Lead Equities Data Platform Engineer at Wells Fargo
Iselin, New Jersey, USA -
Full Time


Start Date

Immediate

Expiry Date

30 Oct, 25

Salary

305000.0

Posted On

30 Jul, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Low Latency, Memory Management, Mongodb, Nosql, Training, Hadoop

Industry

Information Technology/IT

Description

PAY RANGE

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.
$191,000.00 - $305,000.00

APPLICANTS WITH DISABILITIES

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .

WELLS FARGO RECRUITMENT AND HIRING REQUIREMENTS:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process

Required Qualifications:

  • 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of Java development experience
  • 2+ years of python experience
  • 2+ years of kafka experienc

Desired Qualifications:

  • Kafka Streaming subject matter experience
  • Equities Data Analytics experience
  • Docker/Kubernetes experience
  • Data Pipeline buildout
  • Experience with Data querying, extracting, reporting
  • Experience in other database platforms (e.g., Time Series DBs like DeepHaven, kdb+, OneTick, etc., MongoDB, Hadoop, NoSQL, etc.) would be helpful
  • Advanced experience in capital markets business and processes
  • Experience developing multi-tiered, low latency, highly reliable, applications
  • Experience in Core Java development with expert understanding of memory management, concurrency, native I/O.
  • Cash Equities, Global Markets trading - trade workflow knowledge, FIX experience (if no Equities, FX or FIC trading data experience would also help
Responsibilities

Wells Fargo is seeking a Lead Equities Data Platform Engineer in Technology as part of Commercial Corporate & Investment Bank Technology (CCIBT) engineering and transformation office. Learn more about the career areas and lines of business at wellsfargojobs.com
The Lead Equities Data Platform Engineer will support the Equities Low Touch Technology group to drive the continued build out of the Low Touch Data Hub and next generation Equity Data Analytics platform for all Equities Front Office trading groups.

In this role, you will:

  • Lead complex initiatives on selected domains
  • Ensure systems are monitored to increase operational efficiency and managed to mitigate risk
  • Define opportunities to maximize resource utilization and improve processes while reducing cost
  • Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies
  • Resolve coding, testing and escalated platform issues of a technically challenging nature
  • Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives
  • Mentor less experienced software engineers
  • Collaborate and influence all levels of professionals including managers
  • Lead team to achieve objectives
  • Partner with production support and platform engineering teams effectively

Required Qualifications:

  • 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 2+ years of Java development experience
  • 2+ years of python experience
  • 2+ years of kafka experience

Desired Qualifications:

  • Kafka Streaming subject matter experience
  • Equities Data Analytics experience
  • Docker/Kubernetes experience
  • Data Pipeline buildout
  • Experience with Data querying, extracting, reporting
  • Experience in other database platforms (e.g., Time Series DBs like DeepHaven, kdb+, OneTick, etc., MongoDB, Hadoop, NoSQL, etc.) would be helpful
  • Advanced experience in capital markets business and processes
  • Experience developing multi-tiered, low latency, highly reliable, applications
  • Experience in Core Java development with expert understanding of memory management, concurrency, native I/O.
  • Cash Equities, Global Markets trading - trade workflow knowledge, FIX experience (if no Equities, FX or FIC trading data experience would also help)

Job Expectations:

  • Ability to work on-site at posted location
  • Relocation assistance is not available for this position.
  • Visa Sponsorship is not available for this position.
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