We are looking for a Mid-Level data Professional with strong SQL skills, hands-on experience with Airflow, the ability to read and understand Python code used in data pipelines, and practical familiarity with AI-assisted tools such as Cursor or Claude.
In this role, you will serve as a core pillar of our data operations and pipeline management. This position requires a blend of sharp analytical thinking, advanced problem-solving, and a deep understanding of production-grade ETL /ELT workflows. You will closely manage and optimize our data infrastructure, investigate and resolve complex data discrepancies, duplicates, and missing records, and leverage modern AI-driven tools to accelerate your workflow and troubleshooting. Furthermore, you will act as a key bridge, communicating technical data issues clearly and effectively to both technical and non-technical stakeholders.
Requirements: Must-have
4+ years of experience in data engineering, analytics engineering, BI engineering, or a similar data -focused role
Strong SQL skills, including complex queries, joins, aggregations, CTEs, and window functions
Experience investigating data discrepancies, duplicates, and missing records
Ability to troubleshoot Airflow DAGs, including task dependencies, schedules, and failures
Ability to read and understand Python code used in data pipelines
Familiarity with AI-assisted tools such as Cursor or Claude for troubleshooting and productivity
Experience working with production ETL / ELT pipelines
Strong problem-solving skills with high attention to detail
Nice-to-have:
Familiarity with marketing data or campaign performance flows
Experience with modern data platforms (Spark, Iceberg, Kafka, or cloud systems)
Passion for exploring new AI capabilities and adopting innov
This position is open to all candidates.
