Data Engineer
Date Posted
07 Oct, 2021
Work Location
Salary Offered
S$7000 — S$14000 monthly
Job Type
Experience Required
1+ years
Remote Work
Not Allowed
Stock Options
No
Vacancies
1 available
Clover is reinventing health insurance by working to keep people healthier.
We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare.
Clover's Data Science team is charged with applying our data—our most important asset—to produce value for our members. From observing how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out automated and statistical insights central to executing our main mission. We build the machine learning models and expert systems that back our operational processes and web applications while designing and running experiments and generating studies to facilitate good decisions and demonstrate impact. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”
We build the machine learning models and expert systems that back our operational processes and web applications while designing and running experiments and generating studies to facilitate good decisions and demonstrate impact.
The Job:
We are looking for a Data Engineer to join our team. You'll be building data pipelines and tools to support our analytics and machine learning development. Applying insights through data is a core part of our thesis as a company — and you will be joining a team that is a central part of helping to deliver that promise through making a wide variety of data easily accessible for internal and external consumers. We work primarily in Python and our data is stored primarily in Postgres. You will work with data scientists, other engineers, and healthcare professionals in a unique environment building tools to improve the health of real people.
As a Data Engineer, you will:
• Develop new systems and tools to enable data science
• Design and build data pipelines that take these things seriously:
• Architect data models and systems that accurately and reliably provide Clover Health's primary data for data science needs
• Be at the forefront of comprehending useful data engineering tools and best practices
• Pledge to simplifying the complexities of healthcare by building robust data systems that multiply human efforts
• Produce tested, maintainable code to help all of the above
You should get in touch if:
• You are excited by big, complicated problems and try to solve them with creative, elegant, and simple solutions. You have a natural intellectual curiosity that drives you to find out how things work and if they can work better
• You care about quality but also have a pragmatic approach to software that prioritizes delivering value continuously. You understand there is a time and place for optimizing for shipping throughput vs. optimizing for robustness that survives gnarly edge cases
• You value collaboration and feedback. You can communicate technical vision in clear terms— to your peers as well as outside of the engineering team. You are willing and able to help your teammates grow by demonstrating best practices, providing (and receiving) respectful and constructive feedback, and sharing your unique insights with everyone
• You enjoy working in a fluid environment, defining and owning priorities that adapt to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind
• You are quick to jump in to help fix things that are broken and you enjoy making sustainable systems you have built. You are happy to fill in the gaps to reach a goal where necessary, even if it is outside of your job description
• You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry
About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
We value diversity — in backgrounds and in experiences. Healthcare is a universal concern, and we need people from all backgrounds and swaths of life to help build the future of healthcare.
Clover's Data Science team is charged with applying our data—our most important asset—to produce value for our members. From observing how the member experience impacts clinical outcomes to making our home visits more efficient and effective, our team pushes out automated and statistical insights central to executing our main mission. We build the machine learning models and expert systems that back our operational processes and web applications while designing and running experiments and generating studies to facilitate good decisions and demonstrate impact. And our impact is tremendous: you'll be able to point to one of our members and say, “I helped make that person's life better.”
We build the machine learning models and expert systems that back our operational processes and web applications while designing and running experiments and generating studies to facilitate good decisions and demonstrate impact.
The Job:
We are looking for a Data Engineer to join our team. You'll be building data pipelines and tools to support our analytics and machine learning development. Applying insights through data is a core part of our thesis as a company — and you will be joining a team that is a central part of helping to deliver that promise through making a wide variety of data easily accessible for internal and external consumers. We work primarily in Python and our data is stored primarily in Postgres. You will work with data scientists, other engineers, and healthcare professionals in a unique environment building tools to improve the health of real people.
As a Data Engineer, you will:
• Develop new systems and tools to enable data science
• Design and build data pipelines that take these things seriously:
• Architect data models and systems that accurately and reliably provide Clover Health's primary data for data science needs
• Be at the forefront of comprehending useful data engineering tools and best practices
• Pledge to simplifying the complexities of healthcare by building robust data systems that multiply human efforts
• Produce tested, maintainable code to help all of the above
You should get in touch if:
• You are excited by big, complicated problems and try to solve them with creative, elegant, and simple solutions. You have a natural intellectual curiosity that drives you to find out how things work and if they can work better
• You care about quality but also have a pragmatic approach to software that prioritizes delivering value continuously. You understand there is a time and place for optimizing for shipping throughput vs. optimizing for robustness that survives gnarly edge cases
• You value collaboration and feedback. You can communicate technical vision in clear terms— to your peers as well as outside of the engineering team. You are willing and able to help your teammates grow by demonstrating best practices, providing (and receiving) respectful and constructive feedback, and sharing your unique insights with everyone
• You enjoy working in a fluid environment, defining and owning priorities that adapt to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind
• You are quick to jump in to help fix things that are broken and you enjoy making sustainable systems you have built. You are happy to fill in the gaps to reach a goal where necessary, even if it is outside of your job description
• You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry
About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
About Clover Health
Healthcare technology company helping members live with our Medicare Advantage Plans
Company Size: Not Specified
Year Founded: Not Specified
Country: United States
