About Hone
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
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.
Analytics Engineer or Data Engineer Building medallion architecture in dbt/microsoft fabric to support self serve data analytics. Building data ingestion pipelines. Establishing governance, lineage, documentation, quality checks. Requires dbt, sql, pyspark, python.
Summary: We are seeking an experienced Analytics Engineer or Data Engineer to develop and implement a medallion architecture using dbt and Microsoft Fabric. The role involves building robust data ingestion pipelines and supporting self-serve data analytics. The successful candidate will play a critical role in establishing data governance, lineage, documentation, and quality checks.
Responsibilities:
- Design and build medallion architecture in dbt and Microsoft Fabric to enhance data analytics capabilities.
- Create and maintain data ingestion pipelines to ensure efficient data flow and integration.
- Establish data governance protocols, ensuring compliance with industry standards and best practices.
- Implement data lineage and documentation to facilitate data traceability and transparency.
- Develop and enforce data quality checks to maintain the integrity and accuracy of data assets.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Qualifications:
- Proven experience with dbt, SQL, PySpark, and Python.
- Strong understanding of data engineering principles and best practices.
- Experience in building data architectures, specifically medallion architectures.
- Familiarity with Microsoft Fabric or similar data platform technologies.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
Benefits*
Hone wants our team to be in the best condition of their lives, so we offer a range of benefits including:
- 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 for exempt employees
- 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
*These benefits are available to full-time, regular employees, and not to independent contractors, part-time employees, temporary employees, or interns.
We are proud to be an equal-opportunity workplace committed to building a team culture that celebrates diversity and inclusion. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions. Please contact us to request accommodation.
Similar Jobs
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
