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Flexible Lead Data Engineer Jobs in Riverside, CA

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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.

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Showing results 1-20

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 - $140K/yr

Full-time

Posted 13 days ago


Job description

Lead Data Engineer - IM
Must Have Technical/Functional Skills
Data Bricks , EBT ,Airflow , Asset Management exp
Roles & Responsibilities
Lead Data Engineer Information Management (IM)
Experience
815 Years
Role Overview
We are looking for a highly skilled Lead Data Engineer with strong hands-on experience in Databricks, dbt, and Python, and a proven track record of leading and executing data platform migration and modernization programs. The ideal candidate will have experience migrating legacy data warehouses, ETL platforms, and cloud/on-prem data ecosystems to a modern Databricks Lakehouse architecture using dbt-based transformation frameworks. This is a hands-on leadership role requiring deep technical expertise, solution design capabilities, and the ability to mentor engineering teams while driving enterprise-scale data modernization initiatives.
Key Responsibilities
Data Engineering & Development
• Design, build, and maintain scalable data pipelines using Databricks, PySpark, SQL, and Python.
• Develop and optimize ELT/ETL processes for large-scale data ingestion and transformation.
• Implement robust data quality, monitoring, and reconciliation frameworks.
• Build reusable data engineering components and frameworks.
Data Platform Migration & Modernization
• Lead migration of legacy data platforms, data warehouses, and ETL ecosystems to Databricks Lakehouse.
• Transform existing ETL workloads to modern ELT patterns using dbt.
• Analyze source environments and define migration approaches, roadmap, and execution strategy.
• Drive code conversion, performance optimization, and workload modernization efforts.
Databricks Engineering
Develop solutions leveraging:
• Databricks Lakehouse Platform
• Delta Lake
• Unity Catalog
• Databricks Workflows
• Structured Streaming
• Medallion Architecture (Bronze, Silver, Gold)
Optimize Spark jobs and Databricks workloads for performance and cost efficiency.
dbt Development
• Build and maintain dbt models, macros, tests, and documentation.
• Implement incremental processing and reusable transformation frameworks.
• Establish data lineage, testing, and CI/CD best practices.
• Work closely with business and analytics teams to build trusted datasets.
Leadership & Collaboration
• Lead a team of data engineers and developers.
• Perform code reviews and enforce engineering standards.
• Collaborate with arch itects, product owners, business analysts, and stakeholders.
• Mentor junior engineers and drive adoption of best practices.
Salary Range- $110,000-$140,000 a year