Data Platform Engineer

Clover Health; United States; On-site; USD 160,000 - 180,000; Full time

Job summary

Clover Health is seeking a Data Platform Engineer to enhance our data ecosystem and support analytics and machine learning. You will be at the forefront of developing tools that make data accessible and usable for internal teams and external clients. Candidates should possess strong SQL and Python skills and have experience with data governance and ETL processes.

Benefits

Competitive base salary and equity opportunities

Comprehensive group medical coverage, including dental and optical

Mental health resources and initiatives like No-Meeting Fridays

Learning programs and mentorship

Reimbursement for office setup expenses

Monthly cell phone & internet stipend

Flexibility to work from home

Paid parental leave for all new parents

Qualifications

• 5+ years of experience in ETL programming.
• Healthcare setting experience preferred, especially with Medicare.
• Experience with analytics, data science, and ML collaboration tools valued.

Responsibilities

• Develop data pipelines and tools for analytics and ML initiatives.
• Collaborate with teams to implement Data Warehouse solutions.
• Oversee data modeling, load performance, and query optimization.

Skills

SQL

Python

Data Governance best practices

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

Tools

Snowflake

DBT

Airflow

GCP

AWS

PostgreSQL

Job description

Join to apply for the Data Platform Engineer role at Clover Health

Join to apply for the Data Platform Engineer role at Clover Health

At Clover, the Business Enablement team leads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple: we make it easy for the business to do what’s right for Clover.

We are looking for a Data Platform Engineer to join our team. You will develop data pipelines and tools to support our analytics and machine learning initiatives. Applying insights through data is a core part of our company’s mission, and your work will play a key role in making a wide variety of data easily accessible for internal and external consumers.

Our primary technologies include SQL, Python, and Snowflake. You will collaborate with data analysts, engineers, and healthcare professionals to build tools that improve real people’s health. This role requires extensive experience leading data warehousing projects and advanced knowledge in data cleansing, ingestion, ETL, and data governance.

As a Data Platform Engineer, You Will

• Collaborate closely with operations, IT, and vendor partners to understand the data landscape and contribute to the vision, development, and implementation of our Data Warehouse solution.
• Recommend technologies and tools to support the future-state architecture.
• Develop standards, processes, and procedures aligned with best practices in data governance and management.
• Oversee logical and physical data modeling, load performance, and query optimization.
• Develop new and secure data feeds with external parties and internal applications.
• Perform regular analysis, QA, and troubleshooting of ETL processes, diagnosing issues and recommending corrective actions.
• Work cross-functionally to support the design, development, implementation, monitoring, and maintenance of new ETL programs.
  
  

Success In This Role Looks Like

• In the first 90 days:
• Develop a strong understanding of our existing data ecosystem and pipelines.
• Build relationships with various stakeholders to understand their day-to-day operations and data needs.
• Contribute to the design and implementation of new ETL programs to support business growth and operational efficiency.
• Perform root cause analysis for identified issues and propose solutions for both short-term fixes and long-term improvements to enhance the stability and accuracy of our pipelines.
• In the first 6 months:
• Provide feedback and propose process improvements for data engineering operations.
• Work with platform engineers to improve data ecosystem stability, quality monitoring, and governance.
• Lead discussions with key stakeholders and propose, design, and implement new data engineering projects that solve critical business problems.
• Long-term success:
• Enhance and maintain ETL programs and data assets.
• Serve as the technical lead for the data engineering squad’s day-to-day operations.
• Mentor and guide junior team members.
  

You Should Get In Touch If

• You have a Bachelor’s degree in Computer Science, Information Systems, or a related field and 5+ years of experience in ETL programming.
• You have professional experience in a healthcare setting (Health Plan knowledge is highly desired; Medicare experience is preferred).
• You have expertise in most of the following technologies:
• Python
• Snowflake
• DBT
• Airflow
• GCP / AWS / BigQuery
• PostgreSQL
• Data Governance best practices
• You have some experience with analytics, data science, and ML collaboration tools (e.g., Tableau, Mode, Looker).
  

Benefits Overview

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
• Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
  
  

Additional Perks

• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Flexibility to work from home, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!
  
  

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, perspectives, opinions, 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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

A reasonable estimate of the base salary range for this role is $160k to $180k. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care

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