About Us At Kalderos, we are building unifying technologies that bring transparency, trust, and equity to the entire healthcare community with a focus on pharmaceutical pricing. Our success is measured when we can empower all of healthcare to focus more on improving the health of people. That success is driven by Kalderos’ greatest asset, our people.

Our team thrives on the problems that we solve, is driven to innovate, and thrives on the feedback of their peers. Our team is passionate about what they do and we are looking for people to join our company and our mission. That’s where you come in!

We are looking for a collaborative Senior Data Engineer . You have a strong inclination to work in rapidly developing and expanding organizations and possess the necessary background to do so. You are well-acquainted with the fast-paced, high-volume, and uncertain nature of operations in the organization, and perceive it as a chance to deliver significant outcomes.

What You'Ll Do

Design and implement data models in partnership with product, analytics, and engineering teams so they are scalable, well-documented, and aligned to business needs Collaborate with other Data Engineers to solve problems that directly impact enterprise customers Build data transformations and data flows utilizing Python, SQL, DBT, Postgres and Snowflake Build out automated ETL jobs that reliably process large amounts of data, and ensure these jobs run consistently and are well-monitored Build tools that enable other data engineers to work more efficiently Tune existing implementations to run more efficiently as they become bottlenecks, or migrate existing implementations to new paradigms as needed Learn and apply knowledge about the drug discount space, and become a subject matter expert for internal teams to draw upon Take ownership, lead decision-making, and mentor junior engineers What You'll Bring Bachelor’s degree in computer science or similar field, or equivalent experience 5+ years of work experience as a Data Engineer in a professional full-time role Advanced knowledge of SQL and Python (along with data analysis libraries such as Pandas, NumPy, and others) Strong data modeling experience (understanding of SQL, NoSQL, and other database types along with relational modeling) Ability to learn new technologies and work in various components across the full tech stack Experience with cloud native infrastructure (Azure preferred) Experience with Container Applications (Docker) Experience building ETL pipelines and other services Experience with GenAI Tools and Workflows Professional experience in application programming with an object-oriented language.

Perks

and

Benefits

Medical, Dental, and Vision

401k with company match Flexible PTO with a 10 day minimum Mobile Wifi Reimbursement Commuter Reimbursement Donation matching for charitable contributions Travel reimbursement for healthcare services not available near your home New employee home office setup reimbursement This role can be remote in the United States or hybrid in Chicago or Boston. Expected Salary Range: $145,000-$170,000 base + bonus What It’s Like Working Here We thrive on collaboration, because we believe that all voices matter and we can only put our best work into the world when we work together to solve problems. We empower each other and believe in ensuring all voices are heard.

We know the importance of feedback in individual and organizational growth and development, which is why we've embedded it into our practice and culture. We’re curious and go deep. Our slack channels are filled throughout the day with insightful articles, discussions around our industry, healthcare, and anything else that interests our team!

Sr. Data Engineer