Job Description
Our customer is seeking a Data Engineer to build and operationalize campaign data pipelines and integrations, enabling automation, standardization, and reliable data quality across campaign/marketing systems. This role will work closely with business and architecture stakeholders and implement the solution roadmap.
Responsibilities
• Build and maintain data pipelines supporting campaign and marketing enablement use cases
• Develop automation for ingestion, transformation, and publishing of datasets
• Implement standardized data quality controls and monitoring within pipelines
• Use version control and engineering best practices to support repeatable deployments
• Work across databases and cloud data environments to optimize performance and reliability
• Support integrations/connectors to campaign/marketing tools as needed
What Success Looks Like
• Production-ready pipelines with automated quality checks and documentation
• Reduced manual processing and improved standardization across workflows
• Reliable integrations to campaign/marketing tools where applicable
• Clear operational runbooks + version-controlled codebase
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 HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• 5–10+ years of data engineering experience
• Strong hands-on expertise in:
o SQL
o Python
o SAS
• Experience with:
o Cloud-based data platforms (vendor-agnostic)
o Databases / data warehousing concepts
o Building automated pipelines (scheduling/orchestration exposure a plus)
o Data quality frameworks (testing, validation, reconciliation)
o Version control (Git) and basic CI/CD practices
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.