Build and enhance Airflow workflow definitions using Python and develop backend services, APIs, and user interfaces for a workflow orchestration platform.
Responsibilities
Build and enhance Airflow workflow definitions using Python
Build reusable components, APIs, and services that support workflow automation at scale in AWS
Partner with platform engineering teams to integrate approved Airflow operators, templates, libraries, and deployment practices
Develop tools that enable teams to create and manage Airflow workflows through a common specification model
Develop validation, testing, and error-reporting capabilities to improve workflow quality and reliability
As a Lead Data Engineer, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
Responsibilities
Design, build, and operate production-grade data pipelines that ingest, clean, transform, and aggregate data from disparate sources to deliver trusted data products
Evolve logical and physical data models that create a comprehensive view of user flows, system dependencies, resiliency signals, and risk measures, and develop new models that support prediction and decisioning where appropriate
Translate business, risk, and control requirements into implementable technical designs and a pragmatic delivery plan, partnering with architects, data engineers, analysts, and stakeholders across a matrix organization.
Contribute to the broader data architecture strategy that underpins resiliency analytics and risk modeling, including integration and interoperability across data sources and systems
Implement and continuously improve data quality management, metadata management, and data governance practices to increase reliability, explainability, and auditability, and enable data lineage and traceability across sources, transformations, and curated outputs
Lead end‑to‑end delivery, integration, and operational management of airline Revenue Management platforms, focusing on PROS RM, Group Sales Optimizer, and integration with the Amadeus ecosystem.
Responsibilities
Own product delivery roadmap, backlog, release planning, and lifecycle management
Translate business requirements into technical specifications, integration designs, and acceptance criteria
Manage integrations and data flows across PROS, Amadeus Altéa Inventory, RAAV, schedules, fares, bookings, inventory, and revenue‑related systems
Monitor interface performance, data quality, and operational SLAs
Coordinate cross‑functional delivery across internal technology, data, platform, and integration teams
Requirements
Bachelor's degree in Computer Science, Engineering, Operations Research, or a related discipline
Senior Sales Engineer responsible for technical strategy and pre‑sales support across Switzerland.
Compensation
The base salary range for this job family is 105,000 to 189,700 CHF annually. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.
Responsibilities
Partner with Account Executives to drive new business opportunities and secure technical wins
Lead discovery conversations to understand customer requirements
Assess and document customer environments
Deliver presentations, demonstrations, workshops, and Proof of Value engagements
Act as a trusted advisor to technical and executive stakeholders
Design, build, and operate high-throughput backend services that power insurance and fintech products across the Expedia platform
Compensation
The total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Responsibilities
Design, build, and operate high-throughput backend services that power insurance and fintech products across the Expedia platform
Lead and contribute to complex, cross-team initiatives that require coordination across dozens of systems (pricing, checkout, booking, servicing, etc.)
Develop scalable APIs, pricing engines, and data models to support dynamic and synthetic product offerings
Contribute to zero-to-one product launches and rapidly iterate post-launch to expand capabilities across brands and markets
Write clean, maintainable, and testable code with a strong focus on performance, reliability, and scalability
Requirements
Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.
Back‑End Developer responsible for building and maintaining high‑quality Node.js, NestJS, TypeScript and JavaScript microservices and APIs that support Vodafone’s digital transformation.
Responsibilities
Develop and maintain high‑quality Back‑End digital solutions, services and reusable components supporting web and mobile applications.
Build modern Back‑End solutions using Node.js, NestJS, TypeScript and JavaScript (ES6+).
Design, develop and maintain microservices, REST APIs, web services and system integrations.
Enable reliable and secure data exchange between applications, services and internal or external enterprise platforms.
Improve the performance, reliability, security, scalability and maintainability of digital products.
Requirements
Bachelor's Degree in Computer Science, Software Engineering or a related technical field, or equivalent professional experience.
A Senior DevOps Engineer focused on enterprise DevOps transformation and modern software delivery pipelines, building standardized, secure, and reliable CI/CD capabilities.
Compensation
In addition to the salary range, this role is eligible for bonus or incentive opportunities
Responsibilities
Drive the enterprise migration from legacy DevOps platforms to GitHub, helping modernize and streamline software delivery practices.
Partner closely with software engineering teams to design, implement, and optimize DevOps solutions.
Collaborate with architecture teams to translate strategic technology direction into scalable, actionable solutions.
Gather and evaluate requirements from teams adopting new DevOps platforms and capabilities.
Lead platform rollout and adoption initiatives, ensuring a seamless transition and strong user engagement across the organization.
Design, develop, and maintain software solutions that support engineering data acquisition, storage, analysis, reporting, and business processes.
Compensation
The salary range for the Software Engineer - Data & Engineering Applications is $104,100 - $162,900 annually.
Responsibilities
Design, develop, and maintain software solutions that support engineering data acquisition, storage, analysis, reporting, and business processes.
Develop and support scalable data ingestion, transformation, and integration solutions that enable efficient access to engineering and test data.
Build and enhance engineering applications, services, and tools that improve productivity, automation, and data-driven decision making.
Collaborate with engineering stakeholders to understand business requirements and translate them into maintainable software and data solutions.
Design and implement data models, data integrations, and platform capabilities that support long-term growth, performance, and reliability.
Requirements
Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Data Engineering, Electrical Engineering, or a related technical field.
Lead Data EngineerJPMorgan Chase & Co. · Irvine, US
Senior Sales EngineerArctic Wolf · Remote, Switzerland
Senior Dev Ops EngineerCharles Schwab Inc. · Lone Tree, US
Software Engineer - Data & Engineering ApplicationsPACCAR · Mount Vernon, US
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