Senior Data Engineer
To see similar active jobs please follow this link: Remote Development jobs
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 Senior Data Engineer at H1, you will play a key role in shaping and delivering our data engineering initiatives. You are expected to work independently, handle complex data engineering challenges, and ensure your work drives significant impact. You will align closely with the end-user needs, prioritize effectively, and collaborate across teams to deliver robust data solutions. Your ability to see the big picture and raise project risks early will be crucial to the success of our projects. You will mentor junior engineers and contribute to setting high engineering standards across the team.
You will:
- Understand end-user needs and ensure that your work directly contributes to delivering impactful solutions. Collaborate with Product Managers and team leads to prioritize tasks that enhance user experience and meet strategic goals.
- Work autonomously on projects, demonstrating the ability to unblock yourself and drive tasks to completion with minimal guidance.
- Maintain a big-picture perspective and coordinate work that spans multiple teams, ensuring alignment with overall organizational objectives.
- Identify and communicate project-level risks early, working proactively to mitigate issues and ensure successful project delivery.
- Lead the “Understand” phase of projects, producing comprehensive documentation and aligning with relevant stakeholders on technical requirements and project scope.
- Decompose OKRs into actionable tasks and collaborate with junior engineers to ensure they have a clear understanding of their work.
- Partner with PMs and technical leads to prioritize initiatives that maximize end-user impact and organizational benefit.
- Uphold high standards for clean code, thorough code reviews, and robust technical designs. Drive the adoption of best practices and continuous improvement within the engineering team.
- Provide guidance and mentorship to junior engineers, focusing on enhancing their technical skills and maintaining a high engineering bar.
ABOUT YOU
You have strong hands-on technical skills, including substantial experience in data engineering with a track record of building and maintaining scalable data systems and pipelines. You are proactive, independent, and capable of managing tasks and projects with minimal oversight. You have a collaborative mindset, proven ability to work across teams, and align efforts to achieve strategic goals. You are committed to engineering excellence and continuously raising the bar for technical quality.
- Ability to tackle complex data engineering problems independently and find innovative solutions.
- Proven ability to work across teams and align efforts to achieve strategic goals.
- Strong skills in producing detailed technical documentation and communicating effectively with both technical and non-technical stakeholders.
- Self-motivated and capable of managing tasks and projects with minimal oversight.
- Able to understand and align with the broader organizational goals and strategies.
- Proactively identifies potential risks and takes steps to mitigate them early in the project lifecycle.
- Committed to engineering excellence and continuously raising the bar for technical quality.
- Eager to mentor junior engineers and foster a collaborative and high-performing team culture.
REQUIREMENTS
- 7+ years in data engineering with a track record of building and maintaining scalable data systems and pipelines.
- 4+ 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.
- Proficiency in data processing technologies including Spark Streaming, Kafka Streams, and SQL-based data manipulation.
- Hands-on experience with AWS cloud services and data solutions, including data warehousing and ETL tools.
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
Senior Data Engineer
To see similar active jobs please follow this link: Remote Development jobs
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 Senior Data Engineer at H1, you will play a key role in shaping and delivering our data engineering initiatives. You are expected to work independently, handle complex data engineering challenges, and ensure your work drives significant impact. You will align closely with the end-user needs, prioritize effectively, and collaborate across teams to deliver robust data solutions. Your ability to see the big picture and raise project risks early will be crucial to the success of our projects. You will mentor junior engineers and contribute to setting high engineering standards across the team.
You will:
- Understand end-user needs and ensure that your work directly contributes to delivering impactful solutions. Collaborate with Product Managers and team leads to prioritize tasks that enhance user experience and meet strategic goals.
- Work autonomously on projects, demonstrating the ability to unblock yourself and drive tasks to completion with minimal guidance.
- Maintain a big-picture perspective and coordinate work that spans multiple teams, ensuring alignment with overall organizational objectives.
- Identify and communicate project-level risks early, working proactively to mitigate issues and ensure successful project delivery.
- Lead the “Understand” phase of projects, producing comprehensive documentation and aligning with relevant stakeholders on technical requirements and project scope.
- Decompose OKRs into actionable tasks and collaborate with junior engineers to ensure they have a clear understanding of their work.
- Partner with PMs and technical leads to prioritize initiatives that maximize end-user impact and organizational benefit.
- Uphold high standards for clean code, thorough code reviews, and robust technical designs. Drive the adoption of best practices and continuous improvement within the engineering team.
- Provide guidance and mentorship to junior engineers, focusing on enhancing their technical skills and maintaining a high engineering bar.
ABOUT YOU
You have strong hands-on technical skills, including substantial experience in data engineering with a track record of building and maintaining scalable data systems and pipelines. You are proactive, independent, and capable of managing tasks and projects with minimal oversight. You have a collaborative mindset, proven ability to work across teams, and align efforts to achieve strategic goals. You are committed to engineering excellence and continuously raising the bar for technical quality.
- Ability to tackle complex data engineering problems independently and find innovative solutions.
- Proven ability to work across teams and align efforts to achieve strategic goals.
- Strong skills in producing detailed technical documentation and communicating effectively with both technical and non-technical stakeholders.
- Self-motivated and capable of managing tasks and projects with minimal oversight.
- Able to understand and align with the broader organizational goals and strategies.
- Proactively identifies potential risks and takes steps to mitigate them early in the project lifecycle.
- Committed to engineering excellence and continuously raising the bar for technical quality.
- Eager to mentor junior engineers and foster a collaborative and high-performing team culture.
REQUIREMENTS
- 7+ years in data engineering with a track record of building and maintaining scalable data systems and pipelines.
- 4+ 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.
- Proficiency in data processing technologies including Spark Streaming, Kafka Streams, and SQL-based data manipulation.
- Hands-on experience with AWS cloud services and data solutions, including data warehousing and ETL tools.
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