Principal Data Engineer
Job Description
Tendo, recognized as one of Forbes' Top Startup Employers for 2024 and 2025, is seeking a Principal Data Engineer to join their Engineering team. This role focuses on developing strategic data engineering solutions for healthcare-related data, working with various data sources and transformations. The position involves close collaboration with Data Scientists, Product Managers, and Machine Learning Engineers to support advanced analytics and AI/ML model development.
The ideal candidate will bring 7+ years of data engineering experience and strong expertise in software engineering, data modeling, and ETL pipelines. They'll work with modern technologies including Python, Scala, Apache Spark, and AWS services, while maintaining a forward-thinking approach to healthcare innovation.
Tendo offers a competitive base salary range of $157,250-$212,750, along with equity, annual bonuses, and comprehensive benefits. The company maintains hubs in major cities including San Francisco, San Diego, Salt Lake City, Chicago, Nashville, and Philadelphia, offering hybrid work arrangements.
As a Principal Data Engineer, you'll be instrumental in building tools and solutions for data integration, warehousing, and modeling, enabling the team to experiment with and train machine learning models. The role requires expertise in both structured and unstructured data handling, strong coding skills, and familiarity with modern development practices.
This is an excellent opportunity for a seasoned data engineer who wants to make a meaningful impact in healthcare technology while working with a fast-growing, mission-driven company that prioritizes team culture and innovation.
Responsibilities For Principal Data Engineer
- 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
Requirements For Principal Data Engineer
- 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
- 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
- Basic data privacy and security principles
- Interest and/or experience in AI/ML applications
Benefits For Principal Data Engineer
- Medical insurance
- Dental insurance
- Vision insurance
- Flexible spending and health savings accounts
- Company paid life insurance
- Company paid short-term and long-term disability
- Company equity
- 401(k)
- Company paid holidays
- Flexible time off
- Employee wellness program
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