Job Description
This team sits within our customer's broader Marketing organization, within the Brand Social scope, and is responsible for developing the data, analytics, and AI capabilities that help marketers deliver data driven decisions.
More granularly, this individual will serve as a key contributor to the Social Data Warehouse team, helping build and maintain the underlying marketing data infrastructure that powers reporting, analytics, and emerging AI applications. They will work directly with internal engineering teams to onboard new data sources, build and optimize data pipelines, and ensure data is reliably surfaced to front-end applications and business tools. A significant portion of the role will involve integrating APIs and third-party vendor data, troubleshooting data flows, and ensuring scalable, high-quality access to information across the organization. The ideal candidate will be comfortable operating in a cloud-based environment, partnering with both engineers and business stakeholders, and helping establish the technical foundation for future analytics and AI initiatives.
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+ years of Data Engineering experience.
Advanced SQL skills.
Hands-on experience with Google Cloud Platform (GCP).
Experience building, maintaining, and optimizing data pipelines.
Experience working with APIs and integrating third-party data sources.
Strong understanding of data warehousing and data modeling principles.
Experience troubleshooting data flow and infrastructure issues.
Ability to work closely with engineers, analysts, and product stakeholders.
Experience in Agile development environments.
Experience with large-scale social, behavioral, or customer datasets.
Nice to Have Skills & Experience
Experience supporting AI/ML initiatives through data infrastructure.
Experience with large-scale social, behavioral, or customer datasets.
Experience with streaming or near real-time data pipelines.
Familiarity with business intelligence and analytics use cases.
Exposure to Python or other scripting languages.
Experience working in high-growth startup environments and/or large enterprise organizations.
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.