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Associate Data Ops Engineer

Pay not postedBoston, MAOn-siteFull-time

Associate Data Ops Engineers build and scale data and machine-learning pipelines for healthcare client teams, supporting new data integrations and large-scale patient programs.

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At a glance

Posted base pay

Not posted

The work

Builds what the customer runs

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
External customers
Role
Individual contributor

What they ask for

Experience

  • 0+ yearssoftware engineering
  • 2+ yearssoftware engineering

Background

  • Software engineering

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Conditions

Location
Boston, MA
Work arrangement
On-site
Employment type
Full-time

More like this

The job description from N1 Health

Posted by N1 Health on

Data Ops Engineers at N1 Health are tasked with managing the broad complexity of healthcare data and scalably delivering it to end users. In this role, you will work on client-facing teams of data scientists, project managers, and expert staff to deploy our product and add new data sources to enhance our models. You'll own data specifications, schema design, data pipelines, and ML pipelines for the team, and you'll use Python and SQL to automate and scale them. As a client-facing engineer, you'll build scalable pipelines on top of our platform, think creatively about building new tools that add value, and communicate with stakeholders about how best to deploy them to drive meaningful healthcare outcomes.

Technical Requirements

  • We’re looking for motivated teammates who are ready to learn and grow. If you’re passionate about what we do and don’t meet every requirement, we’d still love to hear from you.
  • Bachelor’s degree or education in computer science/related field
  • 0-2 years of prior software engineering experience
  • Proficiency in Python and SQL, or demonstrated ability to learn new languages quickly

The Ideal Fit

  • Strong written and verbal communication skills with internal and client teams
  • Demonstrated ability to work on complex projects with multiple stakeholders
  • Proactive team-player who takes ownership and initiative on a variety of problems
  • Ability to tell a compelling and data-driven story
  • Commitment to understanding the healthcare industry, including data and security requirements

What You Will Do

  • Own feature engineering and data modeling to ensure data is ready for analysis
  • Deploy and scale machine learning pipelines that power large scale patient programs
  • Work directly with client teams to manage data SLAs, documentation, and integration
  • Write well-documented and versioned code that supports repeatable work

We celebrate diversity and are committed to creating an inclusive environment for all employees.

If you are excited about a role but your experience doesn’t seem to align perfectly with every element of the job description, we encourage you to apply. You may be just the right candidate for this, or one of our many other roles.

N1 Health is proud to be an Equal Opportunity Employer. Our vision is to foster an environment in which all N1 Health employees of diverse backgrounds and identities feel supported and empowered through the ongoing development of a shared, inclusive culture. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. For individuals with disabilities who would like to request an accommodation, please email recruiting@n1health.com, and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at equity@n1health.com.

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About N1 Health

Applied AI and data science services help health plans and providers target member outreach and interventions to improve health and financial outcomes.

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