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Sr. Data Engineer - job 25 of 29

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Job Description:

As a Senior Data Engineer, you'll join our Value Added Services – Digital Marketing & Engagement organization. You will help design, enhance, and build our data infrastructure and pipelines within an agile development environment, collaborating with colleagues who will support and challenge you daily.

Key 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.

Essential Functions:

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.

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Visa is not offering relocation assistance for this role.

Average salary estimate

$135000 / YEARLY (est.)

min

max

$120000K

$150000K

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What You Should Know About Sr. Data Engineer, Visa

As a Senior Data Engineer at our dynamic company in Foster City, you'll be stepping into a role that thrives on collaboration and innovation. You'll be a crucial part of our Value Added Services team, specifically within Digital Marketing & Engagement. Each day, you will get to roll up your sleeves and design, develop, and optimize our data infrastructure and pipelines, ensuring they are robust, efficient, and deliver real value. Working in an agile environment, you’ll collaborate with colleagues who will both support you and challenge your thinking, ensuring continuous growth and improvement. Your technical skills with containerization technologies like Docker and Kubernetes, coupled with your expertise in programming languages such as Java and Python, will be pivotal as you enhance our data processing capabilities. Additionally, your familiarity with Hadoop, Spark, and Scala will allow you to architect secure and scalable data solutions. Mentorship is key in this role, as your guidance will nurture our talent and foster an atmosphere of accountability. Lastly, your ability to communicate effectively with both technical and non-technical teams will ensure that diverse voices are heard and that we collectively achieve our goals. If you're passionate about data and eager to make a significant impact, we invite you to come aboard as our Senior Data Engineer!

Frequently Asked Questions (FAQs) for Sr. Data Engineer Role at Visa

What are the responsibilities of a Senior Data Engineer at the company?

As a Senior Data Engineer, your responsibilities include designing, developing, and maintaining robust data pipelines and ETL processes. You will lead proof of concept initiatives, collaborate with cross-functional teams, and champion the creation of highly secure and scalable data solutions.