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

Who we are Apartment List is the premier rental matchmaker, connecting ready-to-move renters with compatible city properties. Our renters benefit from cutting-edge technology and a personalized approach when we match them with curated properties that fit their wishlist. Meanwhile, our supply partners harness our generative AI and machine learning to efficiently connect with our qualified renters. With performance-based pricing, our partners’ success is our success as we strive to deliver renters a home they love at the value they deserve. About the Role We are seeking a Senior Data Engineer (L3) to help build and operate the reliable, scalable data systems that power analytics, experimentation, and decision-making across Apartment List. In this role, you will be a strong end-to-end executor responsible for delivering production-grade data pipelines and workflows that meet defined service-level agreements (SLAs) for freshness, quality, and cost. You will work closely with Analytics Engineering, Data Science, Product, and Engineering partners to deliver durable data platform improvements that support company-wide initiatives. The ideal candidate is comfortable owning medium-sized data platform projects end-to-end—from design through deployment and operational support—while working within established platform architecture and engineering patterns. This role emphasizes execution excellence, reliability, and operational ownership within existing platform standards. Platform-level architecture and system design are owned at more senior levels, but this role plays a critical part in ensuring that the platform functions reliably at scale. Responsibilities - Design, build, test, and deploy scalable and reliable data pipelines that power analytics and product decision-making. - Own medium-sized data platform initiatives end-to-end, from initial design through production deployment and operational support. - Design, migrate, and maintain data workflows in Apache Airflow, including supporting migration of legacy ETL systems to modern orchestration patterns. - Ensure pipeline reliability by proactively monitoring workflow SLAs for freshness, quality, and performance, and resolving failures efficiently. - Implement and utilize monitoring systems to detect pipeline failures, schema drift, and data quality anomalies. - Participate in on-call rotations and contribute to incident response and root cause analysis for data incidents. - Apply best practices in warehouse performance and cost optimization, including partitioning, indexing, and efficient data modeling to control BigQuery spend. - Build maintainable, modular data models and pipelines using reusable patterns and shared components across the team. - Partner closely with Analytics Engineering, Data Science, and business stakeholders to deliver durable improvements across the ingestion, transformation, modeling, and serving layers of the data platform. - Contribute to operational excellence through documentation, monitoring improvements, and participation in postmortems and reliability initiatives. Key Qualifications & Competencies - 5+ years of experience in data engineering, with a track record of delivering reliable production data pipelines and systems. - Strong experience designing and maintaining orchestration workflows using Apache Airflow. - Experience building scalable data pipelines using modern cloud data platforms such as BigQuery and tools such as DBT. - Strong understanding of data modeling, schema design, and building maintainable, modular data systems. - Experience implementing CI/CD best practices for data pipelines, including automated testing, validation, and deployment workflows to ensure reliable and repeatable production releases. - Experience monitoring and operating production data systems, including pipeline observability, data quality checks, and incident response. - Ability to identify performance and cost risks in large-scale data systems and implement optimizations. - Strong collaboration skills and experience working with cross-functional partners including analytics engineers, data scientists, and product teams. - Proven ability to independently execute medium-sized projects and deliver reliable, production-grade systems. Nice-to-haves - Familiarity with Kubernetes-based data infrastructure, including deploying and operating containerized data services and workflows in a production environment. - Experience migrating legacy ETL systems to modern orchestration frameworks. - Familiarity with observability and monitoring tools for data pipelines (e.g., Datadog or similar). - Experience operating data systems with strict SLAs for freshness, reliability, and cost efficiency. Here's the Pay Range: At Apartment List, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US Total Target Compensation (TTC) for this position is: - Zone 1: $148,000 - $180,000 TTC (including $133,000 - $158,400 base salary) + equity - Zone 2: $137,000 - $167,000 TTC (including $123,000 - $147,000 base salary) + equity - Zone 3: $126,000 - $153,000 TTC (including $113,000 - $135,000 base salary) + equity This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Apartment List will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process.

Role Description The Financial Services Division is seeking a Data Services Specialist to support a high-volume Data Services Department. The ideal candidate will possess strong data entry skills, comply with our service level agreements, meet assigned performance metrics, and apply great attention to detail while processing data to ensure accurate information is captured in organization records. We are looking for a team player who is able to work independently and according to departmental and organizational guidelines. - Nimble Membership processing - Direct Mail Process (DMP) Review - Daily Mail processing/review - Assisting with monthly miscellaneous projects as needed Qualifications - High School Degree required - 4 years of data entry experience required - Strong Microsoft Office Suite skills - Ability to successfully multi-task - Attention to detail - Demonstrated communication skills, both written and verbal Benefits - Industry competitive base pay ranging from $40,000 - $46,000 for this role - A culture of recognition including new hire welcome announcements, service anniversary awards, referral bonuses, monthly All Employee Assembly, appreciation awards - Generous Paid Time Off, including holidays, vacation days, personal days and sick days - Comprehensive benefits package including medical, dental, vision, Flexible Spending Accounts (FSA), disability & life insurance, pet insurance and retirement savings - Guided by our mission, we provide top tier diabetes supply coverage through our medical benefits program - A company focus on offering mental health programs and work/life balance with most of our employees working remote - Joining our dedicated team affords the gratification of knowing beyond a doubt that you will impact the lives and well-being of millions