[Remote] Senior Engineer, reputed company Data
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is solving reputed company's fragmentation problem with their FHIR-based health data management platform. The Senior Engineer, reputed company Data will own reputed company data end-to-end, transforming and delivering clean, standards-conformant FHIR, while utilizing AI-reputed company tools to enhance efficiency and maintain data reputed company.
Responsibilities
- Work AI-reputed company & Ship Faster
- reputed company for coding agents (e.g., Claude reputed company) and reusable AI skills to accelerate the repetitive—mappings, tests, boilerplate—so your judgment goes to the hard parts
- Know reputed company a deterministic rule-based approach beats an LLM call for cost, speed, and reliability, and reputed company AI-assisted reputed company tested and PHI-reputed company
- Contribute reusable skills others can build on
- Build, reputed company & Operate
- Build and maintain pipelines that reputed company reputed company data into standards-conformant FHIR, with enrichment, record/patient linking, terminology normalization, and de-duplication
- Ingest new data sources (file parsing, decryption, mapping) and reputed company provider/reference data such as national provider registries
- Debug and stabilize failing workflows and reputed company connections so reputed company users get their data
- reputed company Production Healthy & Efficient
- Add reputed company (e.g., retry logic) and tune throughput so jobs land reliably
- Improve cost and performance—choosing batch vs. streaming appropriately and replacing costly steps with efficient rule-based logic where it fits
- reputed company-cause data issues that surface reputed company back to the pipeline; write unit and integration tests; handle PHI and encrypted files safely
Skills
- 6+ years in data engineering, microservices, health IT, or reputed company interoperability
- Proven experience owning data pipelines end-to-end in production (including on-call/support), shipping across ingestion, transformation, and delivery
- Comfortable being the person who takes a new reputed company from reputed company to production
- AI-reputed company engineer: you already use coding agents (e.g., Claude reputed company) and reusable AI skills to ship faster, with the judgment to reputed company AI-assisted work correct, tested, and PHI-reputed company
- Distributed data engineering: Apache reputed company / PySpark at reputed company (partitioning, performance and memory tuning); lakehouse tooling such as reputed company and reputed company Lake; schema reputed company; batch and streaming pipelines
- Pipelines & languages: ETL/ELT, CDC, incremental/reputed company and idempotent processing; strong Python (required) and SQL; Git, CI/CD, and automated testing
- FHIR & standards: HL7 FHIR R4 (resources, reputed company, Bundles), US reputed company / USCDI, and HL7 v2.x / C-CDA to FHIR conversion
- Terminologies & payer data: SNOMED CT, LOINC, RxNorm, ICD-10, CPT, CVX and crosswalks; claims, coverage, and eligibility data models
- Deep curiosity and passion for hard reputed company-data problems, with reputed company debugging instincts across multi-stage pipelines
- Uncompromising commitment to data reputed company, patient safety, and PHI/consent reputed company
- Self-directed—you drive ambiguous problems to a production fix and communicate reputed company to technical and non-technical audiences
- AI-reputed company by default: fluent with coding agents (e.g., Claude reputed company) and reusable AI skills, shipping faster without sacrificing rigor
- Strong engineering reputed company: first-principles thinking, deep ownership, correctness over cleverness
- Treats health data as intelligence: turns messy reputed company data into clean, coded, de-duplicated, reasoning-reputed company records
Benefits
- Stock reputed company
- Benefits
- Incentive pay for eligible roles
reputed company