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Manager Data Analytics Engineer Jobs in Modesto, CA

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Manufacturing Engineer

Stockton, CA · On-site

$83K - $93K/yr

... data analysis • Strong communication and interpersonal skills • Strong organizational and ... management skills • Displays initiative to find solutions and work effectively with all levels in ...

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Manufacturing Engineer

Stockton, CA · On-site

$83K - $93K/yr

... data analysis • Strong communication and interpersonal skills • Strong organizational and ... management skills • Displays initiative to find solutions and work effectively with all levels in ...

... management, training, security, infrastructure and systems administration ... You will deliver this through the use of statistics and data analytics, structured problem solving ...

This role partners cross-functionally to analyze workflows, manage data, support ERP systems, and ... Experience with Pseudo-code or modern programming languages. * SQL/Database * Good knowledge and ...

Continuous Improvement Engineer

Tracy, CA · On-site

$85K - $113K/yr

As a CI Engineer, you will be responsible for process improvement initiatives around the business ... You will be responsible for process design, project management, implementation, and data analysis ...

Test Engineer Lead shall manage and execute test programs, analyze and interpret results ... Preparing the necessary environment for testing, which may include hardware, software, and data.

Test Engineer Lead shall manage and execute test programs, analyze and interpret results ... Preparing the necessary environment for testing, which may include hardware, software, and data.

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Manager Data Analytics Engineer information

See Modesto, CA salary details

$46.9K

$136.9K

$187.3K

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

As of Jul 16, 2026, the average yearly pay for manager data analytics engineer in Modesto, CA is $136,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,800.00 and $145,100.00 per year, depending on experience, location, and employer.

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.

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 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.
What are popular job titles related to Manager Data Analytics Engineer jobs in Modesto, CA? For Manager Data Analytics Engineer jobs in Modesto, CA, the most frequently searched job titles are:
What cities near Modesto, CA are hiring for Manager Data Analytics Engineer jobs? Cities near Modesto, CA with the most Manager Data Analytics Engineer job openings:
Business Process Data Administrator

Business Process Data Administrator

Flory Industries

Salida, CA

$79K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 19 days ago


Job description

SALARY RANGE

$79,800 - $110,000 Annually.

JOB LOCATION

4737 Toomes Rd, Salida, CA 95368.

AVAILABLE BENEFITS

  • 401K.
  • Medical – Dental – Vision – Life – FSA – Aflac.
  • 9 Paid Holidays.

JOB SUMMARY

The Business Process Data Administrator works under the general direction of the Director of Supply Chain & Corporate Systems and supports senior leadership with business systems and process improvement across operations, manufacturing, inventory, and corporate functions. This role operates at the intersection of business operations and IT, supporting system functionality and process efficiency. This role partners cross-functionally to analyze workflows, manage data, support ERP systems, and assist with the development of internal tools, scripts, and system enhancements, ensuring efficient, accurate, and sustainable business processes.

DUTIES AND RESPONSIBILITIES

RESPONSIBILITY

TIME SPENT

  • Business Systems & Workflow Improvements 30%
  • Cross-Functional Communication & Project Support 10%
  • Data, Reporting & Analysis 30%
  • Technical Support & Automation 30%
  • Business Systems & Workflow Improvement
    • Partner with cross-functional teams and departments to understand business challenges, current workflows, and system-related pain points.
    • Document workflows, requirements, business rules, and improvement opportunities.
    • Identify opportunities to streamline, automate, and improve business processes.
    • Collaborate with shop floor personnel and cross-functional teams to analyze workflows, resolve operational issues, and implement process improvements.
  • Cross-Functional Communication & Project Support
    • Coordinate and facilitate working sessions with users, managers, and cross-functional teams.
    • Translate business needs into clear technical or system requirements
    • Communicate project progress, risks, constraints, and recommendations to cross-functional teams and leadership.
    • Support user training, documentation, and adoption of new tools or process changes.
  • Data Reporting & Analysis
    • Analyze data to support process improvement efforts, root-cause analysis, and operational decision making.
    • Use SQL, Excel, Python or similar tools to query, validate, and troubleshoot business data.
    • Build and maintain basic reports, dashboards, and operational data views.
    • Help identify data quality issues and recommend corrections.
  • Technical Support & Automation
    • Provide support for ERP-related functions, particularly within Microsoft Dynamics GP or similar enterprise systems.
    • Assist with scripting automation and data maintenance activities using tools such as SQL, Python, Excel, Power BI, or Power Platform
    • Work with IT and business teams to troubleshoot system issues and improve usability.
    • Support software development projects (e.g., Python, HTML5, JavaScript) with a focus on enhancements and internal tools (not a primary developer role)

OTHER DUTIES

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.