Remote Senior Data Engineer

Description:

• CompScience is a high-growth startup focused on preventing workplace injuries through technological innovations.
• The company was founded in 2019 and is backed by investors from SpaceX, Tesla, and Anduril.
• The team consists of experts in computer vision, software architecture, data science, and insurance, combining technology with insurance acumen.
• The Senior Data Engineer will design, build, and manage the core AWS data infrastructure.
• Responsibilities include creating scalable, high-performance, and cost-effective data solutions.
• The role involves collaboration with data science, engineering, and product teams to develop ETL processes and storage solutions for analytics, underwriting, and risk management tools.

Requirements:

• Candidates must have 7+ years of software development experience, with at least 3+ years in cloud data engineering.
• Proficiency in core AWS services such as Redshift, AWS RDS, Amazon S3, Glue, SQS, and Lambda functions is required.
• Expert-level programming skills in TypeScript and Python are necessary.
• Experience with data visualization tools like Tableau, QuickSight, and Google Data Studio is essential, along with handling structured and semi-structured data.
• Strong analytical and problem-solving skills are required, along with excellent communication abilities for collaboration.
• A Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience, is mandatory.

Benefits:

• CompScience offers a fast-paced startup environment where ideas can quickly become reality.
• Employees have the opportunity to wear multiple hats and grow beyond their job descriptions.
• The company promotes a remote-first culture with home office support.
• Comprehensive health benefits including Medical, Dental, Vision, and HSA are provided.
• A 401(k) plan and life insurance are included in the benefits package.
• Flexible time off and 12 weeks of parental leave are offered.
• Professional development reimbursement is available to support continuous learning.