Job Description
Compensation:
10-15 LPA - Exact compensation may vary based on several factors, including skills, experience, and education.
Day to Day Responsibilities
Act as a production support partner alongside the team’s rotational onshore/offshore support engineers
Monitor, triage, and resolve data pipeline and job failures, including:
ETL/ELT job errors
Data quality issues and discrepancies
Upstream/downstream dependency failures
Perform hands-on debugging across data platforms, logs, and orchestration tools
Execute urgent development fixes tied to high‑priority production incidents
Support end‑to‑end incident management, including:
Root Cause Analysis (RCA)
Prevention / no‑repeat action plans
Clear documentation of issue, impact, and resolution
Pair with on‑call engineers to help offload development work, follow up on time‑sensitive issues, and respond to inbound support items
Remain generally available during extended coverage hours (7am–8pm ET) to assist with critical incidents when needed
When production is stable, contribute to KTLO and standard development backlog work alongside the broader engineering team
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 data engineering foundation, including:
Advanced SQL
ETL / ELT pipeline development
Experience with cloud data warehouses (BigQuery preferred)
Workflow orchestration tools (e.g., Airflow or similar)
Prior experience in production or operational support roles
Proven ability to debug complex data issues using logs, metrics, and system traces
Experience conducting root cause analysis and documenting incidents clearly and thoroughly
Comfort working in a rotational support model with onshore/offshore teams
Ability to balance urgent production fixes with ongoing development work
Strong communication skills — able to explain technical issues, impact, and resolution clearly
Nice to Have Skills & Experience
Direct experience in 24/7 production support environments
Familiarity with incident management frameworks and post‑incident best practices
Experience supporting business‑critical or high‑visibility data pipelines
Background in KTLO/backlog stabilization efforts
Experience partnering closely with platform, infra, or upstream/downstream engineering teams
Comfort joining incident calls during critical situations, even outside standard working hours
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.