Data Ops Engineer
New York, NY / Boston, MA
Engineering /
Full-Time /
Hybrid
Note: At this time, we are not able to offer visa sponsorship. Candidates must be authorized to work in the United States without the need for current or future sponsorship.
N1 Health is an AI Platform company that helps healthcare organizations prioritize, action, and maximize patient and member interactions. N1 Health’s market-leading Applied AI Platform provides healthcare companies with pre-packaged models, curated third party data, and a secure and scalable technology platform that enables the deployment of targeted services at the individual, household, and neighborhood level. Data science-driven insights lead to relevant, specific, and help-first interventions that optimally connect individuals to resources based on their specific needs and the capacity of the system.
Only 20% of a person’s health outcomes are driven by their interactions with the health care system, the remaining 80% are driven by external factors. We’re working to empower our customers to utilize data science and digital technologies to better serve their most vulnerable members and patients. We’re passionate, creative, and motivated and looking for team members who are the same. We are enthusiastic learners and believe fundamentally that this is a two-way street - we’ll invest in your learning and growth, just as you’ll advance the company’s mission and support our clients through your work.
Role Overview
We are seeking a skilled and motivated Data Ops Engineer to join our Technology Enabled Service Delivery function. In this role you will be tasked with managing the broad complexity of healthcare data and creating scalable solutions to deliver to end users. As a client-facing engineer, you will work on teams of data scientists, project managers, and expert staff to manage and understand client data, and will own data specifications, schema design, data pipelines, and ML pipelines for these teams using Python, SQL and CLI tools to maintain, automate and scale your solutions. In this role, you will also think creatively about building new tools that drive innovation for delivering consistent and reliable results, add value to your N1 teams and clients, and communicate with stakeholders about how best to deploy them to drive meaningful healthcare outcomes..
We are looking for motivated teammates who are ready to learn and grow.
The Ideal Candidate
- Has a demonstrated ability to work on complex projects with multiple stakeholders
- Is a proactive team-player who takes ownership and initiative on a variety of problems
- Has the ability to tell a compelling data-driven story
- Has strong written and verbal communication skills with both technical and non-technical audiences
- Is committed to understanding the healthcare industry, including data, privacy and security requirements
Technical Requirements
- 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
- Proficiency using GitHub for collaborative development
- Familiarity with Agile product development, and tools such as Jira, Confluence, etc.
- Excellent troubleshooting and debugging skills
- Experience working with AWS/Athena or similar cloud computing platforms (a plus)
- Familiarity with Linux/CLI tools (a plus)
$70,000 - $90,000 a year
Bonus
Equity
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.
We celebrate diversity and are committed to creating an inclusive environment for all employees. 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.
