

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
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






