8 часов назад
Forward Deployed Engineer (AI)
140 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Forward Deployed Engineer (AI/Healthcare Data): Building production-grade ETL pipelines that transform healthcare data from systems such as Epic, LIMS, PACS, and SharePoint into datasets for an AI platform with an accent on PySpark, SQL, Azure data services, and data quality validation. Focus on troubleshooting schema and transformation issues, optimizing large-scale pipelines, supporting deployments, and developing proof-of-concept AI-powered integrations with health system partners.
Location: United States - Remote
Salary: $140,000–$200,000 per year, plus equity and benefits.
Company
builds generative AI infrastructure for healthcare, including AI governance guardrails, healthcare-specific agents, and real-time algorithm monitoring for health systems.
What you will do
- Design and build production ETL pipelines with PySpark, SQL, and Azure data services for healthcare sources including Epic, LIMS, PACS, and SharePoint.
- Extract, transform, validate, and troubleshoot complex healthcare datasets, including schema mismatches, transformation errors, data quality issues, and performance bottlenecks.
- Create reusable integration components, healthcare-specific validation rules, technical documentation, and standardized implementation patterns.
- Support testing and production deployments while coordinating with infrastructure teams.
- Advise health system partners on data mapping, transformation approaches, architecture, and integration constraints.
- Prototype AI-powered product features and build proof-of-concept integrations with product and engineering teams.
Requirements
- Must be based in the United States.
- 5+ years of experience in data analytics, data engineering, or solution delivery, including data integration and ETL.
- Strong proficiency in PySpark, advanced SQL, and Excel, with experience building and maintaining monitored, production-grade data pipelines.
- Hands-on experience with Azure Databricks, Data Factory, Blob Storage, and Delta Lake.
- Experience implementing data validation frameworks and resolving data quality issues.
- Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field, plus strong client-facing communication and ownership.
Nice to have
- Experience with Epic Clarity, EHR, claims, clinical, laboratory, or imaging data and healthcare standards such as FHIR, HL7v2, DICOM, LOINC, SNOMED, and ICD-10.
- Knowledge of HIPAA, healthcare data security, dimensional modeling, lakehouse architecture, and performance tuning.
- Experience with Git, CI/CD, Terraform, infrastructure as code, LIMS/PACS integrations, and JSON, XML, Parquet, or CSV formats.
- Experience with AI-assisted development tools such as GitHub Copilot or Cursor and prior forward-deployed, solutions engineering, or technical consulting work.
Culture & Benefits
- Mission-driven work focused on improving patient care through AI-powered healthcare infrastructure.
- Flexible working hours and remote work, with hybrid work options.
- Competitive salary, equity package, and medical, dental, and vision insurance.
- Inclusive environment focused on creativity, innovation, and rapid growth.
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