Staff Data Engineer - Emerald

the team through code reviews, technical guidance, and engineering best practices. - Collaborate directly with Product and business stakeholders to align technical solutions with operational and customer needs. - Support production operations, incident response, troubleshooting, and ongoing platform reliability. ABOUT YOU You are an experienced data engineer with deep expertise building and optimizing distributed data systems in cloud-native environments. You thrive solving complex scalability and performance challenges across high-volume data processing systems and enjoy operating in highly technical, fast-paced engineering environments. You bring strong hands-on engineering expertise across distributed computing, large-scale data processing, and infrastructure optimization while also helping guide technical direction and mentor engineers across the organization. - Deep expertise with distributed data processing frameworks such as Apache Spark and Hadoop, particularly within AWS environments. - Strong proficiency in Python (PySpark), Scala, Java, or other modern programming languages used for large-scale distributed processing. - Experience building scalable ETL/ELT frameworks across both batch and streaming architectures. - Experience with entity resolution, identity mapping, automatching, deduplication, or large-scale matching systems is strongly preferred. - Strong understanding of distributed file formats including Apache Parquet and Apache AVRO. - Experience with streaming technologies such as Kafka, Spark Streaming, or KSQL. - Strong grasp of software engineering fundamentals including distributed systems, data structures, concurrency, and system design. - Experience performing root cause analysis across large-scale distributed systems and complex data pipelines. - Ability to write clean, maintainable, modular, and production-grade code. - Experience improving performance, scalability, observability, and infrastructure efficiency within distributed systems. - Strong communication and collaboration skills across both technical and non-technical stakeholders. - Familiarity with modern development and infrastructure tooling including Git, CI/CD pipelines, Docker, Kubernetes, Terraform, Argo, Hudi, and JIRA.

REQUIREMENTS - 8+ years of experience building and maintaining large-scale distributed data systems and pipelines. - Demonstrated technical leadership experience mentoring engineers and driving complex technical initiatives. - Extensive experience with Apache Spark and AWS-based big data technologies including EMR, S3, and distributed compute environments. - Strong coding experience in Python (PySpark), Scala, Java, or equivalent languages used for distributed processing systems. - Experience optimizing large-scale Spark workloads for performance, scalability, and infrastructure cost efficiency. - Experience with streaming and event-driven architectures using technologies such as Kafka or Spark Streaming. - Experience with orchestration and lakehouse technologies such as Argo and Hudi or comparable platforms. - Experience with containerization and infrastructure technologies such as Docker, Kubernetes, and Terraform. - Experience working with relational or distributed databases such as PostgreSQL or Redshift. - Proven ability to operate effectively within highly scalable, production-grade distributed systems. - Experience working with healthcare, life sciences, Real World Evidence (RWE), or large-scale healthcare datasets is strongly preferred.

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.

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