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Manager Data Analytics Engineer Jobs in California

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson ... Management may assign or reassign the functions to this job at any time due to reasonable ...

PetersonCat

Data & Analytics Engineer

San Leandro, CA

$129K - $155K/yr

SUMMARY The Data & Analytics Engineer is responsible for supporting and evolving Peterson ... Management may assign or reassign the functions to this job at any time due to reasonable ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our ... Translate ambiguous requests from Finance, Marketing, Revenue Management, Operations, and ...

Molina Healthcare

Manager, Data Analytics

Long Beach, CA · On-site +1

$79K - $172K/yr

Job Summary Manages the activities of the Data Analytics and Reporting team. Performs research and ... Experience working on PowerBI for reporting and data engineering using databricks is required

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

True Classic

Data & Analytics Engineer

Los Angeles, CA

$123K - $148K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

Mattel

Manager, Data Analytics

El Segundo, CA

Partner closely with data engineering teams to design and improve scalable data pipelines, data ... analytics, CRM, marketing systems, and operational data * Contribute to improvements in data ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to ...

Headspace

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to ...

Mattel

Manager, Data Analytics

El Segundo, CA · On-site

Partner closely with data engineering teams to design and improve scalable data pipelines, data ... analytics, CRM, marketing systems, and operational data * Contribute to improvements in data ...

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All JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in California

Manager Data Analytics Engineer information

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 the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What are popular job titles related to Manager Data Analytics Engineer jobs in California? For Manager Data Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in California look for? The top searched job categories for Manager Data Analytics Engineer jobs in California are:
What cities in California are hiring for Manager Data Analytics Engineer jobs? Cities in California with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Data & Analytics Engineer

Data & Analytics Engineer

Peterson

San Leandro, CA • On-site

$129K - $155K/yr

Full-time

Posted 22 days ago

Job description

It's your time, make it matter.
At Peterson, we partner with our customers to build the future. For over 85 years, our peoples' work has shaped the communities where we live, where we raise our families, and where we thrive. Peterson's legacy permeates every aspect of our communities. From roads and bridges, back-up power at hospitals, fire-fighting, concerts and moving goods; we are everywhere you look. At Peterson, you don't just have a career, you have a purpose.
Our family-oriented environment is built on safety, winning, growth, and professional achievement. Hiring and developing exceptional people is critical to our continued success. We have high standards for a good reason: our people represent Peterson, our family, our brand, and our values.
You have high expectations too. You are exceptionally motivated, have outstanding skills, and want your work to matter. Peterson offers competitive wages, generous benefits, and promotional opportunities at a family-owned and operated business. It's time to use your skills and passion to do work that matters!
Job Description
Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location.
SUMMARY
The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including agentic) workflows to improve speed, quality, and scale-while maintaining data accuracy, governance, and trust.
ESSENTIAL JOB FUNCTIONS
The following reflects management's definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign or reassign the functions to this job at any time due to reasonable accommodation or other reasons. Job functions include the following. Other duties may be assigned.
  • Ingest and manage data across Raw, Transformed, and Curated layers based on business and analytics requirements.
  • Build and maintain data pipelines using modern cloud data architectures, including Snowflake and Microsoft Fabric, and support existing SQL Server Integration Services (SSIS) workloads and Azure Data Factory where applicable.
  • Design and develop curated, analytics-ready datasets using SQL-based transformation approaches.
  • Build and maintain reports, dashboards, and semantic models, primarily in Power BI.
  • Use Python and AI/agentic workflows to accelerate:
    • Data ingestion and schema discovery
    • Source-to-target mapping and transformation logic
    • ETL troubleshooting and optimization
    • Report and dashboard generation
    • Data validation, reconciliation, and impact analysis
  • Apply and maintain strong data quality, reconciliation, and documentation standards.
  • Support data ingestion, modeling, and analytics enablement for finance and enterprise resource planning (ERP) platforms, including Microsoft Dynamics.
  • Develop reusable data pipelines, transformation patterns, and data models to improve consistency and scalability.
  • Contribute to data and analytics standards, best practices, and frameworks as part of an evolving Data & Analytics Center of Excellence.
  • Partner with business, finance, and IT teams to define requirements, validate outputs, and deliver trusted analytics solutions.
  • Maintain punctual, regular, and predictable attendance.

QUALIFICATIONS
Bachelor's Degree from a fully accredited college in Data Science, Information Technology, Engineering, or other closely related field; and a minimum of three (3) years of directly related experience in data engineering, business intelligence, or analytics roles, preferably in a heavy industrial environment; or an equivalent combination of education and work experience. Must be comfortable working on-site and collaborating closely with business, finance, and IT teams.
Required Experience:
  • Strong SQL and data warehousing experience, with hands-on work in modern cloud data platforms (e.g., Snowflake, Microsoft Fabric, or similar), including ETL/ELT ingestion and transformations.
  • Experience with Python for data engineering, automation, and AI-enabled workflows.
  • Hands-on experience building production reports and dashboards (Power BI required; other BI tools acceptable).
  • Experience working with Microsoft integration tools, including SSIS and/or Azure Data Factory.
  • Experience supporting end-to-end data pipelines, from ingestion through analytics and reporting.

Preferred Experience:
  • Experience with modern cloud data platforms (e.g., Microsoft Fabric, Snowflake, or similar), with the ability to work across evolving architectures.
  • Finance domain knowledge (GL, revenue, costs, contracts).
  • Microsoft Dynamics or ERP data migration experience.
  • Experience working within the Microsoft ecosystem / Microsoft 365.
  • Experience with Spark/PySpark or notebook-based data processing for advanced transformations.

CERTIFICATES, LICENSES, REGISTRATIONS
None required
The pay range for this position is: $105,000.00 - $125,000.00 (Starting wage will depend on experience and education. We also offer a total compensation package in addition to base salary.)
#INDL
Peterson Holding Company is committed to equal employment opportunity and affirmative action. Minorities, females, veterans, and individuals with disabilities are encouraged to apply. A drug screen and background check is required.

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