Staff Interoperability Engineer - Healthcare Data Company Overview We're solving one of healthcare's biggest problems: fragmented health data. At b.well, we've built the infrastructure that brings together a person's complete health record—scattered across providers, pharmacies, labs, and apps—into one place. We operate the largest consumer health data platform. Our interoperability infrastructure processes millions of health records daily, connecting to thousands of data sources nationwide. This is where healthcare interoperability happens at scale—connecting health data from EMRs to wearables to pharmacy systems to insurance claims, all in real-time, all FHIR-native, all compliant. The Role We're seeking an exceptional Interoperability Engineer to design, build, and scale cutting-edge health data exchange solutions. This is a hands-on technical role for a seasoned professional who will own complex integration projects end-to-end. You'll build real-time data pipelines connecting thousands of healthcare data sources—enabling seamless, secure, and compliant health data exchange for millions of patients. What You'll Do: Build Large-Scale Interoperability Solutions - Design and implement real-time health data exchange solutions supporting millions of patient records - Build Patient Access APIs, Provider Directory APIs, and Bulk FHIR APIs (CMS Interoperability Rule compliant) - Develop connections to national networks (Carequality, CommonWell, eHealth Exchange, TEFCA) - Create scalable data pipelines ingesting from EMRs, HIEs, labs, pharmacies, payers, wearables, and IoT devices - Implement FHIR R4 and US Core Implementation Guide across all integration points Solve Complex Technical Challenges - Build real-time data pipeline infrastructure using Cloud and AI Native tools, Python, Spark and Kubernetes - Develop custom FHIR resource mappings, transformations, and validation logic for non-standard data sources - Build HL7 v2.x to FHIR conversion engines at scale - CCDA conversions to FHIR - Create automated testing frameworks for FHIR conformance, data quality, and integration validation - Troubleshoot multi-system integration issues: data mapping conflicts, API failures, patient matching challenges, compliance gaps Ensure Security & Compliance - Implement SMART on FHIR authorization (OAuth 2.0, OpenID Connect, backend services) - Build security controls: mTLS, JWT validation, API rate limiting, audit logging - Maintain HIPAA, 21st Century Cures Act, and ONC certification compliance - Implement consent management and granular data sharing controls Collaborate & Innovate - Partner with product, clinical, and engineering teams to define interoperability requirements - Create technical documentation: API specs, FHIR profiles, data mappings, troubleshooting guides - Mentor junior engineers through code reviews and knowledge sharing - Stay current with emerging healthcare interoperability standards and regulations Required Experience: Healthcare Interoperability (Must-Have) - 6+ years in healthcare interoperability or health IT - 4+ years designing and implementing FHIR-based solutions (FHIR R4 required) - Proven track record building production health data exchange for Millions of patients - Extensive experience with 5+ EMR platforms (Epic, Cerner, Allscripts, athenahealth, eClinicalWorks, Meditech, NextGen) - Production experience implementing Patient Access APIs or Bulk FHIR APIs (CMS Rule compliant) - Production experience with HIE/HIN integrations and national networks (Carequality, CommonWell, eHealth Exchange, or TEFCA) FHIR & Healthcare Standards (Deep Knowledge) - Expert-level HL7 FHIR R4: resource models, profiles, extensions, search parameters, bulk data - Deep understanding of US Core IG (v3.1.1+, v4.0+, v5.0+, v6.0+) and USCDI v1-v4 - Proficiency with SMART on FHIR (OAuth 2.0, OpenID Connect, SMART scopes, backend services) - Strong knowledge of HL7 v2.x (ADT, ORM, ORU, SIU, MDM messages) - Experience with CDA/C-CDA documents (parsing, validation, FHIR conversion) - Understanding of clinical terminologies: SNOMED CT, LOINC, RxNorm, ICD-10, CPT, CVX - Knowledge of ONC certification, CMS regulations, and 21st Century Cures Act API & Integration Technologies - Strong experience designing and building RESTful APIs and FHIR APIs at scale - Proficiency with message queuing (Kafka, RabbitMQ, Event driven systems) - Experience with API security: OAuth 2.0, JWT, mTLS, rate limiting - Understanding of microservices, API gateways, and asynchronous processing patterns - Experience with using AI tools and agents to accelerate engineering best practices & implementation Required Technical Skills: Programming & Development - Strong Python skills (required) plus one of: Java, JavaScript/TypeScript, Go, C# - SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB, DynamoDB, Redis - Data formats: JSON, XML, FHIR JSON/XML, HL7 v2.x, CSV, Parquet - Data validation: JSON Schema, FHIR Validator, Schematron - Version control (Git), CI/CD pipelines, automated testing (pytest, JUnit, Jest) Data Engineering & Infrastructure - Distributed data processing: Apache Spark (PySpark, Spark SQL, Spark Streaming) - Containerization: Docker and Kubernetes (Deployments, Services, Helm) - Cloud platforms: AWS (preferred), Azure, or GCP - Data pipeline patterns: ETL/ELT, streaming, batch processing, CDC FHIR-Specific Skills (Critical) - Hands-on experience with FHIR servers: - FHIR validation tools: HL7 FHIR Validator, Inferno, Touchstone - Custom FHIR profiles, extensions, and implementation guides Preferred Qualifications: - Advanced Interoperability - Patient matching algorithms, probabilistic matching, MPI systems - Clinical data quality assessment, profiling, anomaly detection - Consent management frameworks (FHIR Consent, XACML, DS4P) - Payer data exchange: claims (837, 835), prior authorization, coverage determination Modern FHIR Implementation Guides: - Da Vinci Project: PDex, CDex, HRex, DTR, PAS - Gravity Project: SDOH Clinical Care IG - CARIN Blue Button for payer data access - FHIR Questionnaire/QuestionnaireResponse for structured data capture Specialized Integration: - Wearables/IoT: Apple HealthKit, Google Fit, Fitbit, FHIR Device/Observation - Pharmacy: NCPDP SCRIPT, Surescripts integration - Lab data: ORU/ORM messages, LOINC mapping, DiagnosticReport Advanced Technical: - LLMs/AI for clinical data extraction, normalization, terminology mapping - Open-source healthcare contributions (HAPI FHIR, Synthea, FHIR Converter) - HL7 FHIR certification or HL7 working group participation What Makes You Successful: - Deep technical curiosity and passion for solving complex healthcare data challenges - Strong debugging skills across multi-system integration issues - Attention to detail with commitment to data quality and patient safety - Self-directed with ability to drive projects independently - Excellent communication with ability to explain technical concepts to non-technical stakeholders - Collaborative mindset with willingness to mentor and share knowledge - Adaptability to rapidly changing healthcare regulations and standards - Security-first mindset with understanding of healthcare data sensitivity The target salary range for this position is $150,000 - $180,000 and is part of a competitive total rewards package including stock options, benefits, and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay. Data shows that women, people of color, and other underrepresented groups may be less likely to apply for jobs unless they believe they are a perfect match. But b.well holds diversity amongst its key values, and we have a strong commitment to building our workforce and products through that lens. You don't have to check every box in this job description to be a great fit for the role! If you're excited about this position and the prospect of working for b.well, please apply. If it turns out this role isn't for you, there may be other openings that could align with your experience and expertise! We are committed to an inclusive and diverse b.well. We are an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.

Job Description About Us HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we've achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~4500 midsize and multinational companies. Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. Fast-growing companies across the globe such as Monzo, Happy Socks, Fiverr, and VaynerMedia rely upon Bob to help them create the best work experiences for their people. Come and be you with us Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If that's bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, we're waiting with open arms. Come join us. We are looking for a Senior Data Engineer to join our Platform group in the Data Infrastructure team. You'll work hands-on to design and deliver data pipelines, distributed storage, and streaming services that keep Hibob's data platform performant and reliable. As a senior individual contributor you will lead complex projects within the team, raise the bar on engineering best-practices, and mentor mid-level engineers - while collaborating closely with product, DevOps and analytics stakeholders. About the Platform group The Platform Group accelerates Hibob's productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and maintain critical production systems, ensuring our platform can scale reliably. We also introduce new engineering capabilities to enhance our development process. As part of this group, you'll help shape the technical foundation that supports our entire engineering team. Job Requirements - 5+ years of hands-on experience in backend or data engineering, including 2+ years at a senior level delivering production systems - Strong coding skills in Python, Kotlin, Java or Scala with emphasis on clean, testable, production-ready code - Proven track record designing, building and operating distributed data pipelines and storage (batch or streaming) - Deep experience with relational databases (PostgreSQL preferred) and working knowledge of at least one NoSQL or columnar/analytical store (e.g. SingleStore, ClickHouse, Redshift, BigQuery) - Solid hands-on experience with event-streaming platforms such as Apache Kafka - Familiarity with data-orchestration frameworks such as Airflow - Comfortable with modern CI/CD, observability and infrastructure-as-code practices in a cloud environment (AWS, GCP or Azure) - Ability to break down complex problems, communicate trade-offs clearly, and collaborate effectively with engineers and product partners Bonus Skills - Experience building data governance or security/compliance-aware data platforms - Familiarity with Kubernetes, Docker, and infrastructure-as-code tools - Experience with data quality frameworks, lineage, or metadata tooling Job Responsibilities - Code & ship production-grade services, pipelines and data models that meet performance, reliability and security goals - Lead design and delivery of team-level projects - from RFC through rollout and operational hand-off - Improve system observability, testing and incident response processes for the data stack - Partner with Staff Engineers and Tech Leads on architecture reviews and platform-wide standards - Mentor junior and mid-level engineers, fostering a culture of quality, ownership and continuous improvement - Stay current with evolving data-engineering tools and bring pragmatic innovations into the team Benefits Join our village HiBob is a village filled with amazing people and we're especially proud of that. It's a place where Bobbers can be themselves. We're about fun, dreams, hopes and ambition, just as much as we are about precision, growth, and top performance. Becoming a Bobber means you'll receive competitive compensation, benefits, and pre-IPO equity alongside all of this: - Company share options plan - We have a flexible hybrid working model - Work from home allowance - to get your home office set up! - Payment for sick leave from the first day - 2 Social Impact days per year for volunteering - Annual Headspace subscription and wellness benefits - Awesome employee referral program - $2,500 for each successful referral with an additional ambassador programme - 10bis or Cibus/Wolt - you get to pick! - Transportation allowance - Dog-friendly - Temporary remote work from anywhere in the world for up to 2 months (after 6 months of employment) - Fun company and team social events (locally and virtually with our global teams) - Bob Balance Days - 4 additional days within a calendar year - Enjoy a company-wide long weekend at the beginning of each quarter If this sounds like something you've been looking for, we'd love to have you. Come on, join our village!

Role Description Você busca uma oportunidade 100% remota, com times distribuídos e uma cultura de colaboração, valorizando a confiança, autonomia e responsabilidade? Buscamos um(a) Engenheiro(a) de Dados Sênior para atuar em uma arquitetura moderna de dados na OCI (Oracle Cloud Infrastructure), com ingestão near–real time e processamento distribuído em PySpark. O papel envolve construir e evoluir pipelines robustos, garantir qualidade das camadas do modelo medalhão (Bronze → Platinum) e disponibilizar dados para consumo via MySQL HeatWave e Metabase. - Desenvolver e otimizar pipelines em PySpark (Bronze/Silver/Gold/Platinum). - Ingestão via EventHub, flat files e MongoDB (API). - Operar arquitetura Lakehouse em OCI (buckets, HeatWave, external tables). - Criar e manter DAGs no Airflow. - Automatizar processos com GitHub + GitHub Actions. - Implementar integrações e exports com Python + Metabase API. - Garantir padrões de qualidade, observabilidade e performance. Qualifications - Domínio avançado em PySpark, Python e SQL. - Domínio avançado em Modelagem de dados. - Domínio de Data Lake / Delta Lake. - Experiência com arquitetura medalhão e pipelines near–real time. - Experiência com Airflow e Git/GitHub Actions. - Experiência em infraestrutura em cloud (AWS, GCP, Azure, OCI...). - Integrações com APIs e MongoDB. Requirements - Conhecimento na Cloud OCI (Dataflow, buckets, HeatWave, external tables). - DataOps. - Governança de dados. - Observabilidade.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. Senior Data Engineer Hiring Location: Singapore What you'll do Part 1. Data Modeling - Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs. - Possess a deep understanding of data schemas and be able to select appropriate schema designs (e.g., star schema, snowflake, normalized vs denormalized) based on use cases. - Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models. - Understand and promote the concept of SSOT (Single Source of Truth) throughout the data layers and pipelines. - Maintain data consistency, traceability, and quality across multiple data sources and domains. Part 2. ETL and Data Pipeline Management - Experience building and maintaining both batch and streaming ETL pipelines, with a strong understanding of end-to-end data workflow - from data ingestion to transformation and delivery. - Able to work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to quickly identify root causes of data issues and provide efficient, scalable solutions. - Bonus if you've worked with data across distributed or multi-datacenter systems, including solving challenges related to data migration, duplication, and consistency. Part 3. Data Governance - Participate in and contribute to data governance strategies, policies, and standards. - Be familiar with any of the six key pillars of traditional data governance (e.g., data quality, data stewardship, metadata management, master data management, data privacy/security, data lifecycle). Part 4. Data + AI - We hope you have a basic understanding of AI and enjoy thinking about how data engineering and AI can work together in practical and creative ways. These four areas are the main focuses of the DE team. Ideally, you should be strong in at least one of them - especially data modeling or data ETL. If you also have experience or skills in the other areas, that would be a big plus. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - Bachelor's degree or higher in Computer Science, Information Systems, Finance, Mathematics, or a related field. - Minimum 5 years of proven experience designing and implementing ETL pipelines, with a strong understanding of the strategies, rules, and processes involved in building scalable and reliable data pipelines. - Experience with streaming data pipelines or real-time data processing technologies, such as Apache Kafka or Apache Flink. - Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions. - Familiarity with Google Cloud Platform (GCP) and modern data infrastructure tools, including Databricks and Airflow. - Knowledge of data governance practices and regulatory requirements within the financial industry. - Excellent problem-solving skills with strong attention to detail and a commitment to producing high-quality work. - Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment. - Outstanding verbal communication skills, with the ability to collaborate effectively with globally distributed teams. Preferred qualifications: - Experience with financial industries, payment systems, or fintech platforms. - Knowledge of data governance practices and regulatory requirements in the financial industry. - Experience with scripting languages (e.g., Python, R) for data analysis and automation. - Certification in data management or related technologies At Airwallex, you can make an impact in a rapidly growing, global fintech. We want you to share in our success, which is why you'll be offered a competitive salary plus valuable equity within Airwallex. We also like to ensure we create the best environment for our people by providing collaborative open office space with a fully stocked kitchen. We organise regular team-building events and we give our people the freedom to be creative. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.