Kalderos

Kalderos

HQ
Chicago, IL
Total Offices: 2
100 Total Employees
Year Founded: 2016

Offices at Kalderos

Kalderos is headquartered in Chicago, IL and has 2 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

We support you how you work best, whether that's entirely remote, entirely on-site, or anything in between. We provide a monthly stipend as well.

Typical time on-site: Flexible

U.S. Office Locations

HQ
Chicago, IL

We have offices in Chicago's West Loop and Brookfield, WI. Our team members can work from those offices and/or remotely anywhere in the US. You can work wherever you work best!

Boston, MA

Boston, MA, United States

Search the 6 jobs at Kalderos

Recently posted jobs

2 Days Ago
Chicago, IL + 77 More
Remote
Big Data • Healthtech • Software • Analytics • Pharmaceutical
Customer Success Manager responsible for ensuring positive customer experience, providing support for product use, and developing process improvements. Key responsibilities include supporting drug manufacturers, working with states and pharmacy benefit managers, creating dispute reports, and building efficiency into customer success activities.
7 Days Ago
Chicago, IL + 77 More
Remote
Hybrid
Big Data • Healthtech • Software • Analytics • Pharmaceutical
Recruit and lead covered entity stakeholders through the adoption and production use of drug discount and rebate products. Support operations to achieve customer satisfaction and growth, driving retention and expansion of the covered entity network. Strategic problem-solving, revenue objectives, relationship-building, and high-quality customer experience are key focuses.
10 Days Ago
United States + 77 More
Remote
Hybrid
Big Data • Healthtech • Software • Analytics • Pharmaceutical
Seeking a collaborative Senior Data Engineer with strong experience in data modeling, SQL, Python, DBT, and Snowflake. Responsibilities include mentoring junior data engineers, building data transformations, and optimizing ETL jobs for processing large amounts of data. Must have 6+ years of experience in data engineering, a Bachelor’s degree in computer science, and proficiency in cloud native infrastructure (Azure), Docker, and object-oriented programming.