Senior Data Engineer

About CompScience

At CompScience, we're not just building software, we're saving lives. We're a high-growth startup on a mission to prevent 1 million workplace injuries through bold technological innovations, ensuring that everyone can go home safe at the end of the day.

Founded in 2019 and backed by investors from SpaceX, Tesla, and Anduril, we've assembled a powerhouse team that bridges two worlds:

• Cutting-Edge Technology: Our product, design, and engineering teams are composed of distinguished computer vision engineers, software architects, data scientists and product and design leaders from Amazon R&D, Meta, and the self-driving car industry. They bring unparalleled expertise in AI, machine learning, and design to the realm of workplace safety.

• Insurance Acumen: Our insurance team is made up of seasoned professionals who understand the nuances of workers' compensation policies. They work hand-in-hand with our tech experts to translate advanced analytics into tangible insurance products that truly serve our clients' needs.

Our groundbreaking perception-based risk assessment program, the first of its kind, provides the most comprehensive data stream available for risk analysis and monitoring and has proven to significantly reduce accidents in some of the world's most hazardous occupations.

About the Role

We are looking for an experienced Senior Data Engineer to design, build, and manage our core AWS data infrastructure. In this role, you will be responsible for creating scalable, high-performance, and cost-effective data solutions. You will collaborate closely with data science, engineering, and product teams to build the ETL processes and storage solutions that power our analytics, underwriting, and risk management tools, directly impacting our mission to create safer workplace

Responsibilities

• Design, implement, and oversee our AWS-based data infrastructure, ensuring it strikes the right balance between performance, scalability, and cost-efficiency.

• Engage and collaborate with cross-functional teams including data science, field engineering, and computer vision groups to ensure the infrastructure is tailored to their varying requirements.

• Champion the development and maintenance of ETL processes, leveraging tools like Amazon Glue, SQS, and Lambda functions.

• Strategize and implement optimal data storage solutions, leveraging Amazon S3, PostgreSQL, Redshift, and AWS RDS.

• Build and support underwriting, pricing, and risk management tools using analytics platforms like Google Data Studio, AWS QuickSight, and Tableau.

• Automate and streamline data processes to pinpoint the sweet spot between performance and cost, ensuring timely and precise delivery of data analytics.

Required Experience

• 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.

Nice-to-have

• Experience in InsureTech.

• Experience with processing and ingesting free form data

• Experience building out data pipelines and analytics for a fast growing MGA

Working at CompScience

Compensation: CompScience is committed to fair and equitable compensation practices. The annual salary range for this role is $150,000 – $175,000. Compensation is determined within the range based on your qualifications and experience. Our total compensation package also includes equity and comprehensive benefits.

Benefits at CompScience:

• Fast-paced startup environment where your ideas can quickly become reality

• Opportunity to wear multiple hats and grow beyond your job description

• Remote-first culture with home office support

• Comprehensive health benefits (Medical, Dental, Vision, HSA)

• 401(k) plan and life insurance

• Flexible time off and 12 weeks parental leave

• Professional development reimbursement

Our Ideal Teammate:

• Thrives in a fast-paced startup and is comfortable navigating ambiguity

• Excited to wear multiple hats and grow rapidly

• Committed to our mission of saving lives through technology