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 $160,000 - $180,000 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 and power analytics, reporting, machine learning, and other data products across Carrum’s business units.
• Collaborate with internal and external stakeholders to properly understand data needs. Partner with the analytics and data science teams to understand and optimize downstream data usage, with analytics engineers to build reusable, well-documented datasets, and with the devops and software teams to foster a cross-team approach to infrastructure and engineering.
• Support automation solutions that reduce toil and repetitive tasks, freeing up time for higher-leverage work.
• Participate early in architecting our next-generation data infrastructure in Microsoft Azure, and take an active role in evaluating and selecting an upgraded data warehouse stack.
• Learn the nuance of our healthcare datasets, including medical claims and insurance eligibility. Understand HIPAA compliance and support Carrum’s success in this area.

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 and data warehouses 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 (or Ruby), postgreSQL, and docker and is willing to dabble with Bash; we’re also looking for experience with Azure and (optionally) AWS Athena and compute jobs (batch jobs, Lambda functions, and Glue jobs).
• 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.
• Have experimented with or adopted AI productivity tools and are intellectually curious about how AI is transforming data engineering.

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.