About UsAt 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. Set Yourself Apart - Experience with DBT and Snowflake - Experience with event driven platforms - Experience with infrastructure as code tools like Terraform - Knowledge about the drug discount space and healthcare industry Highlighted Company Perks and Benefits - Medical, Dental, and Vision benefits - 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! To learn more: https://www.kalderos.com/company/culture We know that job postings can be intimidating, and research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. We encourage you to apply if you think you may be a fit and give us both a chance to find out! Kalderos is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. Kalderos participates in E-Verify.

• Lead the design, development, and optimization of enterprise scale data pipelines and architectures. • Build and maintain robust ETL processes, ensure high data availability, and support advanced analytics and business intelligence needs. • Collaborate closely with data scientists, analysts, product managers, engineering managers, TPMs, and architects to translate complex business requirements into scalable technical solutions. • Guide junior engineers, drive technical innovation, and influence enterprise data strategy.

• Aufbau, Betrieb und Weiterentwicklung einer skalierbaren Datenplattform (Warehouse / Lake / Lakehouse) • Entwicklung und Wartung robuster ETL/ELT-Pipelines zur Integration unterschiedlichster Datenquellen • Sicherstellung von Datenqualität, Performance, Skalierbarkeit und Kostenoptimierung • Implementierung von Monitoring-, Governance- und Sicherheitskonzepten (inkl. DSGVO) • Enge Zusammenarbeit mit Analytics-, Product- und Engineering-Teams • Automatisierung von Datenprozessen sowie kontinuierliche Verbesserung bestehender Architekturen • Aktive Mitgestaltung der Datenstrategie und Evaluation neuer Technologien

Role Description We are seeking an experienced Senior Data Engineer / Data Architect with deep expertise in financial services and capital markets trading systems to design, build, and operate highly scalable, low latency data platforms. This role focuses on creating modern data lakehouse architectures, real time data pipelines, and analytics ready data models that support trading, risk, reporting, and regulatory requirements. - The ideal candidate brings strong technical depth in distributed data systems. - Hands on experience with streaming and batch pipelines. - Solid understanding of trade lifecycle, market data, and regulatory compliance. - You will work closely with trading desks, product teams, AI/analytics teams, and architects to deliver reliable, secure, and high performance data solutions. Qualifications - 7–12+ years of experience in data engineering, backend engineering, or distributed systems. - Strong programming expertise in Python, Scala, and/or Java. - Advanced SQL skills and hands on experience with distributed data processing frameworks such as Apache Spark or Apache Flink. - Extensive experience with streaming platforms including Kafka, Kinesis, or Pulsar. - Hands on experience with data lake and data warehouse technologies such as Databricks, Snowflake, Amazon Redshift, or similar platforms. - Proven experience building real time or near real time data pipelines. - Strong understanding of data modeling, distributed systems, scalability, and performance optimization. Requirements - Experience in Wealth Management or Capital Markets trading systems. - Familiarity with OMS/EMS platforms such as Charles River Development (CRD), Aladdin, FIS, or similar systems. - Strong knowledge of market data across equities, fixed income, derivatives, and other asset classes. - Understanding of the trade lifecycle, including order capture, execution, allocation, clearing, and post trade processing. - Experience with cloud native data platforms on AWS, Azure, or GCP. - Exposure to real time analytics, risk management systems, and regulatory reporting platforms.