Senior Data Engineer

Humana Inc.
Louisville, United States of America
19 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Louisville, United States of America

Tech stack

API
Amazon Web Services (AWS)
Business Analytics Applications
Azure
Big Data
Computer Engineering
Continuous Integration
Python
Machine Learning
NumPy
TensorFlow
Software Organization
Data Processing
Google Cloud Platform
Cloud Platform System
PyTorch
Flask
GIT
FastAPI
Pandas
Containerization
PySpark
Scikit Learn
Kubernetes
REST
Software Version Control
Data Pipelines
Docker
Databricks

Job description

Duties: Design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. Work with a teams of machine learning developers and data scientists with deep experience in Humana's offerings and health care data. Develop data driven applications. Clinical intervention programs, member facing applications, and internal productivity applications. Continually refine and elevate the team standards and development patterns with new and emerging technology and ideas. Build bulletproof test suites around the applications you're developing to enable rapid and quality releases. 100% Telecommuting permitted within the US.

Requirements

1 year of experience as a Data Engineer, Developer or related occupation., Master's degree in Computer Engineering or a related field., This position requires a Master's degree in Computer Engineering or a related field, plus 1 year of experience as a Data Engineer, Developer or related occupation.

This role requires 1 year of experience in each of the following:

  • Programming in Python.

  • Cloud Platform including AWS, Google Cloud or Azure.

  • Docker Containerization including Docker or Kubernetes.

  • CI/CD Pipeline Design.

  • API frameworks including FastAPI or Flask.

  • RESTful API concepts.

  • version control systems including Git.

  • software development best practices.

  • Machine Learning Framework including TensorFlow, PyTorch or Scikit-learn.

  • Data Pipeline Development.

  • data manipulation libraries including Pandas or NumPy.

  • Application Programming Interface (API) Development.

  • PySpark for processing large datasets.

  • Databricks.

In lieu of a Master's degree in Computer Engineering or a related field, plus 1 year of experience as a Data Engineer, Developer or related occupation. Employer will alternatively accept a Bachelor's degree in Computer Engineering or a related field, plus 3 years of experience as a Data Engineer, Developer or related occupation.

This role requires 3 years of experience in each of the following:

  • Programming in Python.

  • Cloud Platform including AWS, Google Cloud or Azure.

  • Docker Containerization including Docker or Kubernetes.

  • CI/CD Pipeline Design.

  • API frameworks including FastAPI or Flask.

  • RESTful API concepts.

  • version control systems including Git.

  • software development best practices.

This role requires 2 years of experience in each of the following:

  • Machine Learning Framework including TensorFlow, PyTorch or Scikit-learn.

  • Data Pipeline Development.

  • data manipulation libraries including Pandas or NumPy.

  • Application Programming Interface (API) Development.

  • PySpark for processing large datasets.

  • Databricks.

Pre-employment background check and drug screening required.

Apply for this position