Healthcare Data Developer

AArete$90K — $120K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in healthcare data or related fields
  • Proficient in Snowflake, SQL, and Python
  • Experience with healthcare claims data
  • Background in data validation and testing
  • Strong analytical, problem-solving, and detail-oriented skills
  • Ability to collaborate effectively with technical and business teams
  • Willingness for client interaction, including potential travel

Responsibilities

  • Develop and maintain healthcare fee schedule solutions
  • Translate business requirements into technical data transformations
  • Analyze claims data for fee schedule development
  • Create SQL queries and Python scripts for data processing
  • Implement and validate pricing logic
  • Perform various testing types, including functional and regression
  • Troubleshoot issues with data or technical implementation

Benefits

  • Flexible PTO and monthly half-day refuels
  • Generous paid parental leave options
  • Employer-paid medical, dental, and vision insurance
  • 401K match and life insurance coverage
  • Volunteer time off and charitable contribution matching
  • New client commission and referral bonus program
  • Bike share discount program
Full Job Description
Description

Healthcare Data Developer

The Role

We are looking for a Healthcare Data Developer with strong Snowflake, SQL and Python skills to support the development and testing of healthcare fee schedules. This role will work with healthcare claims data and business requirements to develop data transformations, implement pricing and reimbursement logic, and validate results.

Work You'll Do

  • 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


Requirements

  • 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


Preferred Requirements

  • 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


Compensation & 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

The estimated base salary range for this position is $90,000 - $120,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.

AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

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