[Remote] Staff Data Engineer - Emerald

Note The job is a remote job and is open to candidates in USA. H1 is dedicated to providing optimal healthcare information access and is seeking a Staff Data Engineer for their Emerald team. This role involves leading the architecture and scalability of H1’s healthcare entity resolution platform while managing a small team and collaborating with various stakeholders to enhance the platform's efficiency and accuracy. Responsibilities Lead the design, optimization, and scalability of distributed Spark/PySpark pipelines powering entity resolution and large-scale healthcare data processing Own systems supporting automatching, identity mapping, grouping logic, deduplication, enrichment, and auto-approval workflows across healthcare provider and organization datasets Build and maintain scalable processing frameworks for PubMed, clinical trial, ct.gov, conference, and other healthcare data sources Drive infrastructure optimization initiatives focused on improving throughput, runtime, observability, and cloud compute cost efficiency Partner closely with AI/ML teams to integrate matching and resolution models into EMERALD and improve matching precision and recall Lead complex technical initiatives from architecture and design through deployment, monitoring, and long-term production support Serve as a technical leader and mentor across 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 Skills 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 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 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 Experience with entity resolution, identity mapping, automatching, deduplication, or large-scale matching systems is strongly preferred Experience working with healthcare, life sciences, Real World Evidence (RWE), or large-scale healthcare datasets is strongly preferred Benefits Stock options Full suite of health insurance options 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 Company Overview H1 is on a mission to connect the world with the right doctors. It was founded in 2017, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is https//www.h1.co. Company H1B Sponsorship H1 has a track record of offering H1B sponsorships, with 5 in 2025, 6 in 2024, 4 in 2023, 9 in 2022, 7 in 2021. Please note that this does not guarantee sponsorship for this specific role.