Senior Data Engineer

Our growing Data Engineering and Operations team is looking for a Senior Data Engineer with a strong combination of mature technical skills, creativity and curiosity, and a strategic approach to problem-solving. The ideal candidate is a team player who has designed, implemented, and expanded maintainable, scalable data products and is comfortable with shifting task prioritization in a high-growth mode start-up. This position will enable analytics, scalability, and a portfolio of data products for both internal teams and external consumers. You will be part of creating the data foundation that is critical to our mission.

This is a full time position, the salary range for this role is $140,000 - $160,000 depending on level of experience and geographic location.

You’re excited about this opportunity because you will…

• 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.

We’re excited about you because you have…

• 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.
• If you’re excited about what you read here, we look forward to hearing from you, even if you aren’t sure whether you meet all of the qualifications.