Data Engineer
Posted on 10/10/2023
INACTIVE
Signify Health

1,001-5,000 employees

Healthcare platform optimizing value-based payment programs
Company Overview
Signify Health stands out as a leading healthcare platform, utilizing advanced analytics and technology to drive value-based payment programs, aligning financial incentives with patient outcomes. The company's commitment to holistic care coordination, risk management, and cost-saving measures, coupled with a focus on home-based services, positions it as a pioneer in the industry. With a risk-sharing model that ensures mutual success, Signify Health offers a comprehensive suite of services, expertise, and tools, demonstrating a proven track record in powering success in value-based programs and risk arrangements.
Data & Analytics

Company Stage

Series B

Total Funding

$150M

Founded

2017

Headquarters

Dallas, Texas

Growth & Insights
Headcount

6 month growth

-19%

1 year growth

-15%

2 year growth

-1%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
PowerShell
Microsoft Azure
SQL
CategoriesNew
Data & Analytics
IT & Security
Requirements
  • 7+ years of experience as a Data Engineer
  • 5+ years of experience with ETL tools, bot SSIS and Azure Data Factory
  • 3+ years of experience with C# (preferably .NET Core)
  • 1+ years of experience with PowerShell or other demonstrated scripting experience
  • Excellent problem-solving skills
  • Thorough understanding of T-SQL scripting including but not limited to stored procedures, functions and triggers
  • Proven ability to analyze and provide complex solutions based on business requirements
  • Sense of ownership and pride in your performance and its impact on company success
  • Bachelor's degree in Computer Science, Management Information Systems, Healthcare-related discipline or related field or equivalent work experience
  • Master's degree in above mentioned fields preferred
Responsibilities
  • Build and maintain ETL processes in SSIS and Azure Data Factory
  • Engineer scalable, reliable and performant systems to manage data
  • Develop, implement and optimize stored procedures and functions
  • Independently research and analyze data issues and provide automated solutions
  • Implement new technologies to enhance the optimization of current practices
  • Provide valuable suggestions regarding new ideas and technologies