Copy of Sr. Data Engineer
Posted on: May 11, 2022
Visa is a world leader in digital payments, facilitating more
than 215 billion payments transactions between consumers,
merchants, financial institutions and government entities across
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.
When you join Visa, you join a culture of purpose and belonging -
where your growth is priority, your identity is embraced, and the
work you do matters. We believe that economies that include
everyone everywhere, uplift everyone everywhere. Your work will
have a direct impact on billions of people around the world -
helping unlock financial access to enable the future of money
Join Visa: A Network Working for Everyone.
The Business Intelligence Solutions group within the Global Data
and Business Intelligence (GDBI) organization works with internal
stakeholders to enable faster decision-making, data democratization
and self-service through building innovative, scalable
best-in-class dashboard and reporting solutions. Our goal is to
empower and enable business partners to glean valuable insights
from Visa's unique global data assets.
In this role, you will be part of GBO (Global Business
Optimization) function in building and maintaining global data
assets and engineering solutions. We are looking expertise in data
warehousing and building large-scale data processing systems by
using the latest database technologies. The Data Engineer will take
ownership of building and running data pipelines, crafting our
local data warehouse and data frameworks, and catering for
different data presentation techniques.
As a Sr. Data Engineer, you will establish data processes, data
solutions, and automations, based on business and technical
requirements by leveraging Visa supported big data technologies and
* Should have strong problem-solving capabilities and ability to
quickly propose feasible solutions and optimally communicate
strategy and risk mitigation approaches to leadership.
* Extract, manipulate large datasets and build ETL pipelines in
Spark, Python, Presto, HIVE or SAS that process transactions and
standardize data fields across various data sources
* Build and maintain robust ETL processes, including data quality
and testing aligned across technology, internal reporting and other
* Utilize Visa's data analytics capabilities, technology, and
industry expertise to develop, standardized and implement BI data
* Find opportunities to create, automate repeatable financial and
statistical analyses or build streamlined data flows for business
* Develop solutions within an agile development process leveraging
Visa's single source of truth (SSoT) framework.
* Participate in business requirements gathering, effort sizing,
and architecture planning
* Provide operational production support.
* Communicate complex concepts and the results of the analyses in a
clear and effective manner.
This position is open to locations in Denver, CO, Arlington, VA and
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 two days a week, Tuesdays and
Wednesdays with a general guidepost of being in the office 50% of
the time based on business needs.
* 4-6+ yrs. Work experience with a Bachelor's Degree or 3+ years of
work experience with a Master's or Advanced Degree in an analytical
field such as computer science, statistics, finance, economics or
* 8-10+ yrs. Work experience with a Bachelor's Degree or 4+ years
of work experience with a Master's or Advanced Degree in an
analytical field such as Computer Science, Statistics, Finance,
Economics or relevant area.
* Strong experience in Big Data/Hadoop Environment creating large
scale data engineering pipelines, data-based decision-making, and
* Strong experience in writing and optimizing efficient SQL queries
with Python, Hive, Scala handling Large Data Sets in Big-Data
* Experience with sophisticated, high volume, multifaceted data, as
well as machine learning models based on unstructured, structured,
and streaming datasets
* Experience creating/supporting production software/systems and a
proven track record of identifying and resolving performance
bottlenecks for production systems
* Experience with Unix/Shell or Python scripting and exposure to
Scheduling tools like Oozie and Airflow
* Exposure to stream-processing systems like Apache Storm,
* Proven understanding of Hadoop ecosystem and associated
technologies, (For e.g. Apache Spark, MLlib, GraphX, iPython,
* Experience with visualization software (e.g.
Tableau/MicroStrategy) is a plus.
* Visa experience or knowledge of payments industry is a plus, but
This position has a minimum base salary of $115,700 and a midpoint
base salary of $150,000. The base pay may vary depending on
job-related knowledge, skills, and experience. In addition, this
position is eligible for annual bonus and equity.
Visa has adopted a COVID-19 vaccination policy to safeguard the
health and well-being of our employees and visitors. As a condition
of employment, all employees based in the U.S. are required to be
fully vaccinated for COVID-19, unless a reasonable accommodation is
approved or as otherwise required by law.
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the
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
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
Keywords: Visa, Arlington , Copy of Sr. Data Engineer, Engineering , Arlington, Virginia
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