Data Engineer
Skills
- 3+ years building data infrastructure with Spark and Scala
- Strong proficiency with AWS services and cloud data tooling
- Expert SQL skills for data manipulation and extraction
- Familiarity with data lakes, cloud warehouses, and table formats (Iceberg, Delta)
- ETL design and pipeline optimization experience
- Experience integrating data pipelines with machine learning workflows
- Excellent written and verbal communication skills
Responsibilities
- Design and implement robust data infrastructure using Spark with Scala
- Build, maintain, and optimize core ETL/data pipelines to feed ML models and analytics
- Store data in optimal engines and formats and manage data lake/warehouse integrations
- Implement automated data quality checks and monitoring
- Optimize AWS resources and cloud costs for data workflows
- Collaborate cross-functionally with Data Science, Product, and Engineering teams
- Deliver timely, well-documented solutions and support production troubleshooting
Education
- Bachelor's degree in Computer Science or a related field (required)
Benefits
- Full health, dental, and vision insurance (up to 95% employer-funded)
- Employee stock option program
- Company-sponsored retirement plan with matching (Fidelity)
- 12 paid holidays annually (including 2 flexible days)
- Generous PTO policy
- Remote-first work environment and flexibility
- Bonus & equity opportunities
Average salary estimate
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