Software Engineer II

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Mid level
Artificial Intelligence • Big Data • Healthtech • Database • Business Intelligence
We are creating a healthier future by connecting the world with the right doctors.
The Role
As a Data Engineer at H1, you will design, develop, and maintain scalable data extraction frameworks, optimize data pipelines, and work collaboratively with cross-functional teams to ensure data accuracy and reliability. You will manage large datasets, troubleshoot data issues, and contribute to the overall improvement of the data platform.
Summary Generated by Built In

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 H1

As a Data Engineer at H1, you will contribute to the development, optimization, and scaling of our data pipelines and infrastructure. You will collaborate closely with senior engineers, product managers, and cross-functional teams to help build efficient and scalable data solutions. This role is ideal for an engineer eager to deepen their expertise, take ownership of key projects, and contribute to our data platform’s success.


You will:

- Design, develop, and maintain scalable data extraction frameworks to collect data from a variety of diverse sources.

- Continuously improve and enhance the efficiency and reliability of data collection, extraction, and normalization

- Work with large datasets, transforming and processing structured and unstructured data for downstream use.

- Build and maintain efficient, reliable data pipelines and ETL processes and big data tools such as spark

- Collaborate with senior engineers to improve data architecture and infrastructure.

- Support data integration efforts from multiple sources, ensuring consistency and accuracy.

- Troubleshoot data issues, optimize queries, and improve data retrieval performance.

- Document data processes and workflows, ensuring transparency and repeatability.

- Participate in code reviews and contribute to best practices for clean, maintainable code.

- Engage with cross-functional teams to understand business needs and help translate them into data solutions.


ABOUT YOU

You have solid technical skills in data engineering and a passion for building efficient, scalable solutions. You thrive in a collaborative environment, enjoy learning from experienced team members, and are eager to take on increasing responsibility as you grow in the role.


- 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

- 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.



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


Top Skills

Data Engineering
Nlp
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The Company
HQ: New York , NY
500 Employees
On-site Workplace
Year Founded: 2017

What We Do

Access to medicine and healthcare is a basic human right. At H1, we believe access to the best healthcare information is also a basic human right, one that will be more important in the 21st century than ever before.

Our commitment to creating a healthier future for everyone drives us to build and maintain the most current, accurate, and comprehensive healthcare knowledge base available, as well as the tools and intelligence to extract unparalleled insights to carry global healthcare forward.

Why Work With Us

We’re a team of people building products that help solve difficult problems in healthcare. We work through complex challenges every day, navigating ambiguity, wrestling with uncertainty, and pushing the boundaries of what’s possible–all while caring deeply about one another and the people we seek to help.

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