Job Description

Job Description Insight Global is seeking a Senior Data Engineer to design, build, and optimize cloud-based data solutions that power enterprise analytics and reporting. This role focuses on developing scalable data pipelines, managing data warehouses, and enabling self-service business intelligence using modern cloud technologies. The successful candidate will have hands-on experience with Azure, Snowflake, and ETL tools, and will play a key role in onboarding data sources, building pipelines, and ensuring data quality. This is an exciting opportunity to work on advanced cloud data engineering projects and deliver impactful solutions for business teams. Compensation: Up to $125,000 annually with full benefits, PTO, holiday PTO, and 401k match. 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 [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements -Hands-on experience with Azure (must-have); AWS exposure is a plus. -Strong experience with Snowflake and Azure SQL Data Warehouse. -Expertise in Azure Data Factory (ADF); familiarity with Informatica or SSIS. -Proficiency in Python (must-have) and SQL for scripting and advanced queries. -Solid understanding of data warehouse and data mart design for reporting. -Experience with Power BI for dashboards and analytics. -Knowledge of Azure DevOps for automated deployments and version control. -Ability to work with JSON/XML and API-based data sources. -Kafka (nice-to-have), Spark SQL or USQL (bonus). - Familiarity with JIRA, Confluence, and GitHub for project collaboration.

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