• Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, and other Azure services • Own the data engineering framework, including pipeline patterns, orchestration standards, and reusable components • Collaborate with data scientists, Software engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions • Define, document, and enforce best practices for ADF, Databricks, Spark, and data modeling • Implement and maintain data storage solutions using Azure SQL Database, Azure Data Lake Storage, and Azure Cosmos DB • Ensure data quality and integrity by implementing data validation, cleansing, and transformation processes • Implement data quality checks, validation frameworks, and monitoring for critical data assets • Design and support governance patterns leveraging Databricks Unity Catalog and Azure-native controls • Develop and maintain documentation for data engineering processes and solutions

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA. About the Team/Role WEX is an innovative global commerce platform and payments technology company looking to forge the way in a rapidly changing environment, to simplify the business of doing business for customers, freeing them to spend more time, with less worry, on the things they love and care about. We are journeying to build a consistent world-class user experience across our products and services and leverage customer-focused innovations across all our strategic initiatives, including big data, AI, and Risk. How you’ll make an impact As a Staff Software Engineer, you will be a key technical leader responsible for the design, implementation, and maintenance of WEX's data lake platform. This role is central to our vision of creating a unified, scalable, and intelligent data infrastructure that supports both traditional analytics and next-generation AI/ML technologies. You will drive the technical development of the platform, ensuring our systems, services, and tools are built with a strong focus on security, quality, reliability, performance, and scalability. This position requires a technically deep and hands-on leader who can balance near-term execution with long-term architectural health. You will work closely with other senior engineers and teams across the organization, including Data & Analytics and Information Security, to understand business needs and guide the design, development, and productionalization of our data platform. This is a fantastic opportunity for a highly motivated and experienced engineer to make a real business impact by solving large-scale, complex problems in a fast-growing tech company. We are looking for an individual who is passionate about building robust data infrastructure and can mentor the next generation of engineers. Responsibilities - Platform Strategy & Leadership: Lead the technical vision, architecture, and strategy for the Data Lake platform. Drive the development roadmap to deliver a platform that meets both near-term business needs and long-term strategic goals. - Technical Execution & Innovation: Design and lead the implementation of our data lake platform and services. Challenge the status quo, championing innovative technical solutions that leverage data, AI, and modern engineering practices. - Cross-Functional Partnership: Partner closely with solutions architecture, product, and engineering teams to deeply understand business needs and design effective solutions. Collaborate with information security to ensure data privacy and access controls are a core part of the platform's design. - Mentorship & Team Development: Serve as a technical mentor to engineers, providing guidance on engineering principles, best practices, and skills. Foster a culture of continuous learning, innovation, and accountability for quality results. - Stakeholder Communication: Report on the status of development, quality, and system performance to management and partners. Advise senior leadership on complex technical initiatives and drive projects to achieve defined OKRs. Experience you’ll bring Experience: 10+ years of experience in software design and development, with a focus on building large-scale, distributed systems. Technical Depth: - Strong hands-on experience in software development, architecture, deployment, and production operations, preferably with Java / J2EE (Spring/Spring Boot). - Proficiency in languages like Python is highly desirable. - Deep expertise in building and operating Big Data platforms and large-scale data lakes. - Experience with Data Lakehouse formats such as Apache Iceberg, Apache Hudi, or Delta Lake is a significant plus. - Strong understanding of modern data processing tools and services (e.g., Spark, AWS Glue, dbt, Apache Polaris). Cloud & Infrastructure: - Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure. - Deep understanding of CI/CD automation, modern development tools, and frameworks. Leadership & Soft Skills: - Proven ability to lead and guide engineering teams, acting as a technical mentor and thought leader. - Excellent analytical skills with a proven ability to identify and resolve complex technical problems. - Strong written and verbal communication skills, with a philosophy of continuous improvement. Education: Bachelor's degree in Computer Science or a related technical field. A higher degree is a plus. Desired Attributes: Platform Engineering Focus We are specifically seeking candidates who have a strong background in building and operating platforms, frameworks, and foundational services for data teams. The ideal engineer will have demonstrably experience in: - Framework Development: Creating reusable libraries, REST APIs, and services that abstract complexity and accelerate feature development for other data engineers and data scientists. - Platform Ownership: Taking end-to-end ownership of core platform components, including performance tuning, cost optimization, security hardening, and reliability improvements. - Infrastructure as Code (IaC): Deep familiarity with tools like Terraform or CloudFormation for provisioning and managing cloud-native data infrastructure. - Operational Excellence: Designing for operational stability, implementing robust monitoring, alerting, and logging systems, and driving adoption of self-service tooling. - Enabling Data Mesh Principles: Experience in building centralized governance, discovery, and quality tooling that enables decentralized data ownership (data domains). - Data Engineering Expertise: Experience designing, building, and optimizing modern ETL/ELT pipelines using tools like dbt, Apache Airflow, and cloud-native services. The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section. Pay Range: $185,000.00 - $217,400.00

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: San Francisco 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, normalised vs denormalised) 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, Maths or a related field. - Minimum 5 years of proven of experience designing and implementing ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or similar data integration platforms. - Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions. - Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow. - Excellent problem-solving skills, with a keen 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 effectively collaborate 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. #BI-Hybrid

• Ensure the accurate, reliable, and consistent collection of data across diverse platforms and products • Design and enforce tracking governance, ensuring data integrity • Oversee the entire data lifecycle of tracking events • Empower teams to utilize data autonomously • Contribute to Docplanner’s data-driven culture and operational efficiency • Streamline and consolidate existing tools to create a more efficient data ecosystem