Senior Data Engineer

Job Description

Insight Global’s 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 Dev Ops, 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.

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• Experience:
  
  8+ years in data engineering.
• Technical Expertise:
  • Azure (cloud platform)
  • SQL (advanced ETL and query optimization)
  • dbt (data transformation pipelines)
  • Python (data transformation and automation scripts)
  • Azure Dev Ops / Git Hub (CI/CD pipelines, source control)
• Data warehousing and ETL best practices.

• Develop and maintain Azure-based data pipelines for Finance and Operations.
• Build and optimize ETL workflows using SQL and dbt.
• Write Python scripts for data transformation and automation.
• Deploy infrastructure as code and manage cloud data solutions.
• Collaborate with project managers and contractors across global teams.
• Ensure data quality and compliance with best practices.
• Troubleshoot and resolve data-related issues promptly.
• Document technical solutions and maintain test scripts.

• Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform)
• Familiarity with infrastructure as code
• Ability to participate in architectural decisions
• Strong problem-solving and continuous improvement mindset