Software Engineer

Campaign Operations & Delivery

• Monitor campaign execution and ensure required processing, QC, and delivery activities are completed appropriately.
• Support campaign setup changes, mapping/cost refreshes, reruns, reprocessing, and production corrections.
• Review processing requirements and dependencies before campaigns are released for execution.
• Monitor campaign end dates, processing requirements, and run eligibility to prevent unnecessary or incorrect executions.
• Coordinate validated outputs and operational handoffs to downstream teams.

Quality Control & Data Validation

• Perform or coordinate first-line QC for campaign outputs and investigate data anomalies before downstream delivery.
• Review campaign processing results, trend checks, record/count validations, and other operational controls.
• Support QC of portal files and monthly extracts and coordinate resolution of discrepancies with the appropriate teams.
• Maintain evidence of completed QC and support downstream reviewers with data and investigation findings.
• Help continuously strengthen operational controls to detect data or processing issues earlier.

Production Support & Issue Management

• Act as an onshore point of contact for production issues, failed jobs, unexpected campaign results, data discrepancies, and operational questions.
• Perform initial triage and determine whether issues require operational correction or escalation to Data Management, Product Support, Development, Data Ingestion, or other platform teams.
• Collect logs, queries, screenshots, processing details, and other evidence required for technical investigation.
• Coordinate retesting and validation following production fixes.
• Track operational issues through closure and communicate status, impact, dependencies, and resolution clearly to stakeholders.
• Support incident management and recurring-problem/root-cause analysis.

Stakeholder & Cross-Team Coordination

• Work closely with Client Engagement/Account Coordinators, Data Management Operations, CHIP Support, Product Support, Development, Config, Data Ingestion, and partner teams.
• Translate business-facing operational issues into clearly defined technical/support requests.
• Coordinate missing inputs, campaign exceptions, mapping decisions, QC findings, reruns, and redeliveries.
• Provide timely operational status and clearly communicate risks, blockers, downstream impacts, and required decisions.
• Participate in operational stand-ups, campaign reviews, issue discussions, and planning activities.

Operational Governance & Documentation

• Maintain operational trackers, support tickets, processing status, dependencies, and issue documentation.
• Ensure standard operating procedures and support documentation remain aligned with current production processes.
• Identify recurring manual tasks, production failure patterns, and opportunities for automation or standardization.
• Support implementation of new operational controls and transition new capabilities into steady-state production support.
• Follow defined approval and change-control processes for high-impact reruns, refreshes, or production changes.

• Experience in data operations, production support, application/platform support, campaign operations, analytics operations, or a similar data-intensive environment.
• Strong SQL skills with the ability to query and validate large datasets and investigate data discrepancies.
• Experience supporting scheduled production workflows, batch processing, or data pipelines.
• Strong troubleshooting skills and ability to perform first-level analysis before escalating issues.
• Experience with data validation, reconciliation, and operational quality-control processes.
• Strong written and verbal communication skills with the ability to explain technical issues to both technical and business stakeholders.
• Ability to manage multiple concurrent campaign deliverables, incidents, and operational priorities.
• Strong attention to detail and ownership mindset.

Preferred Technical Experience:

• Snowflake
• SQL
• Production data pipelines / ETL
• Workflow scheduling and orchestration
• Power BI or similar reporting/QC tools
• SFTP/file-based integrations
• Jira / Confluence or comparable work-management/documentation tools
• Campaign or digital measurement data