Data Engineer - Sr. Consultant level

  • Austin, TX
  • Posted 22 days ago | Updated 6 hours ago

Overview

On Site
USD 170,498.00 - 251,500.00 per year
Full Time

Skills

Finance
Network
Fraud
Software Development
Collaboration
SLA
Analytical Skill
Brainstorming
Data Governance
Analytics
Evaluation
Data Engineering
Project Delivery
Budget
Mentorship
Telecommuting
Computer Science
Apache Hadoop
MapReduce
Apache Hive
NoSQL
MySQL
Apache Kafka
Apache Spark
Streaming
Extract
Transform
Load
ELT
Data Quality
Splunk
Java
Python
Data Processing
High Availability
Agile
Continuous Integration and Development
Continuous Integration
Continuous Delivery
System Integration Testing
Law
Sales
Payments
FSA
Life Insurance

Job Details

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

Visa Technology & Operations LLC, a Visa Inc. company, needs a Data Engineer - Sr. Consultant level (multiple openings) in Austin, TX t:o

  • Design, enhance, and build next generation fraud detection solutions in an agile development environment.
  • Formulate business problems as technical data problems while ensuring key business drivers are captured in collaboration with product stakeholders.
  • Drive development effort end-to-end for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision and comply with all applicable standards.
  • Responsibilities span all phases of solution development.
  • Collaborate with project team members (Product Managers, Architects, Analysts, Developers, Project Managers, etc.) to ensure development and implementation of new data driven business solutions.
  • Work with architects where applicable or work as architect with senior technologists to develop architecture and design.
  • Lead team to deliver all code commitments and ensure a complete end-to-end solution that meets and exceeds business expectations.
  • Identify proper service metrics and measurements for ensuring performance against Service Level Agreement.
  • Assist in scoping and designing analytic data assets, implementing modelled attributes, and contributing to brainstorming sessions.
  • Build and maintain a robust data engineering process to develop and implement self-serve data and tools for Visa's data scientists.
  • Perform other tasks on data governance, system infrastructure, analytics tool evaluation, and other cross-team functions, as needed.
  • Find opportunities to create, automate and scale repeatable analyses or build self-service tools for business users.
  • Execute data engineering projects ranging from small to large either individually or as part of a project team.
  • Ensure project delivery within timelines and budget requirements.
  • Mentor and train other juniors on the team on key solutions.
  • Work on multiple projects and initiatives with different/competing timelines and demands.
  • Present technical solutions, capabilities, considerations, and features in business terms.
  • Effectively communicate status, issues, and risks in a precise and timely manner.
  • Position reports to the Employer's Austin, TX office and may allow for partial telecommuting.

Qualifications

Employer will accept a Bachelor's degree in Computer Science or related field, followed by 8 years of progressive post-baccalaureate experience in the job offered or in Data Engineer - Sr. Consultant level related occupation. Alternatively, Employer will accept a Master's degree in Computer Science or related field and 5 years of experience in the job offered or in a Data Engineer - Sr. Consultant level related occupation.

Experience must include:

  • Hadoop, MapReduce, Hive, Spark, NoSQL, and MySQL
  • Building streaming data pipelines using Kafka, Spark Streaming, and ELK
  • ETL/ELT data pipelines, data quality checks, and data anomaly detection and notification systems
  • Splunk, Java, or Python
  • Architecting and building large scale distributed data processing systems of high availability, low latency, and strong data consistency.
  • Agile development incorporating continuous integration and continuous delivery (CI/CD)

Additional Information

Worksite:Austin, TX

Travel Requirements: This position does not require travel.

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 computers.

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.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,498.00 USD to $251,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.