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
About the role
As a Senior 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.
Primary responsibilities
- Experience in Requirement Gathering, Estimating, Managing large scale Data Engineering Projects.
- Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions.
- Data Modeling: Work with the Business team to implement data strategies, build data flows and develop conceptual data models.
- Data Pipeline Design: Create robust and scalable data pipelines and data products in a variety of domains.
- Data Integration: Develop and maintain data lakes by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets.
- Testing: Define and manage the data load procedures to reject or discard datasets or data points that do not meet the defined business rules and quality thresholds.
- Operations: Able to independently manage the data load operations of the solutions or products in scope and be able to debug, manage stakeholder communications and provide clarification on the data produced.
- Understanding of and ability to Implement Data Engineering principles and best practices.
- Stakeholder Management: Collaborate with stakeholders across the organization to understand their data needs and deliver solutions.
- Continuous Integration and Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines for data solutions, ensuring rapid, reliable, and streamlined updates to the data environment.
- Leverage AI on day to day tasks to bring in efficiency in implementation and quicker time to market.
- Use Claude Code or Github copilot to generate and refactor boilerplate PySpark jobs, Hive or Snowflake SQL, Airflow DAG scaffolding, and documentation, while retaining full ownership of review, hardening, validation, and production readiness.
- Define and maintain Claude agents and skills for recurring workflows such as requirement intake, code review, PySpark job generation, backfill planning, incident triage, and artifact documentation.
- Integrate Claude Code with Jira, GitHub, SharePoint, Airflow, and internal catalog or data-quality systems through MCP or comparable connector patterns.
- Build and evolve data quality checks, observability signals, and operational runbooks to improve reliability of the datasets
- Drive engineering best practices through GitHub workflows, code reviews, automated tests, schema controls, and safe deployment patterns for both on-prem and cloud components.
This is a hybrid position. Expectation of days in office 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:
- 2 or more years of work experience with a bachelor’s degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)
Preferred Qualifications:
- 3 or more years of work experience with a bachelor’s degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
- 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, including Postgres and Cassandra.
- 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
U.S. Applicants Only
The estimated salary range for this position is $123,000.00 to $ 190,900.00 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.