Data Engineer

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.

Job Description

Overview:

With data being the fuel that drives our future - our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.

Led by Visa’s first Chief Data Officer, the Global Data Office coordinates high-impact, complex, company-wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data-related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change-agents and passionate about the future of data around the world.

About the Team:

We are a Data Engineering team within GDO, responsible for designing, building, and optimizing data pipelines and platforms that power Visa’s analytics, and decisioning capabilities. Our focus is on data quality, scalability, and reliability, enabling seamless integration of complex datasets across regions. By partnering with product and business teams, we ensure that data-driven solutions deliver measurable impact and support Visa’s global innovation strategy.

About the role:

As a Data Engineer, you will play a critical role in designing and delivering scalable, high-quality data solutions that enable intelligent decision-making across Global Data Engineering capabilities. You will leverage your expertise to design and implement large-scale data pipelines and integrated data solutions using the latest technologies, ensuring efficient data storage, processing, and presentation. You will also build and utilize advanced data modeling frameworks and adopt modern architectural patterns such as Medallion Architecture to deliver well-structured, efficient, and future-ready data solutions.

Key Responsibilities:

• Build and manage large scale ETL processes to generate card level aggregated attributes.
• Ability to build modular and reusable codes considering the configurability and scalability while adhering to low-level design
• Perform thorough unit testing of each development task and document the test results using standard defined templates
• Build, schedule, and manage DAGs in Apache Airflow efficiently
• Monitor data processing tasks in the Data pipelines in Airflow
• Ensure quality control of data assets, reconciling data loaded across different stages in the data pipeline
• Utilize strong data analytics skills to identify, discuss, and promptly fix data issues
• Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations
• Collaborate and communicate with stakeholders for requirement understanding and clarifications
• Maintain the highest level of quality and detail-oriented approach in daily tasks
• Adhere to agile principle and actively participate in all the scrum ceremonies.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.


Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

• Minimum of 6 months of work experience or a bachelor's degree.

Preferred Qualifications:

• 2 or more years of work experience.
• 1-3 yrs. work experience with a bachelor’s degree with specialization in computer science, data engineering, information science, electronics, etc.
• Hands-on data engineering experience building and operating production data pipelines.
• Extensive experience in Hadoop ecosystem and associated technologies, (For e.g. Apache Spark, Python, Pandas etc.), Open table formats (e.g. Iceberg)
• Proficiency in Python, SQL, and PySpark.
• Experience with Unix/Linux systems with scripting experience in Bash.
• Experience with data pipeline and workflow management tools like Airflow, etc.
• Experience with relational SQL and NoSQL databases
• Practical experience with AWS data engineering services, especially S3, EMR, and Glue Catalog.
• Strong analytic skills related to working with structured & unstructured datasets.
• Proficiency in managing and communicating data warehouse plans to internal clients.
• Experience with building processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Experience designing for data quality, resiliency, and observability, including validation checks, monitoring, alerting, and runbooks
• Practical experience using generative AI tools such as Claude code or similar systems to accelerate coding, documentation, or incident analysis while applying appropriate review controls.
• Strong communication skills and the ability to convert ambiguous business requirements into clear technical implementation plans.
• Experience with platforms such as databricks or snowflake

Information for US Applicants

For roles located in the US, the estimated salary range for this position is $112,400.00 to $ 174,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

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 protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.