Visa · 11 months ago
Staff Data Engineer
Atlanta, GA
Full-time
Hybrid
Senior Level, Lead/Staff
$132K/yr - $211K/yr
5+ years expVisa is a world leader in payments and technology, facilitating electronic payment systems globally. The Staff Data Engineer role involves leading a team of data engineers, managing projects, and driving key data engineering initiatives while collaborating with stakeholders to meet their data needs.
FinanceBankingPaymentsInformation TechnologyFinancial ServicesMobile Payments
No H1B
Responsibilities
Experience in Requirement Gathering, Estimating, Managing large scale Data Engineering Projects
Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions
Data Modeling: Work with the Business team to implement data strategies, build data flows and develop conceptual data models
Data Pipeline Design: Create robust and scalable data pipelines and data products in a variety of domains
Data Integration: Develop and maintain data lakes by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets
Testing: Define and manage the data load procedures to reject or discard datasets or data points that do not meet the defined business rules and quality thresholds
Deployment: Implement data strategies and develop physical data models, along with the development teams, data analyst teams and information system team to ensure robust operational data management systems
Understanding of and ability to Implement Data Engineering principles and best practices
Team Leadership: Lead and mentor a team of data engineers. Coordinate with other teams to manage and prioritize projects. Drive strategy, roadmap, and execution of key data engineering initiatives
Stakeholder Management: Collaborate with stakeholders across the organization to understand their data needs and deliver solutions
Qualification
Required
5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD
Experience in Requirement Gathering, Estimating, Managing large scale Data Engineering Projects
Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions
Data Modeling: Work with the Business team to implement data strategies, build data flows and develop conceptual data models
Data Pipeline Design: Create robust and scalable data pipelines and data products in a variety of domains
Data Integration: Develop and maintain data lakes by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets
Testing: Define and manage the data load procedures to reject or discard datasets or data points that do not meet the defined business rules and quality thresholds
Deployment: Implement data strategies and develop physical data models, along with the development teams, data analyst teams and information system team to ensure robust operational data management systems
Understanding of and ability to Implement Data Engineering principles and best practices
Team Leadership: Lead and mentor a team of data engineers. Coordinate with other teams to manage and prioritize projects. Drive strategy, roadmap, and execution of key data engineering initiatives
Stakeholder Management: Collaborate with stakeholders across the organization to understand their data needs and deliver solutions
Preferred
6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
Extensive experience in big data tools: Hadoop, Hive, and Spark
Proficiency in Scala, Python, SQL, and PySpark
Experience with Unix/Linux systems with scripting experience in Bash
Experience with data pipeline and workflow management tools like Airflow, etc
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
Experience with cloud services AWS or Azure
Experience with stream-processing systems: Kafka, Spark-Streaming, etc
Strong analytic skills related to working with structured & unstructured datasets
Proficiency in managing and communicating data warehouse plans to internal clients
Experience with building processes supporting data transformation, data structures, metadata, dependency, and workload management
A successful history of manipulating, processing, and extracting value from large, disconnected datasets
Benefits
Medical
Dental
Vision
401 (k)
FSA/HSA
Life Insurance
Paid Time Off
Wellness Program
Company
Visa
Visa is a multinational financial services company that facilitates electronic payment systems throughout the world.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknownKey Investors
TNB Financial Services
2016-09-10Post Ipo Equity
2008-03-19IPO
Leadership Team
Ryan McInerney
Chief Executive Officer
Chris Suh
EVP & Chief Financial Officer
Recent News
2026-02-26
2026-02-25
Company data provided by crunchbase