Salary
💰 $150,000 - $175,000 per year
Tech Stack
Amazon RedshiftAWSCloudETLPostgresPythonRealmTableauTypeScript
About the role
- About CompScience: A safety-tech startup focused on preventing workplace injuries, founded in 2019 and backed by investors from SpaceX, Tesla, and Anduril
- Our groundbreaking perception-based risk assessment program provides a comprehensive data stream for risk analysis and monitoring
- Role: Senior Data Engineer to design, build, and manage core AWS data infrastructure; collaborate with data science, engineering, and product teams
- Responsibilities: Design, implement, and oversee AWS-based data infrastructure balancing performance, scalability, and cost-efficiency; collaborate with cross-functional teams; develop ETL using Glue, SQS, and Lambda; store with S3, PostgreSQL, Redshift, AWS RDS; build tools using Google Data Studio, QuickSight, Tableau; automate data processes for timely analytics
- Working at CompScience: Compensation: $150k–$175k per year plus equity and benefits; remote-first culture; comprehensive benefits
- Ideal Teammate: Thrive in fast-paced startup; wear multiple hats; commit to mission of saving lives through technology
Requirements
- 7+ years of software development experience, with a minimum of 3+ years focused specifically on cloud data engineering
- Demonstrated proficiency with core AWS services, notably Redshift, AWS RDS, Amazon S3, Glue, SQS, and Lambda functions
- Expert-level programming skills in both TypeScript and Python
- Experience with data visualization tools (e.g., Tableau, QuickSight, Google Data Studio) and handling a mix of structured and semi-structured data; experience in the InsureTech sector is advantageous
- Acute analytical and problem-solving capabilities, paired with excellent communication skills for effective collaboration with both in-house teams and overseas development partners
- A Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience