Remote Data Operations Engineer - Production Support & QC

Experis Technology Group; New Providence (NJ); Remote; USD 96,000 - 102,000; Full time

Job summary

Experis Technology Group is seeking a detail-oriented Data Operations & Production Support Analyst to support campaign operations, production workflows, data quality, and issue resolution in a data-intensive environment. The role emphasizes strong SQL skills, handling production data pipelines, and coordinating with technical and business teams.

You will monitor campaigns, validate data, and drive issue resolution with cross-functional partners, including data management and development teams.

Qualifications

• Experience in Data Operations, Production Support, or similar data-intensive environment.
• Strong SQL skills to query large datasets and investigate data discrepancies.
• Experience with scheduled production workflows or data pipelines.
• Excellent written and verbal communication skills.
• Ability to manage multiple deliverables and production incidents.

Responsibilities

• Monitor campaign execution and ensure quality checks are completed.
• Support campaign setup changes, data mapping, and reruns.
• Review processing requirements and dependencies before execution.
• Coordinate outputs and handoffs to downstream teams.
• Serve as onshore contact for production issues and incidents.

Skills

SQL

Troubleshooting

Communication

Attention to detail

Tools

Snowflake SQL

ETL / Production Data Pipelines

Workflow Scheduling

Power BI

SFTP and File-Based Integrations

Jira / Confluence

Job description

Experis Technology Group is seeking a detail-oriented Data Operations & Production Support Analyst to support campaign operations, production workflows, data quality, and issue resolution in a data-intensive environment. The role emphasizes strong SQL skills, handling production data pipelines, and coordinating with technical and business teams.

You will monitor campaigns, validate data, and drive issue resolution with cross-functional partners, including data management and development teams.