Key skills
PythonSQLNoSQLGenAIPandasNumPyETLAnalyticsSnowflakedbtAzureTerraformDockerPostgres
About this role
Kalderos is a company focused on building technologies that enhance transparency and equity in healthcare, particularly in pharmaceutical pricing. They are seeking a Senior Data Engineer to design and implement scalable data models, collaborate with teams, and mentor junior engineers while contributing to the organization's mission.
Responsibilities:
- 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
Requirements:
- 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
- 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