Tendo

Tendo

Tendo is a healthcare technology company that offers software, analytics, and a next-generation platform to enhance the patient experience, simplify clinician work, and improve health and financial outcomes for providers. They aim to reimagine healthca...

Internet Software & Services
51-250
Founded 2020
$50M raised

Description

  • Collaborate with Data Scientists, Business Intelligence Analysts, Product Managers, and Machine Learning Engineers on data processing and analysis needs.
  • Ingest, transform, and warehouse healthcare-related data from multiple sources.
  • Design, build, and maintain data integration, data warehousing, and data modeling solutions.
  • Develop and maintain ETL pipelines and related data engineering workflows.
  • Optimize data infrastructure and processes for performance and scalability.
  • Create and maintain data documentation and data lineage.
  • Support data engineers and data scientists in training and experimenting with machine learning models.
  • Stay current on emerging data engineering technologies and industry trends.

Requirements

  • 7+ years of experience in data engineering.
  • Extensive experience designing, building, and maintaining ETL pipelines.
  • Strong coding experience in Python or Scala for data processing.
  • Experience with Apache Spark, including PySpark or Scala.
  • Experience with AWS services such as S3, Glue, Athena, and EMR.
  • Experience with data modeling and entity relationship modeling for data warehouses and analytics solutions.
  • Deep understanding of relational and non-relational databases, including SQL and NoSQL.
  • Experience working with unstructured and semi-structured data, including web scraping.
  • Experience in a professional software environment using git, JIRA/Confluence, CI, code reviews, and agile methodologies such as Scrum or Lean.
  • Basic understanding of data privacy and security principles.
  • Interest in or experience with AI/ML applications, including model development or deployment workflows.
  • Knowledge of healthcare data standards such as HL7, FHIR, ICD, SNOMED, and LOINC is preferred.
  • Experience with Delta Lake and/or Databricks is preferred.
  • Hands-on experience with machine learning workflows and data preparation for model training and evaluation is preferred.
  • Experience validating data quality, preferably with test automation, is preferred.
  • Experience with Docker containerization is preferred.

Benefits

  • Base salary range of $157,250 to $212,750.
  • Equity package.
  • Annual bonuses.
  • Full health benefits, including medical, dental, and vision coverage.
  • Flexible spending accounts and health savings accounts.
  • Company-paid life insurance and short-term and long-term disability coverage.
  • 401(k) plan.
  • Company-paid holidays and flexible time off.
  • Employee wellness program (“Breathe”).

Interested in this position?

Apply directly on the company website

Apply Now

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