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AArete
Posted 39 days agoVerified live 2d ago

Python Developer

Brief overview

Remote
$90k–$120k/yrStated range
3+ yrsMinimum
28 H-1B approvalsDept. of Labor
3 green cardsCertified filings
PythonSQLSnowflakeHealthcare Claims DataHealthcare Fee SchedulesData Validation and TestingHealthcare Reimbursement MethodologiesCPT and HCPCS CodingProfessional and Institutional Claims ManagementHealthcare Payer DataGitJiraStakeholder Collaboration

About the company

AArete is a management consulting company specializing in operational performance improvement and strategic cost reduction services.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
28H-1B approved
100%approval rate
8new H-1B hires
3PERM certified
$198,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20232
202413
202511
20262
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
20244
20251
20262
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20231
20241
20251
Top sponsored roles
Manager, Data Architecture & EngineeringSenior Consultant, Application DevelopmentData Science ManagerConsultant, Data Science & AnalyticsManager, Quality Assurance & Testing
Sponsored employees from
India

Job description

Summary

AArete is a global management and technology consulting firm. The company is seeking a Healthcare Data Developer to develop and test healthcare fee schedule solutions using Snowflake, SQL, and Python, while working with claims data, reimbursement requirements, pricing logic, and validation processes.

Responsibilities

  • Develop and maintain healthcare fee schedule solutions using Snowflake, SQL, and Python
  • Translate business and reimbursement requirements into technical logic and data transformations
  • Analyze healthcare claims data to support fee schedule development and validation
  • Develop SQL queries and Python scripts for data processing, transformation, validation, and automation
  • Implement and validate pricing logic based on business requirements
  • Perform functional, regression, integration, and data validation testing
  • Compare expected versus actual pricing results and investigate discrepancies
  • Identify and troubleshoot issues related to data, business rules, or technical implementation
  • Develop automated validation processes to improve the efficiency and accuracy of fee schedule testing
  • Work with business stakeholders to understand requirements and clarify pricing rules
  • Support UAT and resolve issues identified during business testing
  • Perform data reconciliation and identify gaps or inconsistencies in fee schedule coverage
  • Support deployment and post-production validation
  • Collaborate with data engineers, analysts, business stakeholders, and onshore/offshore development teams
  • Document technical logic, testing procedures, and validation results
  • Other duties as assigned

Skills

  • • 3+ years of experience in healthcare data, claims processing, healthcare analytics, data engineering, or a related field
  • • Strong Snowflake and SQL skills
  • • Strong Python skills for data processing, transformation, validation, and automation
  • • Experience working with healthcare claims data
  • • Experience with data validation, testing, or QA
  • • Ability to translate business requirements into technical solutions
  • • Strong analytical and problem-solving skills
  • • Excellent attention to detail
  • • Ability to work independently and effectively collaborate with technical and business teams
  • • Willingness to engage in direct client interaction, including travel to client locations
  • • Must be legally authorized to work in the United States without the need for employer sponsorship
  • • Experience with healthcare fee schedules or reimbursement methodologies
  • • Knowledge of CPT, HCPCS, modifiers, revenue codes, DRGs/APR-DRGs, NPI, and TIN
  • • Experience with professional and institutional claims management
  • • Experience with healthcare payer data
  • • Experience developing automated testing or validation using Python
  • • Familiarity with Git, Jira, and Agile development practices
  • • Based in Chicago, IL, and flexible to work from our Chicago office as needed

Qualifications

Must Haves

  • • 3+ years of experience in healthcare data, claims processing, healthcare analytics, data engineering, or a related field
  • • Strong Snowflake and SQL skills
  • • Strong Python skills for data processing, transformation, validation, and automation
  • • Experience working with healthcare claims data
  • • Experience with data validation, testing, or QA
  • • Ability to translate business requirements into technical solutions
  • • Strong analytical and problem-solving skills
  • • Excellent attention to detail
  • • Ability to work independently and effectively collaborate with technical and business teams
  • • Willingness to engage in direct client interaction, including travel to client locations
  • • Must be legally authorized to work in the United States without the need for employer sponsorship

Nice to Haves

  • • Experience with healthcare fee schedules or reimbursement methodologies
  • • Knowledge of CPT, HCPCS, modifiers, revenue codes, DRGs/APR-DRGs, NPI, and TIN
  • • Experience with professional and institutional claims management
  • • Experience with healthcare payer data
  • • Experience developing automated testing or validation using Python
  • • Familiarity with Git, Jira, and Agile development practices
  • • Based in Chicago, IL, and flexible to work from our Chicago office as needed

Benefits

  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

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