Senior Data Engineer, Graph Databases

Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. We use cutting-edge scientific advancements to empower men and women to take control of their health and unlock their full potential. Our people are the heart of everything we do and drive our success. We approach every project through our brand values:

• Fight for the Customer
• Execute Ruthlessly
• Communicate Candidly, Clearly, and Kindly
• Collaborate Selflessly
• Practice Calculated Risk-Taking
• Maximize Joy and Gratitude

Hone has been fully virtual from day one and will continue to be a remote-first employer.

Our ideal candidate is a mission-driven, motivated multi-tasker who is invested in work that is fulfilling and impactful. They embrace change and tackle challenges with enthusiasm. They have an “all-in” disposition towards work, understanding that we are a fast-paced, high-growth organization with evolving priorities. They can excel at both independent tasks and collaborative work, leading with clear and candid communication. They exhibit humble leadership—the ability to drive initiatives forward while remaining excited about continuous learning and development opportunities. They feel strongly about being part of a team that advocates for people to live longer and better lives.

Hone is looking for a Sr Data Engineer to join our team. In this role, you will report to the Sr. Director, Data, Analytics, and Machine Learning and you will help build the pipelines and infrastructure that power analytics, reporting, and machine learning. You will also build an longevity ontology knowledge graph. You’ll work cross-functionally with engineering, data, and business teams to design and implement reliable, well-tested data pipelines and scalable models. This role is ideal for someone with 5+ years of experience who’s ready to deepen their impact and technical scope in a fast-paced, collaborative environment.

Key responsibilities for this role include (but are not limited to) the following:

• →Build, maintain, and optimize reliable data pipelines using SQL, dbt, and Python.
• →Build, maintain, and optimize an ontology graph database using CosmosDB and Gremlin.
• →Utilize agentic AI to automate pipeline development.
• →Collaborate with Analytics Engineers, Data Scientists, Analysts and Software Engineers to move, transform, and structure data to meet business needs.
• →Implement data testing, observability, and documentation to ensure data reliability and transparency.
• →Participate in sprint planning and project estimation by breaking down work and communicating blockers.
• →Support scalable data model development in the lakehouse, balancing performance, flexibility, and usability.
• →Maintain and improve our data infrastructure, including orchestration and CI/CD pipelines.
• →Identify opportunities to automate manual data workflows and reduce data-related tech debt.
• →Monitor data quality and partner with engineering and product teams to fix upstream issues.
• →Contribute to dbt model development and refactoring, following best practices and company conventions.
• →Manage cloud data environments (e.g., Azure) and optimizing resource usage.
• →Provide thoughtful code reviews and mentor junior teammates on data engineering concepts and tooling.

In order to qualify for this role, candidates must meet the following criteria:

• 5+ years of industry experience in a data engineering, analytics engineering role, or ontology engineering role.
• 1+ years of industry experience building medical ontologies in a graph database (e.g. CosmosDB or Neo4j)
• Strong Python skills for ETL and automation tasks.
• Expert in SQL
• Proficiency in Gremlin
• Proficiency with dbt
• Proficiency with Git
• Experience working in cloud platforms (Azure, AWS, GCP)
• Exposure to event-based data systems (e.g., Kafka, Pub/Sub) or streaming architectures.
• Understanding of data architecture, dimensional modeling, and performance tuning.
• Experience writing CI tests, monitoring pipelines, and debugging data issues independently.
• Experience working in agile, cross-functional teams
• Bonus: Prior exposure to HIPAA or healthcare data
• Ability to multitask, prioritize, and adhere to deadlines while maintaining attention to detail and quality
• Comfortable in a fast-paced, frequently changing environment 
• Creative problem-solving skills with a results-driven mindset
• Can quickly learn new technology systems and communication tools
• Ability to work autonomously and collaboratively