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Manager Data Analytics Engineer Jobs in Riverside, CA

Pwc

Data Engineer - Senior Manager

Irvine, CA · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

CorVel Corporation

Data Science Manager

Irvine, CA · On-site

$150 - $210/hr

Manage a team of highly technical data and AI professionals to complete project deliverables and provide guidance on modeling techniques, feature engineering, and data analysis methods * Foster a ...

New

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

Manage a team of highly technical data and AI professionals to complete project deliverables and provide guidance on modeling techniques, feature engineering, and data analysis methods * Foster a ...

Corvel

Data Science Manager

Irvine, CA · Remote

Manage a team of highly technical data and AI professionals to complete project deliverables and provide guidance on modeling techniques, feature engineering, and data analysis methods * Foster a ...

Pwc

Data Engineer - Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Showing results 21-40

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Riverside, CA

Manager Data Analytics Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do manager data analytics engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager data analytics engineer in Riverside, CA is $135,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,400.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are the most commonly searched types of Data Analytics Engineer jobs in Riverside, CA?

The most popular types of Data Analytics Engineer jobs in Riverside, CA are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Riverside, CA?

For Manager Data Analytics Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Riverside, CA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Manager Data Analytics Engineer jobs?

Cities near Riverside, CA with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you

Techno-Functional Architect - Data & Analytics

Trinus

Irvine, CA • Remote

$45/hr

Full-time

Re-posted 10 days ago

Job description

We are seeking a highly skilled Technical Lead with strong project management capabilities and a proven track record of bridging the gap between technical teams and business stakeholders.

The ideal candidate will have hands-on experience in architecting and delivering data platforms, BI solutions, and analytics initiatives, while also driving project delivery, managing stakeholders, and aligning technology solutions to business outcomes.

Key Responsibilities

  • Lead the end-to-end delivery of Data & Analytics projects, from requirements gathering to deployment.
  • Serve as the primary bridge between technical teams and business executives, translating business needs into actionable technical solutions.
  • Develop and present proposals, solution architectures, and roadmaps to senior stakeholders, ensuring buy-in and alignment.
  • Oversee the design and implementation of data warehouses, data lakes, BI dashboards, and advanced analytics solutions.
  • Manage project timelines, budgets, and resources, ensuring on-time and high-quality delivery.
  • Guide technical teams in solution design, data modeling, ETL/ELT, and BI development best practices.
  • Drive adoption of data-driven decision-making across the organization.
  • Foster collaboration between cross-functional teams, including data engineers, BI developers, data scientists, and business analysts.
  • Apply project management methodologies (Agile, Waterfall, hybrid) to ensure smooth execution.
  • Monitor and mitigate project risks, escalating as necessary.

Required Qualifications

  • 10+ years of experience in technology roles, with at least 5 years in data and analytics (BI, Data Warehousing, Data Engineering, or Data Science).
  • Proven experience as a Technical Lead, Solution Architect, or Techno-Functional Lead.
  • Strong project management skills with demonstrated success leading cross-functional teams.
  • Exceptional communication and presentation skills, with the ability to engage both technical and business audiences.
  • Experience “selling” and gaining buy-in for technology initiatives with executives and business stakeholders.
  • Proficiency in Data & Analytics platforms and tools (e.g., Azure Synapse, Snowflake, Databricks, Power BI, Tableau, Looker, SQL Server, BigQuery).
  • Hands-on expertise in SQL, data modeling, and ETL/ELT development.
  • Solid understanding of cloud-based data architectures (Azure, AWS, or GCP).
  • Familiarity with Agile delivery methods and DevOps principles.

Trinus Corporation, a leading provider of technology solutions and services with over 25 years of experience, is a certified WBE/MBE/SBE/SDB firm accredited by WBENC, NMSDC, and SBA.

Our mission is to shape the future of work by aligning the right mix of people, process, technology, and innovation to efficiently meet our clients' business objectives.

At Trinus, we understand that finding the right opportunity is pivotal in your career journey. Our staffing services go beyond mere placements; they are about matching your skills and aspirations with the perfect fit.

To learn more about us, please visit our website www.trinus.com