Summary
Join H1, a company dedicated to providing accessible healthcare information globally, as a Staff Data Engineer. You will be a hands-on technical leader contributing to the development of scalable data architectures. This role focuses on data ingestion and enrichment, ensuring seamless integration of client data from various sources. You will lead feature development, optimize infrastructure, collaborate with clients and teams, and mentor junior engineers. The ideal candidate possesses strong technical skills, substantial data engineering experience, and a proven track record of building and maintaining scalable data systems. H1 offers a competitive salary, stock options, and a comprehensive benefits package.
Requirements
- 8+ years of experience in data engineering, specializing in building scalable data pipelines and enrichment processes, with a strong track record of working with large datasets, including ingestion, transformation, and optimization
- Proficiency in Spark, Python, and SQL for building scalable data processing pipelines
- Hands-on experience with Kubernetes for container orchestration and deployment
- Strong background in AWS, including services such as S3, Lambda, ECS, and RDS for data infrastructure
- 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 EMR and Databricks to optimize large-scale data workflows
- In-depth understanding of optimizing LLM usage in production, with experience integrating LLMs into real-world applications and applying LLM-powered insights within data pipelines or customer-facing solutions
Responsibilities
- Lead the development of new features within our client data ingestion platform, transforming, standardizing, and enriching with H1 dataset to meet business needs, including customizable solutions for high-stakes client integrations
- Focus on optimizing infrastructure to deliver product- and client-ready insights efficiently, ensuring enriched data integrates seamlessly into broader pipelines
- Collaborate with clients, subject matter experts, and product teams to drive critical integrations and shape the evolution of data workflows
- Establish best practices for data quality, system reliability, and scalable processing to support growing datasets
- Mentor and guide engineers on the team, promoting best practices and fostering a culture of technical excellence
- Advocate for engineering improvements, including scalable designs, quality assurance, and technical documentation standards
- Serve as a cultural leader within the engineering team, promoting high standards of excellence and continuous improvement in engineering practices
- Ensure the projects you work on deliver clear end-user impact, align with strategic goals, and are accountable for meaningful outcomes
Preferred Qualifications
- Proven ability to lead the development of complex data workflows, applying business logic for data enrichment and resolving challenges with creative solutions
- Expertise in building and scaling data infrastructure, including integrating with core platforms
- Strong experience addressing data quality challenges and implementing robust validation mechanisms
- Self-motivated with the ability to manage tasks and projects independently
- Able to understand and align with broader organizational goals and strategies
- Proactively identifies potential risks and mitigates them early in the project lifecycle
- Passionate about mentoring junior engineers and fostering a collaborative, high-performing team culture
Benefits
- 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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