About Us

Help us enable everyone on the planet to gain access to the global economy by being the best way to pay and be paid.

Size: 10000+ employees
Industry: Technology, Fintech, Engineering, Information Technology

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Company Description

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

The Senior Data Engineer will design, build, and optimize scalable data pipelines, cloud-based data solutions, and advanced analytics frameworks that support Visa’s enterprise data ecosystem. This role requires deep technical expertise, cross-functional collaboration, and ownership of end‑to‑end data engineering initiatives.

Responsibilities:

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• Design, build, and optimize scalable data pipelines for ingesting and processing structured and unstructured data within the Hadoop data lake and cloud environments.
• Architect and develop new data pipelines, data models, and analytical frameworks that provide intuitive, actionable insights to internal and external customers.
• Develop tools, automation, and self-service capabilities that enhance data accessibility and improve analytics efficiency across the organization.
• Create repeatable, automated data engineering processes that support business users and reduce manual operational efforts.
• Lead and execute data engineering projects of varying scope and complexity, both independently and as part of a cross-functional team.
• Partner with engineering, analytics, and product teams in high-visibility roles to deliver robust, end-to-end data solutions.
• Support the scoping, design, and development of analytic data assets and data products.
• Maintain and enhance data engineering best practices, governance standards, and scalable architectures across Hadoop and cloud platforms.
• Participate in R&D initiatives, infrastructure enhancements, and cross-team technology efforts.
  This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Visa does not offer relocation assistance or immigration sponsorship for this role, now or in the future.

Qualifications

Basic Qualifications:

• 2 or more years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

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)- Proficient in Hadoop, Spark, Py Spark, Scala, and Python for large‑scale data processing.
• Strong SQL skills with experience in performance tuning, indexing, and query optimization.
• Hands-on experience with relational and NoSQL databases, data modeling, and data warehousing.
• Expertise in writing, optimizing, and tuning SQL for high performance and efficient data retrieval.
• Skilled with Presto, Impala, SparkSQL, and Hive for big-data querying.
• Proficient in Tableau and Power BI for analytics and visualization.
• Strong experience with Databricks, including notebook/job optimization, Delta Lake, cluster management, CI/CD, and performance tuning.
• Skilled in AWS, GCP, and Azure for scalable data architectures using cloud-native tools for ingestion, processing, and orchestration.
• Advanced experience with Apache Spark for batch and near–real-time analytics.
• Experience designing, implementing, and managing relational (RDBMS) and non-relational (NoSQL) databases.
• Proficiency in data modeling and data warehousing methodologies supporting BI and analytics workloads.

Additional Information

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 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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is $110,700 to $171,800 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.

Client-provided location(s): Bellevue, WA

Job ID: 70ed2a6b-9eed-42f6-8819-d43b00ddef22

Employment Type: OTHER

Posted: 2025-12-29T23:31:05
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Perks and Benefits

Health and Wellness

• Long-Term Disability
• HSA With Employer Contribution
• On-Site Gym
• Health Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Short-Term Disability
• Health Reimbursement Account
• Mental Health Benefits
• Virtual Fitness Classes
• HSA

Parental Benefits

• Fertility Benefits
• Family Support Resources
• Birth Parent or Maternity Leave
• Non-Birth Parent or Paternity Leave

Work Flexibility

• Flexible Work Hours
• Remote Work Opportunities
• Hybrid Work Opportunities

Office Life and Perks

• Commuter Benefits Program
• Company Outings
• On-Site Cafeteria
• Holiday Events
• Happy Hours
• Casual Dress

Vacation and Time Off

• Paid Holidays
• Paid Vacation
• Volunteer Time Off
• Summer Fridays
• Leave of Absence
• Personal/Sick Days

Financial and Retirement

• 401(K)
• Relocation Assistance
• Performance Bonus
• Stock Purchase Program
• Company Equity
• 401(K) With Company Matching
• Financial Counseling

Professional Development

• Shadowing Opportunities
• Access to Online Courses
• Promote From Within
• Learning and Development Stipend
• Tuition Reimbursement
• Mentor Program
• Leadership Training Program
• Associate or Rotational Training Program
• Lunch and Learns
• Internship Program
• Professional Coaching

Diversity and Inclusion

• Diversity, Equity, and Inclusion Program
• Employee Resource Groups (ERG)

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