Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating  in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers. Here at Funding Societies | Modalku we live by our core values GETFS: - Grow Relentlessly: Strive to become our best, most authentic selves. - Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed. - Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation. - Focus on Impact: Create impact through bias for action and tangible results. - Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession. We are seeking a passionate **Senior Data Engineer** for the regional Data Team. This role requires you to design, develop and implement a cloud-based Data Warehouse, architect data ingestion from diverse sources into a central platform, write performant SQL, build and optimize ETL/ELT pipelines with dbt, tune and debug the DWH, and partner closely with Data Analytics, Data Science, and business stakeholders across our Financing and Payments products. As a senior member of the team, you will be expected to lead technical initiatives end-to-end and mentor other engineers. What you will do: - Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products. - Build and maintain modular, tested, and well-documented data transformation models using **dbt** on top of Snowflake. - Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration. - Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies. - Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs. - Champion data quality, governance, lineage, and cost efficiency across the data platform. - Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing.

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating  in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers. Here at Funding Societies | Modalku we live by our core values GETFS: - Grow Relentlessly: Strive to become our best, most authentic selves. - Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed. - Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation. - Focus on Impact: Create impact through bias for action and tangible results. - Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession. We are seeking a passionate **Senior Data Engineer** for the regional Data Team. This role requires you to design, develop and implement a cloud-based Data Warehouse, architect data ingestion from diverse sources into a central platform, write performant SQL, build and optimize ETL/ELT pipelines with dbt, tune and debug the DWH, and partner closely with Data Analytics, Data Science, and business stakeholders across our Financing and Payments products. As a senior member of the team, you will be expected to lead technical initiatives end-to-end and mentor other engineers. What you will do: - Design, develop and maintain scalable, production-grade data pipelines and build new API integrations to support growing data volume and complexity across our lending and payments products. - Build and maintain modular, tested, and well-documented data transformation models using **dbt** on top of Snowflake. - Lead high-impact data platform initiatives end-to-end-- from scoping and technical design through delivery, monitoring, and iteration. - Collaborate with analytics, data science, and business teams to evolve data models that power BI tools, regulatory reporting, and data-driven decision making across the organization. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL, Snowflake, dbt, and AWS big data technologies. - Partner with Executive, Product, Risk, Finance, and Engineering stakeholders to resolve data-related technical issues and support their data infrastructure needs. - Champion data quality, governance, lineage, and cost efficiency across the data platform. - Mentor junior and mid-level data engineers through code reviews, design reviews, and knowledge sharing.

Introduction Welcome to Gallagher - a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together. Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way. Overview Overview The Data Engineering Lead will be responsible for the design, development, implementation, and support of the Data Initiatives throughout Gallagher, ensuring that optimal data delivery architecture is consistent across ongoing projects. You will lead and mentor data engineers and data scientists, ensuring alignment with business goals and fostering collaboration across multiple teams, systems, and products. You will also oversee deliverables and provide ongoing support to ensure project success and operational excellence. Do you find the prospect of optimizing or even re-designing our company's integration and data architecture to support our next generation of products and data initiatives most exciting? We really should explore together. Please note additional position details below: - This is a Temp-To-Hire, W-2 position. We are not able to do 1099 or C2C. - It is a fully remote role that will need to be based in the U.S. - You must meet our U.S. Eligibility requirements for work authorization as noted under "Additional Information" at the bottom of the job description. How you'll make an impact How you'll make an impact Leadership and Strategy: - Lead requirements gathering, scope definition, and technical design of integration workflows, ensuring alignment with business objectives and providing strategic direction to the team. - Experience managing and mentoring a team of Data Engineers (onsite and offshore). - Proactively identify risks and uncertainties in data initiatives, and develop strategies to mitigate them while ensuring project success. Team and Stakeholder Management: - Provide leadership, direction, and coordination for development and support teams, including globally located resources, ensuring effective communication and collaboration. - Act as a liaison between technical teams and business users, ensuring that data solutions meet business needs and addressing concerns or uncertainties effectively. - Manage deliverables across multiple teams, ensuring timely completion and alignment with business priorities. Technical Contributions: - Seek out, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability. - Build the infrastructure required for optimal ETL/ELT pipelines to ingest data from a wide variety of data sources using Microsoft Azure technologies such as Azure Data Factory and Databricks. - Construct and maintain enterprise-level integrations using the Snowflake platform, Azure Synapse, Azure SQL, and SQL Server. - Create data tools for data analytics and data science team members that assist them in building and optimizing our product into an innovative industry leader. Problem Solving and Troubleshooting: - Lead troubleshooting efforts, driving root-cause analysis, and coordinating with infrastructure teams to resolve incidents while maintaining transparency with stakeholders. - Design analytics tools that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. - Provide ongoing support for data systems and integrations, ensuring reliability and performance while addressing issues promptly. About You About you Required: - A relevant technical BS Degree in Information Technology. - Proven experience in leading cross-functional teams, managing business users, and driving alignment between technical and business objectives. - 3+ years of experience leading a technical team. - 7+ years of data engineering experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server. - Experience with scripting tools such as Power Shell, Python, Scala, Java, and XML. - Understanding the pros and cons, and best practices of implementing Data Lake, using Microsoft Azure Data Lake Storage. - Experience structuring Data Lake for reliability, security, and performance. - Experience implementing ETL for Data Warehouse and Business Intelligence solutions. - Skills to read and write effective, modular, dynamic, parameterized, and robust code, establish and follow already established code standards, and ETL framework. - Strong analytical, problem-solving, and troubleshooting abilities. - Good understanding of unit testing, software change management, and software release management. - Knowledge of DevOps processes (including CI/CD) and Infrastructure as Code fundamentals. - Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement. - Experience working within an agile team. - Exceptional communication and interpersonal skills, with the ability to influence and guide stakeholders at all levels. - Demonstrated ability to manage relationships with business users, address their concerns, and ensure their needs are met through effective communication and collaboration. - Experience in navigating ambiguity and uncertainty in projects, with a track record of delivering successful outcomes. - Proven experience managing deliverables across multiple teams and providing ongoing support for data systems and integrations. #LI-NJ1 #Contingent #APintegration Compensation and benefits We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve: - Medical/dental/vision plans, which start from day one! - Life and accident insurance - 401(K) and Roth options - Tax-advantaged accounts (HSA, FSA) - Educational expense reimbursement - Paid parental leave Other benefits include: - Digital mental health services (Talkspace) - Flexible work hours (availability varies by office and job function) - Training programs - Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing - Charitable matching gift program - And more... **The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process. We value inclusion and diversity Click Here to review our U.S. Eligibility Requirements Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

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.