Senior Data Ops Engineer

Company Description

Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive.

When you join Visa, you join a culture of purpose and belonging – where your growth is priority, your identity is embraced, and the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world – helping unlock financial access to enable the future of money movement.

Join Visa: A Network Working for Everyone.

Job Description

What's it all about?

We are a small group of highly technical engineers within the Global Data Solutions team, and we want to make Visa a brilliant place to work with data!

We are passionate about providing an outstanding developer experience that improves the efficiency and productivity of Data Scientists across the company. We do this by building and maintaining data assets and tools that are used every day to develop, iterate on, and deploy data analyses and predictive models.

Our data pipelines are written in HiveQL and PySpark. Our tools are mostly written in Python, with the odd Bash script and Makefile. We love automation and use Airflow and GitHub Actions regularly.

We encourage everyone to learn new things and show others. We devote around 20% of our time to work on innovative technology and shape the way we will work in the future.

What we expect of you, day to day

In this individual contributor role, you will play a critical part in our continued growth by providing technical leadership to internal and client-facing Data Science teams.

In particular, you will:

• Craft and maintain robust and scalable data pipelines and tools

• Drive engineering best practices and set standards, helping to ensure consistency

• Act as technical liaison with Data Platform and other technical teams to advocate for infrastructure needs

• Research and implement new tools and technologies to support innovation

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.

Qualifications

We look for diverse talent and focus more on your desire to solve hard problems and learn together rather than specific work experiences or qualifications.

You should have significant hands-on experience with modern tools for building data and ML pipelines. You should also be familiar with DevOps practices such as Git and CI/CD.

We run entirely on-premises for now, but would welcome functional knowledge of any cloud computing platform.

Additional Information

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.