Data Engineer

Description:

Pair Team is on a mission to improve the wellbeing of underserved communities by connecting them to high-quality care.

Pair Team cares for the highest-need Medicaid recipients through a community-led model. We build local partnerships with shelters, food pantries, and other community-based organizations to turn them into a site of care. As a support system for the community, we provide wraparound clinical services, up-skill CBO staff to become Community Health Workers, and utilize our proprietary data-driven technology platform, Arc, for care coordination. Through Medicaid MCOs, we provide healthcare for hard-to-reach, high-need individuals, while sharing healthcare dollars with community groups to expand their social support programs.

Our Values

Lead with integrity: We keep our commitments and take responsibility for our actions. We are dependable and choose authenticity over perfection.
Embrace challenges: We leave our egos at the door and step forward into discomfort instead of back into safety. We help each other to learn and provide feedback using candor and kindness.
Break through walls: We go the extra mile for our patients, partners and one another, and we run toward hard things. We are resilient in our push for consistent improvement and challenge the status quo.
Act beyond yourself: We build each other up and respect boundaries. We seek first to understand and assume positive intent.
Care comes first: We hold ourselves to the highest standards for our patients. We are relentless in the pursuit of our mission, and ensure that we are taking care of ourselves in order to care for others.

In the News

Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most
TechCrunch: Building for Medicaid’s regulatory moment with Neil Batlivala from Pair Team
Axios: Pair Team collects $9M for Medicaid-based care

About the Opportunity

We are seeking an experienced Data Engineer to own data engineering outcomes for our Tech team. We are a force multiplier, owning the data, analysis, and knowledge infrastructure that enables ourselves and our teammates to move faster and smarter. In this role you will have the ability to focus on the critical data problems at our company today, and play an instrumental part in impacting our future growth.

Your mission will be to empower decision making with data, maintain data integrity and security, enable scalability and agility. Your work includes ingesting data, building ETL pipelines and creating services and tools for others to use data more efficiently. You will work on developing and enhancing our data infrastructure, defining processes for data monitoring and alerting as well as maintaining data integrity in our data ecosystem. You will work with cross functional teams and internal stakeholders to define requirements and build solutions to meet the requirements. You will work with other engineers to ensure that our data platform and infrastructure are scalable and reliable.

This is a fully remote position.

What You’ll Do

Collaborate with product managers, data scientist, engineers, clinical leaders and operational leaders to define requirements and data specifications and translate them into technical solutions
Develop, deploy and maintain data processing pipelines, datasets, and other solutions to support operational and product outcomes
Define and manage overall schedule and availability for a variety of data sets
Work closely with other engineers to enhance infrastructure, improve reliability and efficiency
Make smart engineering and product decisions based on data analysis and collaboration
Act as in-house data expert and make recommendations regarding standards for code quality and timeliness
Architect cloud-based data infrastructure solutions to meet stakeholder needs
Develop support systems to scale the team and achievable outcomes

What You’ll Need

Strong desire to work in an early stage startup environment that is fast paced, complex, and has minimal barriers to make decisions (no “red tape”)
You have 4+ years of professional experience working with data pipelines, products, and tools and have built and maintained complex data integrations or pipelines
Experience working in a fast-paced startup environment OR experience working in a data-centric healthcare role
An undergraduate degree in Engineering, Computer Science, another equivalent field or experience
Familiarity with statistical modeling and some/all of the following: regression analysis, clustering, and decision trees
A well-developed opinion on modern data infrastructure, tools, and patterns.
Excellent technical vision; you know the right architecture and patterns to build functional, durable, and maintainable product and able to make the right trade-offs when considering project scope
Experience with products that automate or streamline complex workflows
Ownership mindset – own driving results for the mission, business, and customer experience through technical solutions
Strong collaboration skills with thought partners from engineering, design, product, operations, clinical and executive leadership
Clear and concise communication
Passion for helping individuals experiencing complex chronic needs such as homelessness, severe mental illness, and substance use disorder