Staff Data Engineer

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description

To ensure that Visa’s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units.  The Internal AI & Data Science Practice group supports these partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Senior Data Engineers who are equally passionate about the opportunity to use Visa’s rich data to solve meaningful business problems.  You will join the Data Science team focused on improving our understanding of products and economic valuations, with an opportunity for rotation within Data Science to gain broad exposure to Visa’s business.
We are looking for a seasoned individual contributor who is comfortable engaging with business owners, data enthusiasts, and technology teams. Successful candidates have strong experience in developing complex data solutions for business improvements. 

• Help improve Visa’s decision-making by making data more accessible and relevant to key partners
• Develop deep partnerships with engineering, finance, and product teams to deliver on major cross-functional solution development
• Work with a team of talented data and analytics engineers with the ability to not only keep up with, but also pioneer, in this space.
• Create extract, transform, load (ETL) processes for easy ingestion and use
• Find opportunities to create, automate and scale repeatable financial and statistical analysis
• Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients
• Brainstorm innovative ways to use our unique data to answer business problems
• Collaborate with and influence leadership so that your teams work directly impacts company strategy and direction.
• Communicate effectively to all levels of the organization, including executives.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications
•8 years of work experience with a Bachelor’s Degree or at least 2 years of work
experience with an Advanced degree (e.g. Master’s, MBA, JD, MD) or 0 years of
work experience with a PhD degree

Preferred Qualifications
•6-8 years of work experience with a Bachelor’s Degree or 4-6 years of work
experience with an Advanced Degree (e.g. Master’s, MBA, JD, MD) or 3 years of
experience with a PhD
•4+ years’ experience in data-based decision-making or quantitative analysis
•Master’s degree in Statistics, Operations Research, Applied Mathematics,
Economics, Data Science, Business Analytics, Computer Science, or a related
technical field
•Exposure to Financial Services/ Payments data analytics and ETL
development.
•Experience in implementing ETL pipelines in Spark, Python, HIVE or SAS that
process transaction and account level data and standardization of data
pipelines.
•Advanced experience in writing and optimizing efficient SQL queries with
Python, Spark, Hive, Scala handling Large Data Sets in Big-Data Environments.
•Experience with Unix/Shell and exposure to Scheduling tools like Oozie and
Airflow.
•Experience building end-to-end automated pipelines for AI/ML models
including model training, model validation, model refit, model recalibration,
model monitoring, model servicing, etc.
•Experience with data visualization using Tableau, Power BI or similar tools
•Strong written, verbal, and interpersonal skills needed to effectively
communicate technical insights and recommendations with business
customers and leadership team.
•Good business acumen to orient data analysis to business needs of clients.
•Ability to translate data and technical concepts into requirements documents,
business cases and user stories.
•Ability to learn new tools and paradigms as data science continues to evolve at
Visa and elsewhere.
•Demonstrated intellectual and analytical rigor, team oriented, energetic,
collaborative, diplomatic, and flexible style.
•Previous experience with product valuations, financial engineering, customer
lifetime values or net present value methodologies

Additional Information

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.