Tendo - Principal Data Engineer
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Requirements
• 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.
Responsibilities
• 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.
Benefits
• $157,250-$212,750 • This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. • For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
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