Oxbridge Health

Episode-based health plans with transparency

Data Integration Engineer - Healthcare Transactions

Data EngineeringConfirmed live in the last 24 hours

Full-timeNorwalk, CT, USAIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Information Systems, Healthcare Informatics, or a related field, or equivalent practical experience.
At least 3 years of hands-on software or data engineering experience building and supporting production data integrations; healthcare-sector experience is preferred, with payer or health plan experience a plus.
Strong proficiency in Python and SQL.
Working knowledge of healthcare transaction standards, especially X12 837 and 834.
Experience building data pipelines on AWS, such as S3 and Lambda.
Experience with RESTful APIs, JSON, and SFTP-based file exchange.
Experience with Git, automated testing, and CI/CD pipelines.
Understanding of HIPAA requirements for handling protected health information.
Strong debugging and problem-solving skills, and clear written and verbal communication, including with external technical contacts.

Responsibilities

Design, build, test, and deploy inbound and outbound data pipelines with providers, payers, vendors, and network partners, covering claims and billing files, provider directory files, NPPES, ICD-10, and other data sources.
Write parsing, mapping, and transformation logic in Python and SQL to validate, normalize, and load partner data into internal data models.
Build and maintain the APIs and services that move integrated data into billing and other core systems.
Build automated data quality checks, validation rules, and exception handling so bad or incomplete files are caught before they reach downstream systems or clients.
Instrument pipelines with logging, monitoring, and alerting; investigate production failures, perform root cause analysis, and ship fixes that prevent recurring issues.
Build reusable components and templates to make each new feed faster to stand up.
Optimize pipelines for performance and cost as data volumes and the number of partners grow.
Apply HIPAA and security requirements in code and infrastructure, including encryption, secure file transfer, access controls, and audit logging.
Own the technical side of new client and partner connections end to end by reviewing file specifications, building and testing feeds, running test cycles with partners, and moving feeds to production.
Work directly with technical contacts at clients and vendors to troubleshoot data issues and agree on file layouts and requirements, such as custom 837 claims and 834 enrollment files.
Work with Product, account management, and operations teams to turn business requirements into technical designs with clear acceptance criteria.
Surface integration pain points and edge cases to inform the product and engineering roadmap.
Follow the team's software development practices, including version control, code review, automated testing, and CI/CD deployments.
Write and maintain technical specifications, mapping documents, and runbooks so integrations can be supported and extended by other engineers.

Desired Qualifications

Experience with healthcare transaction standards such as 835, 270/271, HL7, or FHIR.
Experience with an integration engine or orchestration tool such as Mirth Connect, Rhapsody, InterSystems, or Airflow.
Healthcare-sector experience, preferably with payer or health plan experience.

Company Overview:

Our company is a start-up that specializes in episodes of care benefit plans. We have a deep expertise in episode pricing and analytics and our goal is to bring transparency and efficiency to the healthcare market. Our company is committed to providing high-quality, affordable healthcare to our customers.

Role Description
The Data Integration Engineer for Healthcare Transactions is a hands-on software engineer responsible for designing, building, and operating the data pipelines and integrations that move healthcare data, including claims, enrollment, and other transactions, into and out of the organization's systems. This is an individual contributor role on the engineering team: this person writes the code, mappings, and tests behind each feed, deploys it to production, and owns its reliability from there. The ideal candidate is an engineer who knows healthcare data standards in detail and treats integrations as production software.

Responsibilities

Design, build, test, and deploy inbound and outbound data pipelines with providers, payers, vendors, and network partners, covering Claims and Billing files, Provider Directory files, NPPES, ICD10 and other data sources.
Write the parsing, mapping, and transformation logic in Python and SQL that validates, normalizes, and loads partner data into internal data models.
Build and maintain the APIs and services that move integrated data into billing and other core systems.
Build automated data quality checks, validation rules, and exception handling so bad or incomplete files are caught before they reach downstream systems or clients.
Instrument pipelines with logging, monitoring, and alerting; investigate production failures, perform root cause analysis, and ship fixes that keep issues from recurring.
Build reusable components and templates that make each new feed faster to stand up than the last.
Optimize pipelines for performance and cost as data volumes and the number of partners grow.
Apply HIPAA and security requirements in code and infrastructure, including encryption, secure file transfer, access controls, and audit logging.
Own the technical side of new client and partner connections end to end: review file specifications, build and test the feed, run test cycles with the partner, and move to production.
Work directly with technical contacts at clients and vendors to troubleshoot data issues and agree on file layouts and requirements (e.g., custom 837 claims, 834 enrollment files).
Work with Product, account management, and operations teams to turn business requirements into technical designs with clear acceptance criteria.
Surface integration pain points and edge cases to inform the product and engineering roadmap.
Follow the team's software development practices, including version control, code review, automated testing, and CI/CD deployments.
Write and maintain technical specifications, mapping documents, and runbooks so integrations can be supported and extended by other engineers.

Qualifications

Describe the experience and attributes of the ideal candidate
Bachelor's degree in Computer Science, Information Systems, Healthcare Informatics, or a related field, or equivalent practical experience.
3+ years of hands-on software or data engineering experience building and supporting production data integrations, preferably within the healthcare sector (payer or health plan experience a plus).
Strong proficiency in Python and SQL.
Working knowledge of healthcare transaction standards, especially X12 837 and 834; experience with 835, 270/271, HL7, or FHIR a plus.
Experience building data pipelines on AWS (e.g., S3, Lambda).
Experience with RESTful APIs, JSON, and SFTP-based file exchange.
Experience with Git, automated testing, and CI/CD pipelines.
Experience with an integration engine or orchestration tool (e.g., Mirth Connect, Rhapsody, InterSystems, Airflow) a plus.
Understanding of HIPAA requirements for handling protected health information.
Strong debugging and problem-solving skills, and clear written and verbal communication, including with external technical contacts.

Benefits

Health: Medical, dental, and vision insurance
Retirement: 401(k) with company match
Paid leave: Vacation, Sick, and company holidays
Ancillary: Company-paid life and disability insurance

About the Company

Oxbridge Health

Episode-based health plans with transparency

Oxbridge Health creates health coverage plans centered on Episode Benefit Plans, which bundle all services for a given treatment into a single transparent price to lower costs and improve care. It uses data analytics to establish a protection layer—an exceptions/variances corridor around an episode—to handle unexpected events and provide predictability in spending. The plans mix familiar PPO/HMO features with strong price transparency and consumer-focused design. The company targets employers and works with brokers to reach more clients, drawing on a history of consumer-choice models like POS plans and tiered drug pricing to empower cost-aware decisions. Its goal is to reduce healthcare costs for employers while delivering clearer pricing and better care for employees through data-driven, episode-based coverage.

Company size: 11-50
Company stage: Series B
Total funding: $45M
Headquarters: Norwalk, CT
Founded: 2023

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