Contract Data Engineer

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.

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. 

• →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.

• 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.