Data Engineer

Support campaign operations and production workflows with hands‑on SQL, data quality checks, and cross‑team incident resolution.

• Monitor campaign execution to confirm processing, quality checks, and delivery activities complete accurately.
• Assist with campaign setup changes, including data mapping, cost refreshes, reruns, and production corrections.
• Review processing requirements and dependencies prior to campaign execution.
• Track campaign schedules, end dates, and processing eligibility.
• Coordinate validated outputs and operational handoffs to downstream teams.
• Run quality checks on campaign outputs and investigate data anomalies.
• Validate processing results using record counts, trends, and data accuracy checks.
• Support QC for portal files and monthly data extracts.
• Investigate discrepancies and coordinate resolutions with relevant teams.
• Maintain QC documentation and support continuous improvement of operational controls.
• Act as an onshore point of contact for production issues, failed jobs, data discrepancies, and operational questions.
• Conduct initial troubleshooting and determine when technical escalation is needed.
• Collect supporting evidence for investigations, including logs, SQL queries, and screenshots.
• Coordinate retesting and validation after production fixes.
• Track incidents through resolution and communicate updates to stakeholders.
• Support root‑cause analysis and recurring issue management.
• Collaborate with Data Management, Product Support, Development, Data Ingestion, Client Engagement, and other technical teams.
• Translate business and operational issues into clear technical support requests.
• Coordinate campaign exceptions, missing inputs, mapping decisions, reruns, and redeliveries.
• Communicate operational status, risks, blockers, and downstream impacts.
• Participate in operational meetings, campaign reviews, and issue discussions.
• Maintain operational trackers, support tickets, processing statuses, and issue documentation.
• Maintain standard operating procedures and production support documentation.
• Identify recurring issues and opportunities for automation and process improvement.
• Support new operational controls and transition new capabilities into production support.
• Follow established approval and change‑control procedures.

• Experience in Data Operations, Production Support, Application Support, Campaign Operations, Analytics Operations, or a similar data‑intensive environment.
• Strong hands‑on SQL skills to query large datasets and investigate data discrepancies.
• Experience supporting scheduled production workflows, batch processing, or data pipelines.
• Strong troubleshooting skills for first‑level issue analysis.
• Experience with data validation, reconciliation, and quality‑control processes.
• Excellent written and verbal communication skills.
• Ability to manage multiple concurrent deliverables, production incidents, and operational priorities.
• Strong attention to detail, problem‑solving ability, and an ownership mindset.

• Snowflake
• SQL
• ETL / Production Data Pipelines
• Workflow Scheduling and Orchestration Tools
• Power BI or similar reporting and QC tools
• SFTP and File‑Based Integrations
• Jira / Confluence

• Job title:
  
  Data Operations & Production Support Analyst
• Pay rate: $70-$74/hr on W2
• Location:
  
  100% Remote (onsite interview required)
• Duration: 6+ contract
• Candidate location: must be located in PA, NJ, or NY
• Location listing:
  New Providence, NJ (remote)

• Snowflake
• SQL
• ETL / Production Data Pipelines
• Workflow Scheduling and Orchestration Tools
• Power BI or similar reporting and QC tools
• SFTP and File‑Based Integrations
• Jira / Confluence
• Campaign Operations or Digital Measurement Data