Visa · 4 hours ago
Sr. Data Engineer
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries. As a Senior Data Engineer, you'll help design, enhance, and build data infrastructure and pipelines within an agile development environment, collaborating with colleagues to tackle meaningful challenges and create impactful solutions.
BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments
Responsibilities
Design, develop, and maintain robust and scalable data pipelines and ETL processes
Ensure data services are highly available, secure, scalable, and resilient
Drive innovation to differentiate our data products and accelerate time-to-market delivery
Utilize containerization technologies such as Docker and Kubernetes, and expertise in Java, Python, and both relational and non-relational databases
Apply your data engineering skills with Hadoop, Spark, and Scala
Represent the team in various technical forums and build deep partnerships with product management
Analyze business requirements to architect highly secure, robust, and scalable data solutions
Lead internal proof of concept initiatives and quickly design and implement prototypes
Champion efforts to design and implement components of our global data processing systems
Follow and create software best practices and processes
Mentor team members and create an atmosphere of mutual accountability
Play a key role in meetings and discussions with cross-functional and non-technical teams
Collaborate with customers to understand their requirements and build solutions that deliver real value
Architect, design, and implement secure, robust, and scalable data solutions
Drive proof of concept initiatives and lead implementation
Mentor team members and foster a culture of mutual accountability
Engage in meetings and discussions with cross-functional teams
Work in a hybrid environment, alternating between remote and office work
Qualification
Required
2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience
Design, develop, and maintain robust and scalable data pipelines and ETL processes
Ensure data services are highly available, secure, scalable, and resilient
Drive innovation to differentiate our data products and accelerate time-to-market delivery
Utilize containerization technologies such as Docker and Kubernetes, and expertise in Java, Python, and both relational and non-relational databases
Apply your data engineering skills with Hadoop, Spark, and Scala
Represent the team in various technical forums and build deep partnerships with product management
Analyze business requirements to architect highly secure, robust, and scalable data solutions
Lead internal proof of concept initiatives and quickly design and implement prototypes
Champion efforts to design and implement components of our global data processing systems
Follow and create software best practices and processes
Mentor team members and create an atmosphere of mutual accountability
Play a key role in meetings and discussions with cross-functional and non-technical teams
Collaborate with customers to understand their requirements and build solutions that deliver real value
Architect, design, and implement secure, robust, and scalable data solutions
Drive proof of concept initiatives and lead implementation
Mentor team members and foster a culture of mutual accountability
Engage in meetings and discussions with cross-functional teams
Work in a hybrid environment, alternating between remote and office work
Preferred
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)
Demonstrated leadership in delivering high-quality, large-scale, enterprise-class data applications
Solid experience in big data engineering, with knowledge of Hadoop, Apache Spark, Python, and SQL
Expertise in Java, REST APIs, and container-based technologies (Docker, Kubernetes)
Proficiency in creating and managing large-scale data pipelines and ETL processes
Experience developing and maintaining Spark pipelines and productizing AI/ML models
Proficient in technologies like Kafka, Redis, Flink, TensorFlow, Triton, and AWS services
Skilled in Unix/Shell or Python scripting and scheduling tools like Airflow and Control-M
Strong experience with data storage technologies and databases (e.g., MySQL, PostgreSQL, MongoDB)
Familiarity with Agile development, TDD, CI/CD, and various data warehousing solutions
Proven track record of building reliable, scalable, and operable data applications
Ability to manage component security analysis and collaborate with security teams
Strong work ethic, focus on immediate goals, and proven experience as a technical leader
Passion for mentoring and helping juniors grow professionally
Excellent communication and interpersonal skills, and a strong team player
Benefits
Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program
Company
Visa
Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.
H1B Sponsorship
Visa has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (459)
2024 (424)
2023 (416)
2022 (515)
2021 (351)
2020 (407)
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO
Recent News
2026-02-06
Company data provided by crunchbase