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Our client is a healthcare technology consultancy delivering data engineering and analytics solutions to payer and provider organizations across the US. They are seeking a skilled Data Engineer with hands-on revenue cycle management experience to build, deploy, and maintain data pipelines, integrations, and EDW solutions across a portfolio of client engagements spanning health plans, hospital systems, physician groups, and RCM technology vendors. Core responsibilities: Build and maintain production-grade ELT/ETL pipelines that ingest, parse, and transform X12 EDI, HL7 FHIR, and flat-file RCM data from payer and provider source systems Implement data models designed by the architecture team in cloud data platforms (Snowflake, Azure Synapse, Redshift, or BigQuery), including dbt model development and testing Develop and maintain integrations between RCM platforms (clearinghouses, EHRs, billing systems) using APIs, SFTP workflows, and message queue patterns Build data quality frameworks validation rules, reconciliation checks, and anomaly alerts specific to RCM transaction volumes and payer contract logic Implement HIPAA-compliant data handling including PHI masking, de-identification, audit logging, and role-based access controls across pipeline and storage layers Support client-facing delivery by documenting pipelines, producing data lineage artefacts, and participating in architecture and QA reviews Contribute to internal accelerators reusable pipeline templates, X12 parsers, FHIR transformers that reduce time-to-deliver across client engagements Required skills: 5+ years in data engineering with at least 3 years in healthcare hands-on experience working with both payer and provider RCM data strongly preferred Proficiency in Python and SQL for pipeline development; experience with dbt (Core or Cloud) for transformation layer implementation Solid working knowledge of X12 EDI transaction sets (837P/I, 835, 834, 270/271, 276/277) and HL7 FHIR R4 able to parse, validate, and transform these formats without scaffolding Hands-on cloud data platform experience on Snowflake, Azure Synapse, Redshift, or BigQuery; understanding of warehouse optimization, partitioning, and cost management Experience with orchestration tools (Apache Airflow, Azure Data Factory, Prefect, or Dagster) and CI/CD pipelines for data engineering (GitHub Actions, Azure DevOps) Familiarity with RCM source systems Epic Resolute, Cerner RevElate, athenahealth, Waystar, Change Healthcare, or major clearinghouse file formats Working knowledge of HIPAA requirements as applied to data pipelines PHI identification, de-identification Safe Harbor / Expert Determination, BAA context Preferred platforms & tooling: Cloud: Snowflake, Azure (ADF, Synapse, FHIR Service), AWS, GCP Orchestration: Airflow, Azure Data Factory, Prefect, or Dagster Transformation: dbt Core or dbt Cloud EHR / PMS: Epic, Oracle Cerner, athenahealth, eClinicalWorks Clearinghouses: Waystar, Change Healthcare, Availity Version control & CI/CD: Git, GitHub Actions, Azure DevOps Nice to have Experience with Spark or distributed processing for high-volume claims datasets FHIR-native pipeline patterns using Azure FHIR Service or AWS HealthLake Exposure to Da Vinci FHIR IGs (CDex, PCDE, PDex) for payer data exchange Value-based care or APM contract data pipeline experience RPA tooling (UiPath, Automation Anywhere) in RCM automation contexts CMS price transparency or No Surprises Act data handling experience Apply To this Job .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.