Staff Data Engineer

🕒 June 3

🏢🏡 New York City – Hybrid

💵 $170k - $190k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

H1

WebsiteLinkedInAll Job Openings

201 - 500 employees

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧬 Biotechnology

Healthcare Insurance • Artificial Intelligence • Biotechnology

H1 is a global healthcare intelligence company that connects life sciences, payors, providers, and patients to AI-enabled data analytics and groundbreaking research to advance medicine. It provides enterprise solutions like HCP Universe, Trial Landscape, and Precise, helping healthcare professionals to access accurate and comprehensive data for clinical trials, scientific research, and medical affairs. H1 empowers medical missions and humanitarian work through H1 Connect and enhances diversity and inclusion in clinical trials by providing insights to improve patient diversity and site performance. The company plays a key role in enabling access to healthcare information and evidence-based medicine globally.

📋 Description

• 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.

🎯 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 systems or large-scale datasets/pipelines with attention to performance, reliability, and maintainability. • Hands-on experience with modern engineering workflows and tooling such as Git, JIRA, and CI/CD systems (e.g., CircleCI). • Comfort deploying and troubleshooting distributed workloads in cloud environments such as AWS EMR or Kubernetes. • Experience with workflow orchestration or job scheduling tools (e.g., Airflow, Argo). • Demonstrated ability to independently drive complex, cross-team technical initiatives and influence stakeholders without formal authority. • Experience with streaming/messaging technologies (e.g., Kafka, Kinesis) nice to have • Background in RWE, healthcare data, or other complex/regulated data domains is preferred • Experience using AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate development while maintaining quality is encouraged

🏖️ Benefits

• Full suite of health insurance options, in addition to generous paid time off • Pre-planned company-wide wellness holidays • Retirement options • Health & charitable donation stipends • Impactful Business Resource Groups • Flexible work hours & the opportunity to work from anywhere