Hone Health ยท 3 days ago
Senior Data Engineer, Graph Databases
Hone is an online medical clinic at the forefront of transforming healthcare and enhancing longevity. They are seeking a Senior Data Engineer to build and optimize data pipelines and infrastructure for analytics and machine learning, while collaborating across teams to ensure data reliability and transparency.
EnergyWellness
Responsibilities
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
Qualification
Required
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
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
Preferred
Bonus: Prior exposure to HIPAA or healthcare data
Benefits
A remote-first work environment
Competitive compensation and equity options
Health, dental, and vision insurance coverage
Short-term disability and basic life coverage
Flexible Spending Accounts (FSAs)
Lifestyle Spending Accounts (LSAs)
We follow federal holidays and have uncapped time off
Budget for the technology tools you need (laptop, monitor, and/or special software)
A focus on company-sponsored activities to foster engagement (both virtual and in-person)
Waived membership fees for any Hone team members utilizing Hone products
Company
Hone Health
Hone Health is on a mission to help everyone live in a world where age is not a limit.
H1B Sponsorship
Hone Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
Funding
Current Stage
Early StageRecent News
2022-05-26
Company data provided by crunchbase