Senior Analytics Engineer

Summary

Join Carrum Health, a health tech company revolutionizing healthcare payment, delivery, and experience. As a Senior Analytics Engineer, you will play a pivotal role in enhancing data-driven decision-making by designing, developing, and maintaining a high-quality data warehouse and robust analytics solutions. You will collaborate with various teams to generate reports, develop insights, and shape analytics engineering. This role requires 7+ years of experience in data engineering or analytics engineering and expertise in SQL, dbt, Python, and data warehousing technologies. The salary range is $130,000-$160,000, and the company offers a remote-first work environment with flexible hours, generous time off, paid parental leave, and various other benefits.

Requirements

• 7+ years of experience in data engineering and/or analytics engineering and a degree in a quantitative discipline, or 10+ years of relevant experience with a proven track record of delivering successful analytics solutions
• Deep expertise in SQL, dbt, python, and software development best practices
• Have experimented with or adopted AI productivity tools and are intellectually curious about how AI is transforming analytics engineering
• Working knowledge of cloud environments like AWS or Azure
• A strong grasp of data warehousing, scheduling, data modeling, and data quality
• An innate curiosity, an eye for detail, and excellent problem-solving and analytical skills. You stay up-to-date with the latest trends and technologies in data and analytics engineering
• The ability to work independently and as part of a team coupled with strong communication skills, both written (documentation and comments) and verbal
• A relative comfort with ambiguity and a mission driven mindset which makes you proactively seek to make things more smooth and scalable, rather than waiting for a solution to be dictated
• An entrepreneurial spirit and an ability to innovate and solve problems creatively and strategically

Responsibilities

• Identify, define, and document Carrum’s core business logic
• Take an active role in migrating to our next-generation data infrastructure in Microsoft Azure, and provide technical leadership in evaluating and selecting an upgraded data warehouse stack
• Build and maintain data models and data marts, and write automated tests to monitor and ensure data is high quality, complete, and certified fresh
• Document and evangelize the adoption of this foundational source of truth data for strategic decision making
• Formalize processes for change management and version control
• Collaborate with data engineers, data scientists, data analysts, and business stakeholders to understand their data needs and translate them into technical requirements, then partner with other engineering teams to make it happen
• Propose and deliver automation solutions that reduce toil and repetitive tasks, freeing up time for higher-leverage work
• Be responsive to the needs of stakeholders with sometimes very tight turn-around requirements while looking to build scalable tools to further Carrum’s growth objectives

Preferred Qualifications

• Working knowledge of data warehousing tech like DBT, Snowflake, Synapse, Databricks, and Fabric; DBT certification is a highly preferred
• Experience with dashboarding tools like Tableau, Looker, and/or Sisense
• Knowledge of healthcare tech industry and/or medical/pharmacy claims is a strong plus
• A passion for Carrum Health’s mission to make healthcare more affordable and consumer-centric, one bundle at a time

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