Sr. Data Engineer
AI in this role
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
Role Summary:
Sr. Data Engineers are responsible for collaborating with stakeholders, including product teams, business partners, and cybersecurity, to identify and clarify requirements for data-driven features and products. They independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features. Sr. Data Engineers create and document technical designs for components, identify systems, architectures, tools, and storage needs, and present technical solutions to peers. They stay current with market trends and industry dynamics, applying this knowledge to drive innovation and ensure the safety and security of product components.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:
- Collaborate proactively with stakeholders to clarify requirements and identify key product stakeholders.
- Review technical requirements, escalate potential design issues, and create component designs and documentation.
- Implement code, apply coding patterns and best practices, and adhere to security requirements.
- Participate in code reviews, apply feedback, and take ownership of data products or pipeline components.
- Conduct unit testing, coding standards, and security scans; participate in user acceptance testing.
- Build tools and simple automation processes for transforming, managing, accessing, deploying, and monitoring data processes.
- Create queries to extract and compile raw data, implement orchestration techniques, and validate data quality.
- Ensure adherence to data management principles, governance, and performance monitoring protocols.
- Contribute to troubleshooting guidance and procedures for reviewing and fixing problems flagged by testing.
- Address routine client requests requiring technical knowledge and support software upgrades and server patches for security remediation.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.
Qualifications
Basic Qualifications:
- 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience.
Preferred Qualifications:
- Specialist: 4 or more years of relevant work experience.
- Experience in presenting technical solutions and capabilities to peers.
- Experience in collaborating with cross-functional teams to clarify requirements and define technical solutions.
- Experience in designing and documenting technical components for data products or pipelines.
- Experience in implementing code and applying coding standards and security requirements.
- Experience in conducting unit testing and participating in user acceptance testing.
- Experience in building automation tools for data processes.
- Experience in creating queries and implementing data extraction and transformation techniques.
- Experience in ensuring data quality and performance monitoring.
- Experience in troubleshooting and resolving pipeline issues.
- Experience in supporting software upgrades and security remediation.
- Experience in staying current with market trends and applying industry knowledge to innovation.
- Experience in participating in code reviews and mentoring peers.
- Experience in addressing client requests requiring technical knowledge.
Information for US Applicants
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.How we score this
Sr. Data Engineer at Visa scores 20 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used ChatGPT hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: ChatGPT and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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