Data Engineer

Location: Red Cat Corporate, Salt Lake City, Utah, United States; onsite facility work required

Work includes regular access to large indoor and outdoor facilities, occasional off-hours or weekend support, and physical activities such as walking, standing, lifting up to 25 lbs, and using PPE where required.

Company

hirify.global develops technology and hardware for industrial and defense applications.

What you will do

• Build and maintain ETL/ELT pipelines ingesting data from internal databases, SaaS tools, third-party APIs, and other sources.
• Implement scheduling, orchestration, retries, alerting, and incremental processing for reliable and scalable pipelines.
• Help establish the first cloud data warehouse, including the initial schema and data models.
• Implement data quality checks, anomaly detection, reconciliation checks, freshness monitoring, and basic lineage documentation.
• Translate stakeholder questions from Product, Operations, Finance, and Analytics into durable, reusable datasets.
• Document data sources, models, and assumptions, and participate in a support or on-call rotation after launch.

Requirements

• At least 3 years of data engineering experience, specifically managing a data warehouse.
• Bachelor’s degree in computer science, data engineering, information systems, or an equivalent technical field.
• Strong SQL skills, including joins, window functions, and reliable transformation logic.
• Comfort with Python or a similar language for pipeline development, automation, and data tooling.
• Understanding of data warehousing fundamentals, including tables, partitions, incremental loads, and data modeling.
• Must provide proof of U.S. citizenship or permanent residence for ITAR/EAR-restricted work and must not require sponsorship.

Nice to have

• Experience with dbt, including models, tests, and documentation.
• Experience with Airflow, Dagster, Prefect, or similar orchestration tools.
• Experience with Snowflake, BigQuery, Redshift, API ingestion, or messy SaaS exports.
• Familiarity with data freshness checks, anomaly detection, monitoring, and alerting.

Culture & Benefits

• Base pay with an annual equity package and potential bonuses.
• Post-offer background check required.
• Equal employment opportunity practices and consideration of qualified candidates with criminal histories in accordance with applicable law.
• Participation in E-Verify to confirm employment eligibility and right-to-work compliance.