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Flexible Lead Data Engineer Jobs in Riverside, CA

Data Engineer IV

Irvine, CA · On-site

$118K - $170K/yr

Lead the design of a modern data platform built for AI workloads, including vector stores, feature ... Flexible Spending Accounts * Telehealth * 401(k) and 401(k) match * Life and AD&D insurance * Short ...

Job Summary : Diverse Lynx is seeking a Lead Python Data Engineer to join their team. The role involves hands-on experience in Python data engineering and requires expertise in AWS and data ...

Sr. Data Engineer

Highland, CA · On-site

$113K - $136K/yr

Under the direction of the Manager, Data Science, the Senior Data Engineer serves as a technical lead responsible for designing, architecting, and optimizing large-scale data platforms, pipelines ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... You are expected to lead with integrity and authenticity, articulating our purpose and values in a ...

Showing results 21-40

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 Aug 10, 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 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 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:

$110K - $150K/yr

Full-time

Re-posted 22 days ago


Job description

Data Engineering _ Data Engineer - Lead
This role requires coordination between onshore, nearshore, and offshore teams
Required Skills
• Strong experience with Databricks, Apache Spark, and performance tuning.
• Expertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.
• Deep understanding of Data Engineering, ETL/ELT, and large-scale data platforms.
• Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.
• Strong platform management, monitoring, and incident management experience.
• Excellent leadership and stakeholder management skills.
Preferred Domain Experience
• Asset Management
• Investment Management
• Capital Markets
• Portfolio & Market Data Platforms
Job Summary
We are seeking an experienced Data Engineering Tower /Pod Lead with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.
Key Responsibilities
• Lead and manage the Data Engineering Tower, overseeing multiple teams and delivery pods.
• Own end-to-end data platform delivery, operational excellence, and SLA adherence.
• Drive scalable data pipeline development, data quality, and platform reliability.
• Manage cross-functional dependencies, stakeholder communication, and issue escalations.
• Ensure high availability, monitoring, alerting, and production support readiness.
• Collaborate with business, portfolio management, and technology leadership teams.
Define and implement best practices for platform governance, operational readiness, and performance optimization
Salary Range- $110,000-$150,000 a year