Intellectt Inc

Senior Data ETL Engineer - W2 Position

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data ETL Engineer, 12+ months, onsite in Atlanta, GA. Requires 9+ years in data engineering, 5+ years in healthcare data, expertise in AWS and HIPAA compliance, and experience with multi-million claims processing.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 12, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Athena #FHIR (Fast Healthcare Interoperability Resources) #Apache Iceberg #JSON (JavaScript Object Notation) #Data Processing #Data Pipeline #Redshift #DynamoDB #Airflow #PostgreSQL #Spark (Apache Spark) #Data Engineering #AWS (Amazon Web Services) #SageMaker #Apache Airflow #"ETL (Extract #Transform #Load)" #Computer Science #dbt (data build tool) #API (Application Programming Interface) #AWS Glue #CMS (Content Management System) #PySpark #XML (eXtensible Markup Language) #Compliance #SQL (Structured Query Language) #Python #Amazon Redshift
Role description
Hope you are doing great..! Role: Senior Data ETL Engineer Duration: 12+ months Location: Atlanta, GA (Onsite from day 1) Position : W2 Position POSITION OVERVIEW We are looking for a Senior Data ETL Engineer to own end-to-end design and operation of large-scale healthcare data pipelines on the AWS ecosystem. The role demands deep expertise in healthcare claims ingestion, multi-format data processing, and HIPAA-compliant architecture capable of handling tens to hundreds of millions of claims records. CORE TECHNOLOGY STACK AWS Glue Apache Iceberg Amazon Redshift Amazon Athena Amazon SageMaker Amazon DynamoDB PostgreSQL SQL Proficiency Amazon Kinesis AWS Lake Formation Apache Airflow (MWAA) dbt Python / PySpark AWS Step Functions 837 EDI / HIPAA Claims Ingestion & Processing Parse & validate ANSI X12 837P, 837I, 837D EDI transactions at scale (multi-million+ claims) Ingest multi-format sources: EDI, CSV, JSON, HL7 FHIR R4, XML, and API feeds Handle full claims lifecycle: submission, adjudication, 835 remittance, 270/271 eligibility, 276/277 status Validate ICD-10, CPT, HCPCS, NPI, revenue codes, and HIPAA 5010 compliance rules Education & Experience Bachelor's / Master's in Computer Science, Data Engineering, or related field 9+ years in data engineering, ETL/ELT development, or data warehousing 5+ years in a healthcare data environment (payer, provider, clearinghouse, or HIT vendor) Proven experience processing multi-million+ claims records in production at scale Healthcare Domain Knowledge 837 EDI (P/I/D): loop structures, segment parsing, companion guide interpretation Full claims lifecycle: 835 ERA, 270/271 eligibility, 276/277 status transactions Medical coding: ICD-10-CM/PCS, CPT, HCPCS Level II, DRG, NDC, revenue codes, HIPAA 5010 transaction standards, CMS-1500, UB-04; HL7 FHIR R4 / HL7 v2.x