Software engineer
- Location
- San Francisco
- Type
- Full time
- Compensation
- $150k-$200k
- Posted
- 2 days ago
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Convo is looking for Python Data Engineers with 10+ years of experience in production data engineering and pipeline operations. The ideal candidate should have strong expertise in Python, SQL, Airflow/Azure Data Factory, Spark, data quality, schema validation, and monitoring, with the ability to troubleshoot pipeline issues, maintain reliable data workflows, and ensure data quality, freshness, and operational stability.
Maintain data pipelines, implement schema-validation automation and resolve operational incidents within the approved platform architecture.
Maintain and enhance Python/SQL pipelines orchestrated through Airflow, Azure Data Factory or equivalent.
Implement schema, completeness, freshness and reconciliation checks.
Diagnose and resolve pipeline failures, data-quality incidents and performance regressions.
Support Spark jobs and incremental data-processing patterns.
Add monitoring, structured logging and actionable alerts.
Document fixes, recurring failure patterns and operational procedures.
Production Python and SQL for data engineering.
Airflow, Azure Data Factory or comparable workflow orchestration.
Working knowledge of Spark and distributed data-processing concepts.
Data-quality and schema-validation implementation.
Monitoring, incident triage and root-cause analysis.
Version control, automated testing and controlled deployment practices.
Databricks, Delta Lake and cloud storage patterns.
On-call or production-support experience for data platforms.
CPG, retail or enterprise-source data.
Stable pipelines meeting agreed freshness and quality thresholds.
Automated validation and monitoring coverage.
Closed incidents with documented root cause and preventive action.
Updated runbooks and maintainable handover documentation.
Works with Senior Data Engineers, Telemetry Support, connector teams and platform operations.
Workplace: Hybrid | Can work remotely sometimes