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
Data Engineering
Data Pipelines
Scalable Architecture
ETL
Claims Data
Real World Evidence
Big Data
Performance Optimization
Reliability Engineering
Cost Optimization
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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