Data Engineer / Senior Data Engineer
ArcadiaSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Healthcare TechnologyIndustries
Requirements
- 8+ years as a software, data, or backend engineer building and operating scalable, production-grade systems
- Experience with large-scale data processing (e.g., Spark/PySpark on EMR or similar) or scalable distributed backend systems, with the ability to quickly deepen expertise in our data stack (PySpark, EMR, Hudi/Delta)
- Strong proficiency in SQL, including writing and optimizing complex queries over large datasets
- Strong programming experience in Python (or a modern language with the ability to quickly ramp up in Python)
- Experience designing [incomplete in description, but implied as designing scalable systems/pipelines]
- Proven track record of leading large, complex technical projects from concept to production
- Deep experience building and evolving large-scale data architectures, pipelines, or distributed systems
- Ability to operate well in high-ambiguity environments, make pragmatic trade-offs, and keep execution moving
- Clear communication with both technical and non-technical partners and influence direction without needing formal authority
- Raises the bar for engineering excellence through thoughtful design, high-quality code, and strong documentation
- Invests in others through mentorship, pairing, and constructive feedback
Responsibilities
- Act as a self-starter who drives execution independently, taking ownership and initiative with minimal need for day-to-day direction
- Lead high-visibility RWE projects, starting with claims data, and keep multiple initiatives moving by proactively unblocking teams
- Own the end-to-end architecture for critical data assets, ensuring solutions are scalable, reliable, and aligned with H1’s long-term vision
- Design, build, and optimize large-scale data pipelines (hundreds of TBs) for performance, reliability, and cost efficiency
- Partner with Product, Data Science, and downstream engineering teams to align priorities, manage dependencies, and deliver high-value outcomes
- Represent engineering in cross-functional forums, shaping roadmaps and reducing reliance on senior leadership for day-to-day decisions
- Develop deep domain expertise and mentor other engineers, helping raise the technical bar and influence the evolution of our data products
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this a remote position or does it require office work?
This information is not specified in the job description.
What salary or compensation can I expect for this Staff Data Engineer role?
This information is not specified in the job description.
What key skills and experience are required for this position?
The role requires a proven track record of leading large, complex technical projects from concept to production, deep experience building and evolving large-scale data architectures, pipelines, or distributed systems, hands-on technical leadership in complex data environments, and the ability to design, build, and optimize large-scale data pipelines for performance, reliability, and cost efficiency.
What is the company culture like at H1?
H1 emphasizes a mission-driven culture focused on health equity and trust in healthcare systems, with teams harnessing data and AI for medical insights and optimal patient outcomes. The environment values self-starters who drive execution independently, provide technical leadership, mentor others, and collaborate across functions.
What makes a strong candidate for this Staff Data Engineer role?
Strong candidates are hands-on technical leaders who thrive in complex data environments, bring clarity to ambiguity, demonstrate strong ownership, collaborate effectively across teams, and have experience leading high-visibility projects and owning end-to-end scalable data architectures.
H1
Healthcare data analytics and research solutions
About H1
H1.co operates in the healthcare technology sector, focusing on connecting healthcare professionals with research and insights. The company provides data-driven solutions that help clients, including healthcare professionals, life sciences companies, payors, and patients, make informed decisions. H1.co's products utilize healthcare data to offer insights for various applications such as clinical trial design and market access. Unlike many competitors, H1.co emphasizes the democratization of healthcare data and offers a free platform, H1 Connect, for accessing expert insights. The company's goal is to enhance the efficiency of healthcare delivery and research by providing accurate and comprehensive data.
New York City, New YorkHeadquarters
2017Year Founded
$181.9MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Biotechnology, HealthcareIndustries
201-500Employees
Risks
Integration of Ribbon Health may lead to data inconsistencies.
AI-driven platforms like GenosAI Pro risk biases in trial designs.
Global expansion through H1 Connect may face regulatory hurdles.
Differentiation
H1 offers a comprehensive healthcare platform connecting diverse stakeholders in real-time.
The company provides AI-enabled data analytics for strategic insights in life sciences.
H1's Trial Landscape platform enhances clinical trial diversity and efficiency.
Upsides
H1's acquisition of Ribbon Health strengthens its data management capabilities.
The partnership with CTI advances diversity and efficiency in clinical trials.
H1's inclusion in the New York Digital Health 100 highlights its innovation.
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