Senior Data Engineer
Job Description
Tendo, recognized as one of Forbes' Top Startup Employers for 2024 and 2025, is seeking a Senior 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 5+ years of experience in data engineering, with strong expertise in Python/Scala, Apache Spark, and AWS technologies. They'll work on creating and maintaining ETL pipelines, data warehousing solutions, and supporting ML model development workflows. The role offers an opportunity to make a significant impact in healthcare technology, working with a fast-growing company that's focused on improving the care journey for patients, clinicians, and caregivers.
The position offers a competitive salary range of $127,500-$172,500, along with comprehensive benefits including medical, dental, and vision insurance, equity package, 401(k), and flexible time off. The company maintains hubs in several major US cities, offering a hybrid work environment. This is an excellent opportunity for someone passionate about data engineering and healthcare innovation to join a mission-driven organization with a strong culture of growth and development.
Responsibilities For Senior 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 Senior Data Engineer
- 5+ 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 Senior 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 (Breathe)
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