Senior Healthcare Data & Integration Engineer

📍 Location: Remote

🕒 Type: Full-time

Rate: 5.000 USD

🧭 About the Rol

eWe are building an enterprise healthcare workflow platform that depends on reliable, normalized, and operationally safe healthcare data

.We are looking for a Senior Healthcare Data & Integration Engineer to own the ingestion, normalization, mapping, and data quality infrastructure that powers workflows, analytics, and future workflow intelligence capabilities

.This is not a generic data engineering role. You will work directly with real-world healthcare data across fragmented systems and inconsistent formats — including APIs, HL7v2 feeds, FHIR resources, C-CDA documents, batch files, and operational extracts

.You will solve complex problems involving inconsistent schemas, missing fields, duplicate identifiers, late-arriving events, source-system drift, and patient identity reconciliation

.This role is ideal for someone who enjoys building reliable data infrastructure, working deeply with healthcare interoperability challenges, and creating systems that transform messy operational data into trusted enterprise-grade datasets

.
🎯 What You’ll Bui

ld1. Healthcare Data Ingestion Pipelin

• esBuild and maintain connectors for healthcare APIs, FHIR, HL7v2, C-CDA, SFTP/file feeds, and batch ingestion syste
• msDevelop scalable batch and event-driven ingestion pipelin
• esEnsure reliable ingestion across fragmented and inconsistent healthcare syste

ms
2. Data Normalization & Canonical Model

• ingMap source-system data into internal canonical healthcare mod
• elsImplement normalization for codes, timestamps, identifiers, and source mappi
• ngsBuild validation and schema enforcement logic for healthcare data consiste

ncy
3. Patient Identity & Timeline Construc

• tionDesign patient identity linkage and crosswalk strategies across MRNs, encounter IDs, and external identif
• iersBuild encounter, episode, and event timeline l
• ogicHandle duplicate records, late-arriving events, replay scenarios, and idempotent proces

sing
4. Data Quality & Operational Visib

• ilityImplement data quality checks, schema drift detection, lineage tracking, and reproducible pipeline exec
• utionBuild operational reporting for ingestion failures, incomplete records, and source-system inconsiste
• nciesEnsure pipeline reliability through monitoring, alerting, and failure recovery sy

stems
5. Platform & Workflow Collabo

• rationPartner closely with backend/platform engineers to ensure ingested data can safely trigger governed wor
• kflowsCollaborate with customer and integration stakeholders to understand source-system behavior and operational const
• raintsPrepare clean, validated datasets for analytics, workflow intelligence, and future ML use

cases
📊 What Success Loo

• ks LikeReliable and reproducible healthcare ingestion pi
• pelinesHigh-quality normalized healthcare d
• atasetsAccurate patient identity resolution and timeline const
• ructionStrong operational visibility into pipeline health and f
• ailuresStable integrations across fragmented healthcare
• systemsTrusted data infrastructure supporting enterprise workflows and an

alytics
🧬 Required Qualif

icationsM

• ust-Have6–10+ years of experience in data engineering, integration engineering, or healthcare interope
• rabilityStrong Python ex
• perienceExperience building both batch and event-driven data p
• ipelinesExperience working with messy, inconsistent, real-world sou
• rce dataStrong understanding of data validation, lineage, replayability, and reprodu
• cibilityExperience with Po
• stgreSQLExperience working with object storage systems (S3-compatible storage pr
• eferred)Experience building reliable pipelines with monitoring, testing, alerting, and recovery me
• chanismsStrong debugging skills across APIs, files, timestamps, identifiers, and schema inconsi
• stenciesAbility to collaborate closely with backend engineers on data contracts and workflow-triggering requ

irements
Strongly

• PreferredHL7v2 e
• xperienceFHIR e
• xperienceC-CDA e
• xperienceExperience with OMOP or healthcare canonical da
• ta modelsExperience working within hospital IT env
• ironmentsExperience with healthcare integration engines or interoperability
• platformsExperience with patient identity matching, MRN crosswalks, encounter modeling, or healthcare timelin
• e systemsExperience with data validation tools such as Great Expectations, Soda, or
• dbt testsExperience handling PHI-sensitive data and healthcare privacy req

uirements
🔎 Ide

• al ProfileDeeply technical and systems-oriented dat
• a engineerComfortable working with imperfect and operationally messy healt
• hcare dataStrong focus on reliability, traceability, and operational c
• orrectnessAble to balance speed with long-term maintainability and data
• integrityStrong debugging and analytical problem-solving
• abilitiesCollaborative engineer who works effectively across backend, platform, and customer integra

tion teams

• ⚡️ Why JoinOpportunity to solve complex healthcare interoperability and data engineering
• challengesWork on foundational infrastructure powering enterprise healthcar
• e workflowsHigh ownership and technical influence over critical platf
• orm systemsBuild systems that directly impact operational reliability and workflow i
• ntelligenceCollaborative engineering environment focused on solving real-world healthca

re problems