<p>Location: US Remote</p><br/><p>Employment Type: Full time</p><br/><p>Team: Data Engineering</p><br/><div><span style="font-size: 16px;">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.&nbsp; Visit&nbsp;</span><a rel="noopener noreferrer" class="postings-link" style="font-size: 16px;" href="http://h1.co/">h1.co</a><span style="font-size: 16px;">&nbsp;to learn more about us.</span></div><div><br></div><div><span style="font-size: 16px;">Data Engineering is responsible for the development and delivery of our most important asset - our data. Looking across thousands of data sources from across the globe, the data engineering team is responsible for making sense out of that data to create the world’s most extensive and comprehensive knowledge base of healthcare stakeholders and the ecosystem they influence. It is our job to ensure that only accurate, normalized data flows through to our customers, and at a velocity that keeps up with the changes in the real world. As we rapidly expand the markets we serve and the breadth and depth of data we want to collect for our customers, the team must grow and scale to meet that demand.</span></div><div><br></div><div><br></div><div><b style="font-size: 16px;">WHAT YOU'LL DO AT H1</b></div><div><span style="font-size: 16px;">As a Staff Data Engineer, you will be the most senior individual contributor as well thought leader working mostly independently on a RWE team. You will play a critical role as a technical expert working as an IC, shaping the technical strategy and architecture of our internal Real World Evidence product. You will have direct founder-level interactions. This position requires a high degree of independence and the ability to navigate and resolve complex technical challenges and dependencies with minimal oversight. Your work will focus on high-priority projects that deliver significant end-user impact, and you will mentor other engineers to achieve their objectives and enhance their technical capabilities. You will also be instrumental in advocating for and implementing best practices and technical excellence across the team.</span></div><div><br></div><div><span style="font-size: 16px;">You will:</span></div><div><span style="font-size: 16px;">- Lead and own some of the key datasets in the RWE team, shaping the strategy and architecture to ensure the smooth development, deployment, and scalability of data pipelines&nbsp; across the tech stack, while aligning with organizational goals.</span></div><div><span style="font-size: 16px;">- influence data product for&nbsp; the dataset you are responsible for&nbsp; by engaging with SME and becoming yourself SME for the domain&nbsp;</span></div><div><span style="font-size: 16px;">- work with 100s of TB data by implementing cost efficient data pipelines.&nbsp;&nbsp;</span></div><div><span style="font-size: 16px;">- Drive your team’s success by providing guidance, removing obstacles creatively, and shaping roadmaps and objectives that support consistent progress.</span></div><div><span style="font-size: 16px;">- Tackle ambiguous and complex technical challenges independently, with minimal need for external support.</span></div><div><span style="font-size: 16px;">- Develop a deep understanding of end-user needs and collaborate cross-functionally to deliver high-impact solutions.</span></div><div><span style="font-size: 16px;">- Focus on high-priority projects (P0s and P1s) that create significant value for users and stakeholders.</span></div><div><span style="font-size: 16px;">- Mentor and support engineers on your team, helping them grow technically and achieve their goals.</span></div><div><span style="font-size: 16px;">- Champion a culture of engineering excellence by promoting best practices, high standards, and continuous improvement.</span></div><div><span style="font-size: 16px;">- Ensure your projects deliver meaningful, measurable outcomes that align with strategic objectives and end-user impact.</span></div><div><br></div><div><br></div><div><b style="font-size: 16px;">ABOUT YOU</b></div><div><span style="font-size: 16px;">You’re a hands-on, visionary data engineering thought leader IC with a strong track record of building scalable systems and pipelines. You work independently, work&nbsp; through complex challenges, and align technical efforts with broader strategic goals. You’re collaborative, proactive, and committed to engineering excellence.</span></div><div><br></div><div><span style="font-size: 16px;">- Skilled in solving complex data problems and delivering innovative solutions.</span></div><div><span style="font-size: 16px;">- Experienced in cross-functional collaboration and strategic alignment.</span></div><div><span style="font-size: 16px;">- Clear communicator with strong technical documentation skills.</span></div><div><span style="font-size: 16px;">- Committed to data quality, security, and best engineering practices.</span></div><div><span style="font-size: 16px;">- Self-driven, with a focus on ownership and risk mitigation.</span></div><div><span style="font-size: 16px;">- Passionate about mentoring and building high-performing teams.</span></div><div><br></div><div><br></div><div><b style="font-size: 16px;">REQUIREMENTS </b></div><div><span style="font-size: 16px;">- 8+ years in data engineering with a track record of building and maintaining scalable data systems and pipelines.</span></div><div><span style="font-size: 16px;">- 5+ years working with big data tools such as Apache Spark, Hadoop, particularly on AWS EMR, with practical hands-on experience in tools like Apache Spark, and Hudi/Delta Lake.</span></div><div><span style="font-size: 16px;">- Experience with databases like PostgreSQL</span></div><div><span style="font-size: 16px;">- Software management tools such as Git, JIRA, and CircleCI</span></div><div><span style="font-size: 16px;">- Developer Operations, deploying to systems like AWS EMR, and Kubernetes</span></div><div><br></div><div><br></div><div><b style="font-size: 16px;">COMPENSATION</b></div><div><span style="font-size: 16px;">This role</span><b style="font-size: 16px;">&nbsp;</b><span style="font-size: 16px;">pays $150,000 to $175,000 per year, based on experience, in addition to stock options.</span></div><div><br></div><div><span style="font-size: 16px;">Anticipated role close date: 08/28/2025</span></div><div><br></div><div><b style="font-size: 16px;">H1 OFFERS</b></div><div><span style="font-size: 16px;">- Full suite of health insurance options, in addition to generous paid time off</span></div><div><span style="font-size: 16px;">- Pre-planned company-wide wellness holidays</span></div><div><span style="font-size: 16px;">- Retirement options</span></div><div><span style="font-size: 16px;">- Health &amp; charitable donation stipends</span></div><div><span style="font-size: 16px;">- Impactful Business Resource Groups</span></div><div><span style="font-size: 16px;">- Flexible work hours &amp; the opportunity to work from anywhere</span></div><div><span style="font-size: 16px;">- The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe</span></div><div><br></div><div><br></div><div><i style="font-size: 16px;">H1 is proud to be an equal opportunity employer that celebrates diversity and is committed to creating an inclusive workplace with equal opportunity for all applicants and teammates. Our goal is to recruit the most talented people from a diverse candidate pool regardless of race, color, ancestry, national origin, religion, disability, sex (including pregnancy), age, gender, gender identity, sexual orientation, marital status, veteran status, or any other characteristic protected by law.</i></div><div><i style="font-size: 16px;">&nbsp;</i></div><div><i style="font-size: 16px;">H1 is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you require an accommodation, please reach out to your recruiter once you've begun the interview process. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.</i></div><div><br></div><div><br></div><div><span style="font-size: 16px;">#H1-HF</span></div>

Location: US Remote

  

Employment Type: Full time

  

Team: Data Engineering

  

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](http://h1.co/) to learn more about us.

  

Data Engineering is responsible for the development and delivery of our most
important asset - our data. Looking across thousands of data sources from
across the globe, the data engineering team is responsible for making sense
out of that data to create the world’s most extensive and comprehensive
knowledge base of healthcare stakeholders and the ecosystem they influence. It
is our job to ensure that only accurate, normalized data flows through to our
customers, and at a velocity that keeps up with the changes in the real world.
As we rapidly expand the markets we serve and the breadth and depth of data we
want to collect for our customers, the team must grow and scale to meet that
demand.

  

  

 **WHAT YOU'LL DO AT H1**

As a Staff Data Engineer, you will be the most senior individual contributor
as well thought leader working mostly independently on a RWE team. You will
play a critical role as a technical expert working as an IC, shaping the
technical strategy and architecture of our internal Real World Evidence
product. You will have direct founder-level interactions. This position
requires a high degree of independence and the ability to navigate and resolve
complex technical challenges and dependencies with minimal oversight. Your
work will focus on high-priority projects that deliver significant end-user
impact, and you will mentor other engineers to achieve their objectives and
enhance their technical capabilities. You will also be instrumental in
advocating for and implementing best practices and technical excellence across
the team.

  

You will:

\- Lead and own some of the key datasets in the RWE team, shaping the strategy
and architecture to ensure the smooth development, deployment, and scalability
of data pipelines  across the tech stack, while aligning with organizational
goals.

\- influence data product for  the dataset you are responsible for  by
engaging with SME and becoming yourself SME for the domain

\- work with 100s of TB data by implementing cost efficient data pipelines.  

\- Drive your team’s success by providing guidance, removing obstacles
creatively, and shaping roadmaps and objectives that support consistent
progress.

\- Tackle ambiguous and complex technical challenges independently, with
minimal need for external support.

\- Develop a deep understanding of end-user needs and collaborate cross-
functionally to deliver high-impact solutions.

\- Focus on high-priority projects (P0s and P1s) that create significant value
for users and stakeholders.

\- Mentor and support engineers on your team, helping them grow technically
and achieve their goals.

\- Champion a culture of engineering excellence by promoting best practices,
high standards, and continuous improvement.

\- Ensure your projects deliver meaningful, measurable outcomes that align
with strategic objectives and end-user impact.

  

  

 **ABOUT YOU**

You’re a hands-on, visionary data engineering thought leader IC with a strong
track record of building scalable systems and pipelines. You work
independently, work  through complex challenges, and align technical efforts
with broader strategic goals. You’re collaborative, proactive, and committed
to engineering excellence.

  

\- Skilled in solving complex data problems and delivering innovative
solutions.

\- Experienced in cross-functional collaboration and strategic alignment.

\- Clear communicator with strong technical documentation skills.

\- Committed to data quality, security, and best engineering practices.

\- Self-driven, with a focus on ownership and risk mitigation.

\- Passionate about mentoring and building high-performing teams.

  

  

 **REQUIREMENTS**

\- 8+ years in data engineering with a track record of building and
maintaining scalable data systems and pipelines.

\- 5+ years working with big data tools such as Apache Spark, Hadoop,
particularly on AWS EMR, with practical hands-on experience in tools like
Apache Spark, and Hudi/Delta Lake.

\- Experience with databases like PostgreSQL

\- Software management tools such as Git, JIRA, and CircleCI

\- Developer Operations, deploying to systems like AWS EMR, and Kubernetes

  

  

 **COMPENSATION**

This role ** ** pays $150,000 to $175,000 per year, based on experience, in
addition to stock options.

  

Anticipated role close date: 08/28/2025

  

 **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

  

  

 _H1 is proud to be an equal opportunity employer that celebrates diversity
and is committed to creating an inclusive workplace with equal opportunity for
all applicants and teammates. Our goal is to recruit the most talented people
from a diverse candidate pool regardless of race, color, ancestry, national
origin, religion, disability, sex (including pregnancy), age, gender, gender
identity, sexual orientation, marital status, veteran status, or any other
characteristic protected by law._

 _ _

 _H1 is committed to working with and providing access and reasonable
accommodation to applicants with mental and/or physical disabilities. If you
require an accommodation, please reach out to your recruiter once you've begun
the interview process. All requests for accommodations are treated discreetly
and confidentially, as practical and permitted by law._

  

  

#H1-HF

