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Flexible Lead Data Engineer Jobs in Riverside, CA

OCVIBE

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

Anaheimducks

Lead Data Engineer

Anaheim, CA

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

OCVIBE

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

OC Sports and Entertainment

Lead Data Engineer

Anaheim, CA · On-site

$140K - $180K/yr

Lead Data Engineer Pay Details: The annual base salary range for this position in California is $140,000 to $180,000 per year. The starting pay for the successful candidate depends on various job ...

Ravh IT Solutions

Lead Data Engineer

Irvine, CA · On-site

$110K - $144K/yr

Data Engineering POD Lead Location: Irvine, CA onsite Job Summary We are seeking an experienced Data Engineering POD Lead with a strong background in Asset Management/Investment Management to lead a ...

Scalence L.L.C.

Data Engineer - Lead

Irvine, CA · On-site

C. is seeking a Lead Data Engineer to oversee data engineering delivery. The role involves skills in pipeline design and performance tuning, with a focus on asset management domain experience.

Commercial Bank of California

Data Engineer

Irvine, CA · On-site

$150K - $170K/yr

Job Summary The Data Engineer will join our Enterprise Technology Services team to lead the design ... Flexible Spending Accounts (FSA) and Dependent Care Accounts * Employee Assistance Program (EAP)

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All JobsLead Data Engineer JobsFlexible Lead Data Engineer JobsFlexible Lead Data Engineer Jobs in Riverside, CA

Flexible Lead Data Engineer information

See Riverside, CA salary details

$44.3K

$129.1K

$188.3K

How much do flexible lead data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for flexible lead data engineer in Riverside, CA is $129,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,900.00 and $140,800.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $300,000 or more annually. High compensation is often associated with leadership roles, specialized technical skills, and working in competitive industries or companies with large-scale data needs.

Can I make 200K as a data engineer?

A flexible lead data engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms and big data tools, and working in high-demand industries or regions. Compensation varies based on location, company size, and individual expertise, with senior roles and specialized skills often commanding higher salaries.

What is the difference between Flexible Lead Data Engineer vs Data Engineer?

AspectFlexible Lead Data EngineerData Engineer
Required CredentialsBachelor's in CS or related, experience with cloud platforms, data modelingBachelor's in CS or related, experience with data pipelines, SQL
Work EnvironmentCollaborative, project-based, often in tech or finance industriesData-focused teams, often in tech, finance, or healthcare sectors
Employer & Industry UsageUsed in organizations needing leadership in data projectsCommon in companies building data infrastructure
Search & Comparison IntentHigh overlap in skills, leadership, and project scopeFocuses more on technical execution

The Flexible Lead Data Engineer typically combines technical expertise with leadership responsibilities, overseeing data projects and guiding teams. In contrast, a Data Engineer primarily focuses on building and maintaining data pipelines and infrastructure. Both roles require strong technical skills, but the lead position emphasizes coordination and strategic planning within data teams.

What engineer makes $500,000 a year?

A senior or lead data engineer with extensive experience, specialized skills in big data tools, and a strong track record can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Such roles often require advanced certifications, leadership responsibilities, and expertise in cloud platforms like AWS or Azure.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure and pipelines. Data engineers are essential for building scalable systems, ensuring data quality, and implementing AI solutions effectively within organizations.
What are popular job titles related to Flexible Lead Data Engineer jobs in Riverside, CA? For Flexible Lead Data Engineer jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Flexible Lead Data Engineer jobs in Riverside, CA look for? The top searched job categories for Flexible Lead Data Engineer jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Flexible Lead Data Engineer jobs? Cities near Riverside, CA with the most Flexible Lead Data Engineer job openings:
Flexible Lead Data Engineer jobs near you
Lead Data Engineer (Data Engineering Tower Lead)

Lead Data Engineer (Data Engineering Tower Lead)

ClifyX

Irvine, CA • On-site

$110K - $144K/yr

Other

Posted 29 days ago

Job description

Lead Data Engineer (Data Engineering Tower Lead)

Location: Irvine, CA
Experience: 8–14 Years

Position Overview

We are seeking an experienced Lead Data Engineer to oversee enterprise-scale data engineering initiatives and manage multiple delivery teams. This role will be responsible for end-to-end data platform delivery, operational excellence, platform reliability, and stakeholder engagement while driving scalable data solutions that support critical business functions.

The ideal candidate will possess strong expertise in modern data engineering platforms, workflow orchestration, cloud-native architectures, and large-scale data processing environments.

Required Skills & QualificationsData Engineering & Big Data Technologies
  • Strong hands-on experience with:
    • Databricks
    • Apache Spark
    • Distributed Data Processing
    • Performance Tuning & Optimization
  • Deep understanding of:
    • Data Engineering Architecture
    • ETL/ELT Frameworks
    • Data Warehousing Concepts
    • Large-Scale Data Platforms
  • Experience building scalable and reliable data pipelines.
Workflow Orchestration
  • Expertise in:
    • Apache Airflow
    • Astronomer
    • Workflow Automation
    • DAG Design & Management
  • Experience managing complex data workflows and dependencies.
DevOps & Platform Engineering
  • Strong knowledge of:
    • CI/CD Pipelines
    • DevOps Practices
    • Infrastructure as Code (IaC)
    • Automation Frameworks
  • Experience supporting cloud-native and enterprise data platforms.
Platform Operations & Reliability
  • Experience with:
    • Platform Monitoring
    • Incident Management
    • Alerting & Observability
    • Production Support
    • Operational Readiness
  • Proven ability to maintain highly available and resilient data environments.
Leadership & Stakeholder Management
  • Experience leading multiple data engineering teams, pods, or delivery streams.
  • Strong communication and stakeholder management skills.
  • Ability to coordinate across onshore, offshore, and distributed global teams.
  • Experience managing project risks, dependencies, and escalations.
Preferred Industry Experience
  • Asset Management
  • Investment Management
  • Capital Markets
  • Portfolio Analytics Platforms
  • Market Data Platforms
  • Financial Services Data Ecosystems
Key ResponsibilitiesTeam Leadership
  • Lead and manage multiple data engineering teams and delivery pods.
  • Provide technical direction, mentorship, and delivery oversight.
  • Foster collaboration across geographically distributed teams.
Data Platform Delivery
  • Own end-to-end delivery of enterprise data engineering solutions.
  • Drive development of scalable, high-performance data pipelines.
  • Ensure platform stability, reliability, and operational excellence.
Platform Operations
  • Establish and maintain monitoring, alerting, and incident management processes.
  • Ensure platform availability and production support readiness.
  • Drive continuous improvements in platform performance and reliability.
Stakeholder Engagement
  • Partner with business, technology, and leadership teams to understand requirements and priorities.
  • Manage cross-functional dependencies and project communications.
  • Provide regular updates on delivery progress, risks, and operational metrics.
Governance & Best Practices
  • Define and implement standards for:
    • Data Engineering Best Practices
    • Platform Governance
    • Operational Readiness
    • Performance Optimization
    • Automation & Deployment Processes
  • Promote engineering excellence and continuous improvement across teams.
Delivery & Operational Excellence
  • Ensure adherence to SLAs and operational objectives.
  • Drive data quality, scalability, and performance initiatives.
  • Lead issue resolution, root cause analysis, and production support activities.
Preferred Leadership Skills
  • Strong leadership and people management capabilities.
  • Excellent communication and stakeholder engagement skills.
  • Experience leading enterprise-scale data engineering programs.
  • Strong analytical, problem-solving, and decision-making abilities.
  • Ability to operate effectively in fast-paced, highly collaborative environments.
  • Experience managing globally distributed teams and complex delivery programs.
Keywords

Data Engineer Lead, Data Engineering Manager, Databricks, Apache Spark, Apache Airflow, Astronomer, ETL, ELT, Data Pipelines, Data Platform, CI/CD, DevOps, Infrastructure as Code, Cloud Data Engineering, Data Architecture, Big Data, Platform Reliability, Incident Management, Financial Services, Asset Management, Investment Management, Capital Markets, Team Leadership.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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