Senior Data Engineer

Job Description Insight Globalu2019s client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in either the Jacksonville, D.C., or New Jersey office, working closely with global teams to ensure data quality, automation, and continuous improvement. Compensation ranges from $70-74 an hour based on experience. 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 learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements st Haves: u2003u2022 Experience: 8+ years in data engineering. u2003u2022 Technical Expertise: u2003u2003u2003u00a7 Azure (cloud platform) u2003u2003u2003u00a7 SQL (advanced ETL and query optimization) u2003u2003u2003u00a7 dbt (data transformation pipelines) u2003u2003u2003u00a7 Python (data transformation and automation scripts) u2003u2003u2003u00a7 Azure DevOps / GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Day to Day: u2003u2022 Develop and maintain Azure-based data pipelines for Finance and Operations. u2003u2022 Build and optimize ETL workflows using SQL and dbt. u2003u2022 Write Python scripts for data transformation and automation. u2003u2022 Deploy infrastructure as code and manage cloud data solutions. u2003u2022 Collaborate with project managers and contractors across global teams. u2003u2022 Ensure data quality and compliance with best practices. u2003u2022 Troubleshoot and resolve data-related issues promptly. Document technical solutions and maintain test scripts. Plusses: u2003u2022 Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) u2003u2022 Familiarity with infrastructure as code u2003u2022 Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset

Created: 2025-12-05