Staff Data Engineer- Data Lake

responsibilities while remaining hands-on. - You have deep experience designing and scaling distributed data platforms and large-scale pipelines in cloud-native environments. - You excel at building reliable, observable, and maintainable data systems supporting critical business and analytics workloads. - You have strong expertise in distributed processing, performance optimization, and modern data architecture patterns. - You are comfortable leading technical initiatives and influencing architecture decisions across teams. - You communicate effectively with both technical and non-technical stakeholders. - You enjoy mentoring engineers and helping raise the engineering bar across teams. - You are energized by ownership, autonomy, and solving ambiguous technical challenges.

REQUIREMENTS - 8+ years of experience in data engineering, software engineering, or related fields with significant experience building and scaling distributed data platforms. - Demonstrated technical leadership experience with interest in or experience mentoring and leading engineers. - Strong proficiency in Python (PySpark), Java, Scala, or similar programming languages. Advanced SQL expertise, including performance tuning and optimization across large datasets. - Deep experience with Apache Spark and cloud-native big data platforms, preferably within AWS environments (EMR, Glue, S3, Athena, Redshift, or similar). - Experience designing and scaling modern cloud-native data lake architectures and large-scale ingestion frameworks. - Experience with orchestration and workflow management tools such as Argo, Airflow, or similar technologies. - Strong understanding of distributed storage systems, partitioning strategies, and file formats such as Parquet, Avro, and ORC. - Experience with Docker, Kubernetes, and modern containerization technologies. - Experience implementing monitoring, observability, and data quality frameworks within production environments. - Experience with large-scale data cleaning, parsing, normalization, and validation workflows preferred. - Experience working with healthcare, life sciences, publication, or large-scale entity-resolution datasets preferred. - Exposure to ML/AI-driven data enrichment, parsing, or validation workflows is a plus. - Experience using AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) to accelerate development while maintaining quality is encouraged

COMPENSATION This role pays $170,000 to $190,000 per year, based on experience, in addition to stock options. Anticipated role close date: 8/1/2026 \n \n 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.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.