Staff Software Engineer, Health Plans Data Pipelines

H1 Insights

États-Unis

À distance

USD 185 000 - 230 000

Plein temps

Il y a 5 jours
Soyez parmi les premiers à postuler

Une candidature complète en une minute

Un CV et une lettre de motivation personnalisés, prêts à envoyer.

Passez les filtres ATS

Avantages offerts par ce poste

Health insurance
Paid time off
Retirement options
Wellness stipends
RSU equity

Résumé du poste

H1 is seeking a Staff Software Engineer for the Health Plans team to design, build and run large-scale data pipelines behind products used by health plans and life sciences customers. This hands-on role emphasizes PySpark, Scala and SQL, with the aim of shipping features customers can see and use.

You will own end-to-end data systems, collaborate with product teams and IT, and help scale data-driven products while improving reliability and observability across complex pipelines.

Qualifications

  • 8+ years of software engineering experience with a strong focus on data engineering and building data-driven products.
  • Deep experience designing, building and running production big data pipelines at scale (ETL/ELT, orchestration, scheduling, monitoring).
  • Strong proficiency in PySpark, Scala, Python and SQL.
  • Solid experience with distributed data processing and performance tuning in Spark.
  • Experience building APIs or backend services that support customer-facing applications.
  • Working knowledge of cloud infrastructure (e.g., AWS, GCP or Azure).
  • Hands-on experience with entity resolution, record matching or master data management.
  • Experience with data quality, scoring or validation frameworks.

Responsabilités

  • Design, build and operate large-scale data pipelines for ingesting, transforming, matching and syncing client data, using PySpark, Scala and SQL.
  • Build and improve the entity matching service that resolves client records against H1's core data layer, including its underlying schema.
  • Develop data asset management features such as scoring, status assignment and configurable intake.
  • Build the APIs and backend services that power customer-facing UIs and internal tools, making pipeline outputs easy to explore, act on and trust.
  • Contribute to customer-facing and internal applications that help bring new products to market.
  • Build self-service internal tools that let operations, customer success and other non-technical teams work with data without engineering help.
  • Work directly with messy enterprise client data, debugging issues end to end and making ingestion more reliable and repeatable.
  • Integrate clinical and provider data as new products and customers come onto the platform.
  • Work with product and design partners to shape features from customer problem through shipped product.
  • Improve pipeline performance, reliability, observability, testing and documentation.
  • Contribute to architecture decisions and design and code reviews.
  • Collaborate with adjacent teams that own feed delivery, access infrastructure, public-facing APIs and roster processing.

Connaissances

Big data
Data engineering
PySpark
Scala
Python
SQL
ETL/ELT
APIs
Cloud
Entity resolution
Data quality
Product mindset

Outils

AWS
GCP
Azure
Spark

Description du poste

H1 is seeking a Staff Software Engineer for the Health Plans team to design, build and run large-scale data pipelines behind products used by health plans and life sciences customers. This hands-on role emphasizes PySpark, Scala and SQL, with the aim of shipping features customers can see and use.

You will own end-to-end data systems, collaborate with product teams and IT, and help scale data-driven products while improving reliability and observability across complex pipelines.

Obtenez votre examen gratuit et confidentiel de votre CV.

ou faites glisser et déposez votre fichier ici.

Similar jobs

Postes similaires à comparer

Senior Data Engineer: Lead Data Pipelines & ML Solutions
Senior Data Engineer: Lead Data Pipelines & ML Solutions

eHealthinsurance Services, Inc. • États-Unis

À distance
USD 115 000 - 144 000
Medical, dental, and vision benefits
401K with matching
Tuition reimbursement
+2
Senior Data Engineer - Big Data Pipelines & APIs
Senior Data Engineer - Big Data Pipelines & APIs

H1 • New York (NY)

Sur place
USD 185 000 - 230 000
Health insurance options
Paid time off
Wellness holidays
+3
Data Engineer
Data Engineer

The Value Maximizer • États-Unis

Sur place
USD 90 000 - 120 000
Data Engineer: ETL Pipelines & Spark on Cloud
Data Engineer: ETL Pipelines & Spark on Cloud

definitivehc • États-Unis

Sur place
USD 110 000 - 165 000
Senior Data Engineer - PySpark, AWS ETL & Pipelines
Senior Data Engineer - PySpark, AWS ETL & Pipelines

LanceSoft Inc • Charlotte (NC)

Sur place
USD 120 000 - 180 000
Healthcare Data Engineer: Build Scalable ETL Pipelines
Healthcare Data Engineer: Build Scalable ETL Pipelines

Definitive Healthcare Corp. • Woodbridge Township (NJ)

Sur place
USD 93 000 - 141 000
Medical insurance
Dental coverage
Vision coverage
+2
Senior Data Software Engineer/ Databricks, Apache Spark, PySpark
Senior Data Software Engineer/ Databricks, Apache Spark, PySpark

EPAM Systems • États-Unis

À distance
USD 140 000 - 180 000
Senior Data Engineer: Build Scalable Pipelines (Hybrid)
Senior Data Engineer: Build Scalable Pipelines (Hybrid)

Health Union • Philadelphia

Hybride
USD 95 000 - 131 000
Medical insurance
Dental insurance
Vision insurance
+7
Senior Data Engineer, People Analytics Pipelines
Senior Data Engineer, People Analytics Pipelines

CVS Health • Raleigh (NC)

Sur place
USD 83 000 - 222 000
Medical, dental, and vision coverage
Paid time off
Retirement savings options
+1
Remote Data Engineer - Build Healthcare Data Pipelines
Remote Data Engineer - Build Healthcare Data Pipelines

Definitive Healthcare, US • Framingham (MA)

Hybride
USD 93 000 - 141 000