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About the Role
We’re hiring a Data Engineer to build our data foundation from the ground up. You’ll help us stand up our first analytics data warehouse and build the ETL/ELT pipelines that keep it accurate, fresh, and easy to use. You’ll work closely with stakeholders and engineering teammates to make pragmatic choices and ship value quickly.
Responsibilities
- Build and maintain ETL/ELT pipelines that ingest data from multiple sources, ensuring reliability.
- Implement scheduling, orchestration, retries, and alerting for pipeline operations.
- Design pipelines using incremental processing patterns for scalability and cost efficiency.
- Help set up our first cloud data warehouse and initial schema/layout.
- Add data quality checks and address root causes for data discrepancies.
- Create lightweight observability for data freshness, pipeline runs, and basic lineage.
- Make thoughtful tradeoffs between performance, usability, and maintainability.
- Work with stakeholders to translate questions into durable datasets.
- Document sources, models, and assumptions for team self-service and onboarding.
- Participate in a support/on-call rotation.
Requirements
- Bachelor’s degree in computer science, data engineering, information systems, or equivalent technical degree.
- 3+ years of data engineering experience, specifically in managing a data warehouse.
- Strong SQL skills (joins, window functions, building reliable transformation logic).
- Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue.
- Understanding of data warehousing basics: tables, partitions, incremental loads, and modeling choices.
- Hands-on exposure to ETL/ELT or pipelines in production or a substantial project/internship.
- Solid engineering habits: Git, readable code, and a willingness to write things down.
- Must be able to walk, stand, and navigate large indoor and outdoor facilities for extended periods.
- Ability to lift, carry, and move materials and equipment weighing up to 25 lbs on a regular basis.
- May be required to climb ladders, stoop, kneel, or crouch.
- Regular exposure to facility operations including noise, dust, temperature fluctuations, and industrial equipment.
- Occasional off-hours or weekend work required for emergency facility responses or projects.
- Requires frequent use of a computer and other standard office equipment.
- Must successfully complete a post-offer background check.
- Must provide proof of U.S. Citizenship or Permanent Residence.
- Must not require sponsorship for export-restricted work authorization.
Skills
- SQL
- Python
- ETL/ELT
- Data Warehousing
- Git
- dbt
- Airflow
- Dagster
- Prefect
- Snowflake
- BigQuery
- Redshift
- API Ingestion
- SaaS Data Exports
- Data Quality
- Observability
Location
- Salt Lake City, UT 84115
Work Type
- Onsite
Experience Level
- 3+ years of data engineering experience
Education Level
- Bachelor’s degree in computer science, data engineering, information systems, or equivalent technical degree
Salary/Compensations
- Base pay, plus generous annual equity package and potential bonuses.
Benefits
- Generous annual equity package
- Potential bonuses
About the Company
- Red Cat Holdings provides equal employment opportunities (EEO) to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
- This position requires direct or indirect access to hardware, software, technology or technical data controlled under the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR).
- The company participates E-Verify ensure eligibility for employment and compliance with Right to Work rules.
Equal Opportunity
- Red Cat Holdings provides equal employment opportunities (EEO) to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.