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Software Engineer II - BDX Developer

Job in Washington, District of Columbia, 20022, USA
Listing for: Booking Holdings, Inc.
Full Time position
Listed on 2026-06-23
Job specializations:
  • Software Development
    Backend Developer, DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 200000 - 250000 USD Yearly USD 200000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Software Engineer II - BDX Developer Experience

About Us

At , data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make.

Through our products, partners and people, we make it easier for everyone to experience the world.

About the Team

(USA), Inc is seeking a full time Software Engineer in Washington, DC for the BDX Dev Ex team within the Data and Machine Learning Platform department. Our team is focused on improving developer productivity across the BDX data platform, with a particular emphasis on PySpark workflows and dbt workflows. We build and maintain the tooling, platform integrations, and paved paths that help internal customers (Data Scientists, ML and Data Engineers, and Analyst community) develop, test, publish, and operate data workflows with confidence.

This includes foundational Python-based SDKs, workflow frameworks, and the broader dbt experience on BDX, so that data producers and consumers can work with ’s data ecosystem in a reliable, scalable, and low-friction way.

Role Description

As a Software Engineer on the BDX Developer Experience team, you will design, build, and maintain the core developer tools, SDKs, and platform integrations that our internal engineers rely on every day. You will take full ownership of the end-to-end developer experience for data practitioners, moving beyond basic pipelines to build intuitive, high-performance tooling. This role sits at the intersection of backend engineering, data platforms, and developer advocacy, requiring you to navigate complex architectures while keeping friction low for the users of our internal Python SDKs, workflow frameworks, and dbt
.

Key Job Responsibilities and Duties
  • Own Core Tooling: Design, build, and maintain core developer tooling including Python SDKs and workflow frameworks used company-wide.

  • Enhance Analytics Workflows: Own and optimize the dbt experience for the BDX platform, enabling analysts and data engineers to build reliable data transformations.

  • Drive Technical Execution: Contribute to technical design and implementation for backend platform projects from inception to production.

  • Ensure Quality: Establish and maintain CI/CD pipelines, including comprehensive automated tests for all developer-facing tools and backend services.

Important Aspects of the Job Include:
  • Take initiative to address the larger technical needs of the product you work on and always keep the customer at the center of everything you do.

  • Promote and drive impactful and innovative engineering solutions.

  • Advocate for best engineering practices within the team.

  • Act as an intermediary for problems, with both technical and non-technical audiences.

  • Contribute to the growth of  through interviewing, on-boarding, or other recruitment efforts.

Role Qualifications and Requirements
  • Engineering Foundation: 3+ years of experience in software development, with strong hands‑on experience in Python and a focus on backend, platform, or data engineering.

  • Developer Experience Mindset: Experience building or maintaining internal developer tooling such as SDKs, libraries, platform integrations, APIs, or workflow frameworks.

  • Tooling Expertise: Hands‑on experience with Spark
    , including PySpark-based data workflows, and experience with data transformation and orchestration tools, specifically dbt
    , Airflow or similar tools, and modern CI/CD engineering practices.

  • Data Platform

    Experience:

    Hands‑on experience with AWS, and/or Snowflake or similar data platforms.

  • Operational Ownership: Comfortable owning production systems, handling incidents, debugging cross‑system issues, and improving reliability, performance, and developer experience over time.

  • Communication and

    Collaboration:

    Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.

  • Customer-first Mindset: A customer‑first approach to internal platform engineering, with a focus on reducing friction and improving developer productivity for…

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