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# Data Platform Engineer

- **Company:** Macquarie Group Limited
- **Location:** Houston, TX, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Unix, Cloud Computing, Software Quality, Databases, Data as a Services, Data Definition Language, Data Infrastructure, Linux, DevOps, Python (Programming Language), SQL Databases, Cloud Platform System, Data Ingestion, Data Lakes
- **Published:** October 27, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=98e31cab631ccb88

## About the Role

Join our Data Services team, where engineering, data science and analytics come together to build products that help trading teams make informed decisions and improve business operations. You will work in a collaborative environment that values practical innovation, ownership and high-quality delivery.
We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you're empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future., * A strong DevOps and software-engineering background, with demonstrated experience solving problems and building automation in data and cloud environments.

 * Hands-on Python development and testing experience, together with exposure to cloud technology; AWS experience is preferred.
 * Practical knowledge of Linux/Unix hosting platforms, with EKS and container experience viewed favorably.
 * Understanding of databases, data lakes, query engines, SQL and DDLs.
 * High attention to detail and a consistent focus on data quality, code quality and reliable delivery.

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

## Description

As a Data Engineer, you will develop and maintain data products across cloud infrastructure automation, data-ingestion pipelines, APIs, query engines and orchestration platforms. Working within a flat engineering structure, you will contribute to technical strategy, solve complex problems and take ownership of delivery using modern technologies.