$160,000–$200,000
Associate Data Ops Engineer
Published · Updated
Pay not postedBoston, MAOn-siteJunior
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
Median $200K
Typical not stated FDE payMiddle 50% of 55 postings$164K–$231KThe work
Builds what the customer runs
Balance
- Mostly building
- Mixed
- Mostly pre-sales or support
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation
- Operations
- Coding
- Writes production code
- Builds for
- External customers
- Role
- Individual contributor
What they ask for
Experience
Background
Tools
Less common in FDE jobs
- On-site37%
- Individual contributor or manager: Individual contributor49%
Share of US FDE postings that state each fact.
The job description from algorex
Posted by algorex 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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