Job Description
One of Insight Global’s retail clients is seeking a Python/Go Engineer to join their Members Mark Community (MMC) initiative—a greenfield, high‑visibility member‑engagement platform being built for Sam’s Club’s Member’s Mark brand. MMC enables members to submit product ideas, provide structured and unstructured feedback, and participate directly in product creation. This role is a hybrid between backend engineering and data engineering, responsible for building Go‑based services and pipelines while leveraging Python for analytics workflows and ETL processing. The engineer will work across event‑driven services, data integrations, and cloud‑based analytics platforms to power features such as surveys, idea submission, and member insights. This role collaborates closely with data, platform, and cloud engineering teams to ensure scalable, high‑quality data movement throughout the MMC ecosystem.
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
Strong experience with Go, specifically for:
- Backend services
- Data pipelines or service‑level data processing
Proficiency with Python for:
- Data processing
- Analytics workflows
- ETL/ELT jobs
Exposure to modern cloud‑based data platforms, including:
- Google BigQuery (cloud data warehouse)
- Databricks (Spark‑based analytics / data engineering platform)
Experience working with SQL and data‑intensive workloads
Understanding of cloud‑native, event‑driven architectures
Nice to Have Skills & Experience
Experience with Spark, pandas, or distributed data processing
Experience in high‑scale or data‑heavy microservice environments
Prior work integrating data pipelines with Go services
Familiarity with message queues or streaming platforms (Kafka, Pub/Sub, etc.)
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.