Data Engineer I

About Equip 

Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans. Learn more about our strong outcomes and treatment approach at www.equip.health.

Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equisters that have created Equip’s culture.  Recognized by Time as one of the most influential companies of 2023, along with awards from Linkedin and Lattice, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families.

About the role:

Data is the backbone of what we are building at Equip–we use it everyday to support business processes, measure our success, and inform our decisions. We are looking for a Data Engineer to join us in creating solutions that yield meaningful insights, improve patient lives and help Equip grow.

As a Data Engineer at Equip, you'll champion engineering best practices and maintain a scalable platform that supports reporting and analyses across all our business domains–including Clinical Operations, Growth & Strategy, Product, and more. The right person for this role is a quick learner, analytical thinker, effective communicator, is detail oriented, works comfortably in fast-paced environments, and collaborates well with others.

Responsibilities:

• Build and maintain robust data models to support various business needs and reporting requirements.

• Ensure our data infrastructure reliably delivers high-quality data to analytics platforms and business systems.

• Design and implement data models to facilitate accessibility and efficient use by all teams within the company.

• Expand and optimize our data infrastructure as necessary to support new data sources and advanced analytical tools.

• Collaborate with Data Analysts, Data Scientists and Machine Learning Engineers to enhance the data platform and power business decision making.

• Contribute to efforts in optimization, documentation, testing, and tooling to significantly improve data quality and provide greater autonomy to data consumers.

• Perform other duties as assigned.

Qualifications:

• Bachelor's degree in a relevant technical or analytical discipline such as Computer Science, Information Technology, Business Analytics, or Management Information Systems.

• 2+ years of experience in a Data Engineer, Software Engineer, or a similar technical role.

• Demonstrated real-world or academic experience building large-scale data models, including a strong understanding of normalization concepts and the differences between Analytics and Transactional Database systems.

• Proficient in SQL and at least one programming language such as Python or Java.

• Ability to write clear, maintainable, extensible, and testable code.

• Experience interpreting and contextualizing data.

• Experience communicating and collaborating with diverse teams.

• Organized and results-driven.

• Comfortable in a fast-paced environment that is subject to rapid change and innovation.

Benefits

Time Off:

• Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays.

Medical Benefits:

• Competitive Medical, Dental, Vision, Life, and AD&D insurance.

• Equip pays for a significant percentage of benefits premiums for individuals and families.

• Maven, a company paid reproductive and family care benefit for all employees.

• Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more!

Other Benefits

Work From Home Additional Perks:

• $50/month stipend added directly to an employee’s paycheck to cover home internet expenses.

• One-time work from home stipend of up to $500.

Physical Demands

Work is performed 100% from home with requirement to travel once or twice a year for in-person meetings. This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed.

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At Equip, Diversity, Equity, Inclusion and Belonging (DEIB) are woven into everything we do. At the heart of Equip’s mission is a relentless dedication to making sure that everyone with an eating disorder has access to care that works regardless of race, gender, sexuality, ability, weight, socio-economic status, and any marginalized identity. We also strive toward our providers and corporate team reflecting that same dedication both in bringing in and retaining talented employees from all backgrounds and identities. We have an Equip DEIB council, Equip For All; also referred to as EFA. EFA at Equip aims to be a space driven by mutual respect, and thoughtful, effective communication strategy - enabling full participation of  members who identify as marginalized or under-represented and allies, amplifying diverse voices, creating opportunities for advocacy and contributing to the advancement of diversity, equity, inclusion, and belonging at Equip.

As an equal opportunity employer, we provide equal opportunity in all aspects of employment, including recruiting, hiring, compensation, training and promotion, termination, and any other terms and conditions of employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, familial status, age, disability, weight, and/or any other legally protected classification protected by federal, state, or local law. 

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