Build and manage healthcare data and machine learning pipelines using Python and SQL. Responsibilities include feature engineering, data modeling, schema design, integrating new data sources, documenting and versioning code, scaling pipelines, managing client data SLAs, and collaborating with data scientists, project managers, clients, and healthcare stakeholders.
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 [email protected], and for any questions around diversity, equity, and inclusion, please reach out to the leaders of our internal Equity Group at [email protected].
Similar Jobs
Cloud • Information Technology • Security • Software • Cybersecurity
Leads and develops a regional sales engineering team supporting Zscaler’s core and generative AI portfolio. The role includes recruiting, mentoring, scaling discovery and proof-of-concept processes, partnering with sales and customers on solution design, and driving value-based selling. Candidates need cybersecurity and networking expertise, sales or systems engineering experience, team leadership skills, AI fluency, and the ability to operate in a matrixed go-to-market environment.
Top Skills:
Artificial IntelligenceCoding AssistantsCybersecurityGenerative AiLarge Language ModelsNetworkingSaaSSaseZscaler Zero Trust Exchange
2 Hours Ago
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Leads insurance investment solutions for Liberty Mutual Investments, advising on statutory accounting, NAIC reporting, RBC, regulatory capital, and rating agency treatment. Evaluates investment structures, monitors regulatory and industry trends, recommends portfolio and management actions, and partners with investment, legal, accounting, risk, and regulatory teams. Delivers executive insights on asset allocation and emerging opportunities while directing AI-driven tools using LLMs, APIs, and modern data platforms.
Top Skills:
APIsBlackrock AladdinBloombergExcelLlmsPower BIPowerPointPythonSnowflakeVBA
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Directs strategic PMO services across managed-services portfolios, overseeing project prioritization, governance, resource allocation, transformation delivery, executive reporting, client relationships, business development, process improvement, and leadership development. The role manages complex programs, drives technology-enabled delivery practices, coaches project leaders, and aligns portfolio outcomes with organizational goals and professional standards.
Top Skills:
ClarityConfluenceJIRAPlanview
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
