Senior Data Engineer

Summary

Join Carrum Health's growing Data Engineering and Operations team as a Senior Data Engineer. You will develop and maintain data solutions, master healthcare datasets, collaborate with stakeholders, and build data pipelines. The ideal candidate possesses 10+ years of experience in data engineering, proficiency in various technologies (Python, PostgreSQL, AWS services, Docker), and a strong understanding of data quality and scalability. This full-time position offers a salary range of $140,000-$160,000, depending on experience and location. Carrum Health provides a collaborative, remote-work environment with various benefits, including stock options, flexible schedules, paid parental leave, and comprehensive health insurance.

Requirements

• 10+ years professional experience as a data engineer, including ownership of data products and fluency with engineering best practices
• Previously designed and built data platforms while partnering with internal and external stakeholders
• Proficiency with a variety of data engineering technology and a willingness and ability to learn new tools. We’re specifically looking for someone who can dive into Python, postgreSQL, AWS Athena, AWS compute jobs (batch jobs, Lambda functions, and Glue jobs), and docker and is willing to dabble with Bash and Ruby
• A history of designing systems with an approach centered on data quality and scalability
• An appreciation for the challenges and optimizations relevant to an early-stage start-up environment
• Interpersonal skills – you don’t have a hard time being empathetic, courteous, and collaborative
• Experience in the healthcare space or another highly-regulated industry

Responsibilities

• Develop and maintain creative solutions to evolving challenges that span data ingestion, processing, and modeling
• Master the ins and outs of our healthcare datasets, including medical claims and insurance eligibility
• Collaborate closely with internal and external stakeholders to properly understand data needs
• Grow and maintain pipelines that power analytics, machine learning, and data products in our application layer
• Partner with the analytics and data science teams to understand and optimize downstream data usage and with the devops and software teams to foster a cross-team approach to infrastructure and engineering
• Understand HIPAA compliance and support Carrum’s success in this area
• Participate early in the development of a robust data foundation and infrastructure, implementing quality control, ETL, build pipelines, internal reporting systems based on AWS Cloudwatch and Tableau, and self-service tools as the company grows
• Have a direct impact on the technical direction and product roadmap of the company

Benefits

• Stock option plan
• Flexible schedules and remote work
• Chicago and San Francisco offices available
• Self-managed vacation days, within reason
• Paid parental leave
• Health, vision, and dental insurance
• 401K retirement plan