Senior Data Engineer
Confirmed live in the last 24 hours
Tendo

51-200 employees

Healthcare software connecting patients, clinicians, caregivers
Company Overview
Tendo stands out in the healthcare industry by leveraging advanced software to bridge the gap between patients, clinicians, and caregivers, ensuring a smooth and intelligent care journey. Their unique competitive advantage lies in their CDI analytics, which not only helps clinicians get recognition for their work but also uncovers opportunities for quality improvement and revenue increase. Tendo's commitment to user-friendly experiences and quality healthcare positions them as a leader in their field.
B2B

Company Stage

Series B

Total Funding

$187.6M

Founded

2020

Headquarters

Philadelphia, Pennsylvania

Growth & Insights
Headcount

6 month growth

22%

1 year growth

50%

2 year growth

95%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
Agile
NoSQL
Git
Apache Spark
SQL
AWS
JIRA
Confluence
Data Analysis
CategoriesNew
Data & Analytics
Requirements
  • 5+ years of experience in data engineering
  • Experience with Epic’s data and analytics stack (Cogito)
  • Experience with Microsoft SQL and Azure products
  • Extensive experience in the design, build, and maintenance of data ETL pipelines
  • Extensive knowledge of coding in SQL with a focus on data processing
  • 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)
  • Working knowledge of basic data privacy and security principles
Responsibilities
  • Build, maintain, and monitor complex ETL/ELT (SSIS) jobs and data extracts
  • 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
Desired Qualifications
  • Experience with AWS technology stack (S3, Glue, Athena, EMR, etc.)
  • Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC
  • Experience with Delta Lake and/or Databricks
  • Experience using Apache Spark (PySpark or Scala)
  • 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