BAU/L3 - Data Engineer - L3 Support Engineer (Sr)

Tustin, CA, US • Posted 8 hours ago • Updated 8 hours ago
Contract Independent
On-site
USD $150,000.00 - 200,000.00 per year
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Job Details

Skills

  • Network Layer
  • Operational Excellence
  • Offshoring
  • Financial Services
  • Databricks
  • Apache Spark
  • Performance Tuning
  • Apache Airflow
  • Workflow
  • Orchestration
  • Extract
  • Transform
  • Load
  • ELT
  • Continuous Integration
  • Continuous Delivery
  • DevOps
  • Incident Management
  • Leadership
  • Communication
  • Stakeholder Management
  • Data Engineering
  • Management
  • Production Support
  • SLA
  • Collaboration
  • Asset Management
  • Investment Management
  • Capital Market
  • Market Analysis
  • Privacy
  • Marketing

Summary

Location: Tustin, CA Salary: $150,000.00 USD Annually - $200,000.00 USD Annually Description:

Job Title:
BAU/L3 Data Engineer Lead (Senior L3 Support Engineer)


Location:
Irvine, CA (Onsite 3 days/week from Day 1)


Summary:
Seeking an experienced Senior Data Engineer Lead to oversee enterprise-scale data engineering initiatives, platform stability, and operational excellence. This role involves coordinating onshore, nearshore, and offshore teams, driving scalable data solutions, ensuring platform reliability, and leading multiple delivery pods. Experience in financial services, investment platforms, or capital markets environments is preferred but not mandatory.

Required / Mandatory Skills:
  • Strong experience with Databricks, Apache Spark, and performance tuning
  • Expertise in Apache Airflow for workflow orchestration and DAG design
  • Deep understanding of Data Engineering, ETL/ELT, and large-scale data platforms
  • Experience with CI/CD, DevOps practices, Infrastructure as Code (IaC), and automation
  • Strong platform management, monitoring, and incident management experience
  • Experience leading distributed teams across multiple locations
  • Excellent leadership, communication, and stakeholder management skills

Qualification:
  • Proven experience leading enterprise-scale data engineering programs
  • Strong background in designing and supporting large-scale data platforms
  • Experience managing production support, platform reliability, and SLA adherence
  • Ability to collaborate with business and technology stakeholders to drive delivery outcomes
  • Preferred exposure to Asset Management, Investment Management, Capital Markets, or portfolio/market data environments


By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.
Contact:
This job and many more are available through The Judge Group. Please apply with us today!
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.
  • Dice Id: cxjudgpa
  • Position Id: 1147927
  • Posted 8 hours ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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