H1 Insights hiring Sr. Data Engineer • Remote (Work from Home) | Himalayas
H1 InsightsHI

Sr. Data Engineer

Creating a healthier future. At H1 we are creating a healthier future by delivering a platform that connects stakeholders across the healthcare ecosystem for greater collaboration and discovery.

H1 Insights

Employee count: 51-200

India only
At H1, we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit h1.co to learn more about us.
Data Engineering is responsible for the development and delivery of our most important asset—our data. With thousands of data sources from around the world, the team ensures that data is accurate, normalized, and delivered at a velocity that keeps up with real-world changes. As we expand our markets and the scope of data we provide to our customers, our team must scale to meet that demand.
WHAT YOU'LL DO AT H1We’re looking for a seasoned Senior Data Engineer who is operating at a high level and is either ready or nearly ready to step into a Staff-level individual contributor role. You will take ownership of designing and scaling the systems and pipelines that power H1’s data platform. You will work cross-functionally with other engineers, product managers, and stakeholders to deliver high-performance, reliable, and maintainable data solutions. This is an opportunity to play a key role in shaping the future of our data infrastructure while mentoring others and driving best practices.
You will:- Design, develop, and maintain scalable data extraction frameworks that ingest structured and unstructured data from diverse sources.- Build and optimize robust ETL/ELT pipelines using big data technologies, especially Apache Spark on cloud platforms (preferably AWS EMR).- Improve the efficiency, reliability, and performance of data processing systems through thoughtful design and continuous optimization.- Transform, clean, and normalize complex datasets for downstream use, ensuring high standards of data quality and consistency.- Partner with senior engineers to evolve H1’s data architecture and infrastructure in support of product and platform scalability.- Lead data integration efforts across multiple systems, ensuring accuracy and seamless collaboration across teams.- Monitor and troubleshoot data flows and pipelines, proactively identifying and resolving performance issues.- Maintain clear documentation of systems, workflows, and processes to promote transparency and operational excellence.- Participate in code reviews and promote a culture of engineering excellence, mentorship, and continuous improvement.- Collaborate closely with cross-functional teams to align technical execution with business goals
ABOUT YOU
You are a seasoned data engineer with a track record of building and maintaining large-scale data systems. You’re excited by the opportunity to work on complex problems, enjoy collaborative work, and are passionate about building high-quality, performant solutions that impact real-world healthcare outcomes.
- You have an understanding of Large Language Models (LLMs) and their applications.- It’s a bonus if you’re familiar with model training and fine-tuning, particularly in NLP (Natural Language Processing) contexts.- You possess a basic knowledge of network, security, and encryption protocols such as HTTP/HTTPS/TLS.- You’re able to work collaboratively across teams and communicate effectively with both technical and non-technical stakeholders.- You have strong analytical and problem-solving skills with a focus on data quality and performance optimization.- You have a passion for writing clean, efficient code and following best practices
REQUIREMENTS
- 6+ years of experience in data engineering, working with large-scale data systems and pipelines.- Proficiency in programming languages like Python, Java, or similar languages.- Strong SQL skills, including the ability to write optimized complex queries for large datasets using advanced SQL operators such as GROUP BY, HAVING, window functions, and complex joins.- Experience with big data tools like Apache Spark, particularly on cloud platforms, with a preference for AWS EMR.- Experience with Docker or other containerization technologies.

Not meeting all the requirements but still feel like you’d be a great fit? Tell us how you can contribute to our team in a cover letter! H1 OFFERS- 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- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe

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Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

India +/- 0 hours

About H1 Insights

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Creating a healthier future.

At H1 we are creating a healthier future by delivering a platform that connects stakeholders across the healthcare ecosystem for greater collaboration and discovery.

H1 is the first company to arm healthcare and life science companies with on-demand, live insights from across the data universe to accelerate the discovery and development of therapies to fight diseases. The company provides real-time data to support the end-to-end therapeutic development process from fundraising to product development to product launch, helping companies make smarter scientific decisions.

Working with medical affairs and strategy teams who span all phases of the development lifecycle, H1 provides the complete picture of institutions, experts, scholarly content, markets, competitors and new opportunities through research grounded in actual data and clinical findings.

Employee benefits

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Healthcare benefits

Medical, dental, and vision insurance for employees and dependents.

Learning and development budget

Learning and development budget per year stipend to grow your skills.

Flexible working hours

We accommodate all kinds of lifestyles and life stages. Come work on your terms.

Unlimited time off

Take as much time off as you want as long as it doesn't interfere with your ability to do your work.

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H1 Insights

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