Principal Data Engineer

As a Principal Data Engineer, you will work within the Engineering team and contribute to Tendo’s strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.

You will collaborate with Tendo’s Data Scientists, Product Managers, and Machine Learning Engineers to produce quality data flows and transformations that support advanced analytics and AI/ML model development. 

You will develop tools and solutions to facilitate data integration, data warehousing, and data modeling. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models to produce useful insights for Tendo’s customers.

The ideal candidate should have a strong background in software engineering, data modeling, data warehousing, ETL pipelines, and database design and a demonstrated interest or experience in applying AI/ML, and a forward-thinking mindset toward innovation in healthcare.

About Tendo

Make an impact—join our team!

We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. 

If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!

Job Location

Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.

• Collaborate with Data Scientists and Business Intelligence Analysts to ensure efficient and effective data processing and analysis.
• Optimize data infrastructure and processes to ensure optimal performance and scalability.
• Develop and maintain data documentation and data lineage.
• Stay current with emerging technologies and industry trends related to data engineering.

• 7+ years of experience in data engineering.
• Extensive experience in the design, build, and maintenance of data ETL pipelines.
• Extensive knowledge of coding in Python or Scala with a focus on data processing.
• Experience using Apache Spark (PySpark or Scala).
• Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.).
• Experience with data and entity relationship modeling to support data warehouses and analytics solutions.
• Deep understanding of relational and non-relational databases (SQL/NOSQL).
• Comfortable working with unstructured and semi-structured data (Web scraping).
• Experience working in a professional software environment using source control (git), an issue tracker (JIRA, Confluence, etc.), continuous integration, code reviews, and agile development process (Scrum/Lean).
• Basic data privacy and security principles.
• Interest and/or experience in AI/ML applications, including support for model development or deployment workflows.
• Proactive mindset around exploring emerging technologies in AI and data science to drive innovation.

• Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC.
• Experience with Delta Lake and/or Databricks.
• Hands-on experience with machine learning workflows, including preparing data for AI model training and evaluation.
• Experience with machine learning workflows and data requirements for use with ML frameworks.
• Experience validating data quality, preferably with test automation.
• Experience with containerization using Docker.

Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.