Sr. Data Engineer
$145,000 – $170,000 USD
Tech Stack
Responsibilities
- Design and implement scalable, well-documented data models in partnership with product, analytics, and engineering teams.
- Collaborate with other Data Engineers to solve problems impacting enterprise customers.
- Build data transformations and data flows using Python, SQL, DBT, Postgres, and Snowflake.
- Develop automated ETL jobs that reliably process large amounts of data, ensuring consistent operation and monitoring.
- Tune existing data implementations for efficiency or migrate them to new paradigms as needed, and mentor junior engineers.
Soft Skills
Healthcare IndustryMentoringCross-Functional Collaboration
Benefits
- Health Insurance
- Dental
- Vision
- 401k
- Flexible PTO
- Remote Stipend
- Commuter Benefits
- Donation Matching
- Travel Reimbursement
- Home Office Budget
Culture
Cross-Functional TeamsFeedbackMission-DrivenInclusive Hiring
Requirements
Required: Bachelor’s degree in computer science or similar field, or equivalent experience
Regions: Us
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About Kalderos
Industry: healthcare
Kalderos is building unifying technologies to bring transparency, trust, and equity to the healthcare community, focusing on pharmaceutical pricing. The company aims to empower healthcare to improve people's health through innovation and a collaborative team culture.
View company profile →Compensation
Base salary: $145,000 – $170,000 USD
Bonus: base + bonus