Data Engineer

We’re hiring a Data Engineer to design and maintain the highscale data infrastructure that powers the AirOps platform. You will build robust ingestion, cleanup, and integration pipelines, ensuring that the data our customers rely on for brand visibility insights is accurate, reliable, and ready for analysis.

Responsibilities

• Design, build, and maintain scalable ETLELT 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

• Your Experience

  • 4+ years of experience in data engineering, ideally in AI, SaaS, or dataintensive 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 productiongrade data pipelines in cloud environments (AWS, GCP, or similar)

  • Familiarity with orchestration frameworks (Airflow, Dagster, Prefect)

  • Comfort operating in fastpaced, ambiguous environments where you ship quickly and iterate

  • About You

    • You love building systems that make data accurate, reliable, and accessible at scale

    • You think in terms of automation and scalability, not manual workarounds

    • You collaborate well with data scientists, product managers, and engineers

    • You enjoy working with large, complex datasets and solving performance challenges

    • You take pride in operational excellence and care about the quality of the data you deliver

    • Our Guiding Principles

      1. Extreme Ownership

      3. Quality

      5. Curiosity and Play

      7. Make Our Customers Heroes

      9. Respectful Candor

      10. Benefits

          • Equity in a fastgrowing startup

          • Competitive benefits package tailored to your location

          • Flexible time off policy

          • Generous parental leave

          • A funloving and (just a bit) nerdy team that loves to move fast!