Staff Data Engineer

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. 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 both a technical leader and a engineering manager within the Data Engineering team driving the strategic direction and development of scalable data architectures on the AWS platform. You will play a critical role in setting both the product and platform direction for our organization. This position requires a high degree of independence and the ability to navigate and resolve complex technical and dependency challenges with minimal oversight. Your work will focus on high-priority projects that deliver significant end-user impact and you will mentor and lead 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 the technical direction for your team’s work setting the strategic vision for our data infrastructure and ensuring alignment with organizational goals

- Play an active role in defining the product and platform direction influencing decisions that impact the broader organization

- Navigate ambiguous and complex technical challenges independently requiring minimal external assistance

- Understand the complete spectrum of end-user needs and collaborate with cross-functional teams to deliver impactful solutions.

- Focus on high-priority projects (P0s or P1s) that drive significant value for our users and stakeholders

- Mentor lead and guide engineers within your team helping them achieve their objectives and elevate their technical skills

- Advocate for and drive technical changes and best practices within the team raising the engineering bar and fostering a culture of continuous improvement

- Act as a cultural carrier for the engineering team promoting a high standard of excellence and a commitment to better engineering practices

- Ensure that the projects you work on have a clear end-user impact and are aligned with strategic goals and be accountable for delivering meaningful outcomes

ABOUT YOU

You have strong hands-on technical skills including extensive expertise in data engineering with significant experience in building and managing big data systems pipelines and reporting solutions. You are a visionary leader capable of guiding the team through complex projects and inspiring innovation and excellence. You are collaborative reliable and a cultural contributor who fosters an inclusive and diverse work culture aligning with H1’s values by helping to cultivate a growth mindset through constructive feedback and support for your team. You are committed to thorough documentation enabling the continuity and evolution of your work within the team.

REQUIREMENTS

- 8+ years of experience in data engineering with significant experience in building and managing big data systems pipelines and reporting solutions.

- 8+ years working with advanced big data technologies like Spark or Hadoop particularly on AWS EMR with practical hands-on experience in tools like Apache Spark Hudi or Delta Lake.

- Expertise in data processing technologies such as Spark Streaming Kafka Streams and KSQL along with a deep understanding of distributed file formats like AVRO and Parquet.

- Proficiency in AWS cloud services and ecosystems with a preference for experience in AWS data solutions.

- A demonstrated commitment to data quality and security with the ability to lead efforts in these areas.

- Ability to deconstruct and resolve complex data engineering challenges with innovative solutions.

- Familiarity with the ELK stack is a plus but not mandatory.

COMPENSATION

This role pays $155000 to $180000 per year based on experience in addition to stock options.

Anticipated role close date: 10/03/2024

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.