight Global is seeking a Data Engineer, AI-Native for a leading legal technology and healthcare services organization. This candidate will join a growing data engineering team focused on building scalable data solutions that power innovative business operations and customer-facing platforms. The ideal candidate will have strong experience developing ETL/ELT pipelines, working with SQL-based data platforms, and supporting modern data warehouse environments. This role offers the opportunity to work in a highly innovative AI-native development environment, leveraging tools such as GitHub Copilot and Claude while partnering closely with cross-functional teams to deliver impactful data solutions. The position is ideal for a hands-on data engineer who enjoys owning projects end-to-end and contributing to the future of AI-assisted software development.
Gather, document, and validate business and technical requirements using AI-assisted workflowsDesign, build, and maintain ETL/ELT pipelines and data warehouse solutionsDevelop and support tables, views, stored procedures, and transformations across Microsoft Fabric, Azure SQL, and SQL Server environmentsOwn data engineering projects from design through deployment and production supportCreate and maintain data quality checks, automated testing, and validation processesParticipate in code reviews and technical planning sessionsCollaborate with cross-functional stakeholders and engineering teams in Agile ceremoniesUtilize AI tools such as GitHub Copilot, Claude, and Claude Code to accelerate development while validating all generated outputWork within an AI-native engineering model alongside AI agents throughout the SDLC
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent professional experience)3-5 years of professional data engineering experienceStrong SQL and relational database experience (SQL Server/Azure SQL preferred)Experience with ETL/ELT pipeline development and maintenanceExperience with data warehouse design patterns and data modeling fundamentalsExperience building and maintaining data warehouse objects including tables, views, and stored proceduresAbility to work within AI-assisted development environments utilizing GitHub Copilot and ClaudeExperience using Git-based source control and Jira workflowExperience with Microsoft FabricExperience with Azure SQL and SQL Server environmentsExperience in Agile/Scrum environmentsExperience working with distributed onshore/offshore teamsStrong understanding of automated testing and data quality validation 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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to HR@insightglobal.com.