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Equip Health

Data Engineering Lead

Remote US
USD 140k - 206k
SQL Python Terraform API Git AWS
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Description
About Equip:

Equip is a virtual program helping families recover from eating disorders at home with comprehensive, gold-standard care created by experts in the field and people in recovery. Equip five person care teams include dietitians, physicians, therapists, and mentors who deliver wrap-around support to provide families healing and lasting recovery.

We created Equip to increase access to evidence-based treatment for all people affected by eating disorders. In line with this mission, we are committed to partnering closely with insurance companies and ensuring our team, patients, treatment, and brand reflect the diversity of those affected by eating disorders.

About the role:
Data is the backbone of what we are building at Equip–we use it every day to support business processes, measure our success, and inform our decisions. We are looking for a Data Engineering Lead to enable growth and excellence on our team.

As a Data Engineering Lead at Equip, you’ll have opportunities to oversee the evolution of our data infrastructure and pipelines. Your work will guarantee the availability and reliability of the data that Equip needs to improve patient lives. The right person for this role is a strategic thinker; communicates effectively; works comfortably in fast-paced, rapidly changing environments; and delights in mentoring and guiding others. 

Responsibilities

  • Designing and planning data engineering projects
  • Providing hands-on technical guidance to your team
  • Maintaining subject matter expertise in the information systems and types of data at Equip
  • Championing engineering best practices (version control, testing, documentation, logging, continuous integration) and data quality standards
  • Monitoring key quality metrics and identifying opportunities for improvements in our pipelines and infrastructure
  • Ensuring the delivery of high-quality work within expected timelines 
  • Partnering with technical stakeholders to optimize the flow of data across systems

Qualifications

  • 5+ years of Data Engineering experience
  • 1+ years of people management experience
  • Proven ability to empower others through individual attention, engagement, and direct feedback
  • SQL and Python expertise
  • Experience building, maintaining, and orchestrating CI/CD pipelines to collect, process, and store data
  • Experience ensuring the scalability, reliability, and security of cloud based data systems
  • Familiarity with large-scale data ingestion, storage, and processing problems
  • Ability to write clear, maintainable, extensible, and testable code
  • Experience with Terraform / Infrastructure as Code
  • Experience developing, testing, deploying, and retrieving data from APIs
  • Passion for scaling and modernizing systems
  • Familiarity transforming and analyzing structured, semi-structured, and unstructured data
  • Experience with Git / GitHub
  • Experience with cloud infrastructure and AWS services (S3, Glue, Athena)
  • Experience building dashboards, visualizations, and reports using BI tools (Mode, Tableau, PowerBI, Google Data Studio, Quicksight, etc.)
  • 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

Bonus if you have the following:

  • Experience with healthcare data and/or previous experience working in healthtech
  • Experience with data connectors and ingestion tools (Airbyte, Fivetran, etc.)
  • Experience with dbt
  • Experience working with FHIR / HL7
  • Passion for mental health, eating disorder treatment, and expanding access to treatment
Equip is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
Equip Health
Equip Health
Fitness Health Care Personal Health Wellness

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