Sr. Data Engineer jobs in United States
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Visa · 1 hour ago

Sr. Data Engineer

Visa is a world leader in payments technology, facilitating transactions globally. The Senior Data Engineer will design and optimize data pipelines and cloud-based solutions, requiring deep technical expertise and collaboration across teams.

BankingFinanceFinancial ServicesInformation TechnologyMobile PaymentsPayments
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Comp. & Benefits
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Responsibilities

Design, build, and optimize scalable data pipelines for ingesting and processing structured and unstructured data within the Hadoop data lake and cloud environments
Architect and develop new data pipelines, data models, and analytical frameworks that provide intuitive, actionable insights to internal and external customers
Develop tools, automation, and self-service capabilities that enhance data accessibility and improve analytics efficiency across the organization
Create repeatable, automated data engineering processes that support business users and reduce manual operational efforts
Lead and execute data engineering projects of varying scope and complexity, both independently and as part of a cross-functional team
Partner with engineering, analytics, and product teams in high-visibility roles to deliver robust, end-to-end data solutions
Support the scoping, design, and development of analytic data assets and data products
Maintain and enhance data engineering best practices, governance standards, and scalable architectures across Hadoop and cloud platforms
Participate in R&D initiatives, infrastructure enhancements, and cross-team technology efforts

Qualification

HadoopSparkSQLAWSPythonDatabricksData modelingTableauPower BICollaborationProblem-solving

Required

2 or more years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience

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)
Proficient in Hadoop, Spark, PySpark, Scala, and Python for large‑scale data processing
Strong SQL skills with experience in performance tuning, indexing, and query optimization
Hands-on experience with relational and NoSQL databases, data modeling, and data warehousing
Expertise in writing, optimizing, and tuning SQL for high performance and efficient data retrieval
Skilled with Presto, Impala, SparkSQL, and Hive for big-data querying
Proficient in Tableau and Power BI for analytics and visualization
Strong experience with Databricks, including notebook/job optimization, Delta Lake, cluster management, CI/CD, and performance tuning
Skilled in AWS, GCP, and Azure for scalable data architectures using cloud-native tools for ingestion, processing, and orchestration
Advanced experience with Apache Spark for batch and near–real-time analytics
Experience designing, implementing, and managing relational (RDBMS) and non-relational (NoSQL) databases
Proficiency in data modeling and data warehousing methodologies supporting BI and analytics workloads

Benefits

Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program

Company

Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.

Funding

Current Stage
Public Company
Total Funding
unknown
Key Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO

Leadership Team

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Ryan McInerney
Chief Executive Officer
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Chris Suh
EVP & Chief Financial Officer
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Company data provided by crunchbase