Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Lead Data Engineer building ETL, validation, and scalable data pipelines for AirOps' AI marketing platform. Ensure reliable analytics and productionize ML models across cloud environments.
Responsibilities
- Design, build, and maintain scalable ETL pipelines for ingesting and transforming large volumes of data
- Implement automated data validation, monitoring, and alerting to ensure quality and reliability
- Integrate diverse internal and external data sources into unified, queryable datasets
- Optimize storage and query performance for analytical workloads
- Collaborate with data scientists to productionize ML models and ensure they run reliably at scale
- Work with product and engineering teams to meet data needs for new features and insights
- Maintain cost efficiency and operational excellence in cloud environments
- Build robust ingestion, cleanup, and integration pipelines to ensure accurate, reliable data ready for analysis
Requirements
- 4+ years of experience in data engineering, ideally in AI, SaaS, or data-intensive products
- Strong fluency in Python and SQL
- Experience with modern data modeling tools such as dbt
- Experience with data warehouses and OLAP databases (e.g., Redshift, Snowflake, BigQuery, ClickHouse)
- Proven ability to design and maintain production-grade data pipelines in cloud environments (AWS, GCP, or similar)
- Familiarity with orchestration frameworks (Airflow, Dagster, Prefect)
- Comfort operating in fast-paced, ambiguous environments where you ship quickly and iterate
Benefits
- Equity in a fast-growing startup
- Competitive benefits package tailored to your location
- Flexible time off policy
- Generous parental leave
- A fun-loving and (just a bit) nerdy team that loves to move fast!
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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