Data Engineer
Posted on 10/10/2023
INACTIVE
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