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SalaryAbout Us:
Tens of millions of Americans are unable to manage their chronic conditions with commercial medications. Using specialized compounded formulas tailored for individual patient needs, Henry helps people who have been left behind by the commercial market, all while remaining easy, accessible, and affordable. Our customers get access to the care they need, and save thousands of dollars on out-of-pocket healthcare expenses per year!
Enjoy the casual culture, remote-first workplace, and generous PTO/benefits!
Apply today to make a direct, daily impact in one of the fastest-growing startups in the country - we are excited to meet you!
Summary:
We are seeking a skilled and experienced Data Engineer to join our team. The ideal candidate will have a strong background in Data Engineering with expertise in building code-based solutions for data pipelines. They should have a deep understanding of SQL, Python, cloud infrastructure, and experience in collecting data from various sources, including APIs and webhooks. The candidate should be adept at problem-solving, possess excellent communication skills, and thrive in a collaborative environment.
Responsibilities:
- Build scalable, high-performance data pipelines to support the organization's data needs.
- Utilize solid ETL principles to quickly address any issues related to missing, incorrect, malformed, or unusable data, ensuring analysts can work efficiently.
- Ensure connections to external data sources are secure, stable, and up-to-date.
- Develop and implement monitoring systems for data quality checks and error logging.
- Design and maintain a flexible data model that facilitates rapid development of new analyses.
- Administer access to data-related systems, ensuring appropriate permissions are in place.
- Collaborate with cross-functional teams to understand data requirements and implement solutions accordingly.
- Stay updated on industry trends and best practices in Data Engineering, continuously enhancing skills and knowledge.
Requirements:
- 3+ years of experience in Data Engineering, focusing on code-based solutions for data pipelines.
- 5+ years of professional experience working with data.
- Expert-level proficiency in SQL.
- Proficiency in Python.
- Experience collecting data from varied sources, including APIs and webhooks.
- Familiarity with cloud infrastructure, such as Google Cloud, AWS, or Azure.
Nice to Have:
- Experience in a B2C, ad-driven business model.
- Experience with HIPAA or other sensitive data.
- Familiarity with Python data analysis libraries (e.g., Pandas, Polars, etc.).
- Experience with Google Cloud.
Day-to-Day Duties:
- Build and maintain scalable data pipelines.
- Troubleshoot and resolve data-related issues promptly.
- Ensure data integrity and security.
- Collaborate with team members to understand data requirements and deliver solutions.
- Stay informed about emerging technologies and industry trends.
- Communicate effectively with stakeholders to gather requirements and provide updates on projects.
Henry Meds Offers:
- Employer-paid Platinum Health Insurance + Vision & Dental via Cigna (100% for employee / 50% for dependents)
- 401k with matching contributions beginning your first day
- Unlimited PTO (four weeks minimum)
- Fully remote position with occasional travel.
- Impactful rewarding work as part of a fast-growing brand helping thousands of people every day.
- Please note - light travel may be needed for Henry Meds employees (approx 5-10% annual.)
Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Equal Opportunity Statement:
Henry Meds is committed to promoting an inclusive work environment free of discrimination and harassment. We value a diverse and balanced team where everyone can belong.
