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Manager Data Engineering Jobs in Fresno, CA (NOW HIRING)

Deloitte

Lead AI and Data Science Engineer II

Fresno, CA · On-site

$101K - $134K/yr

... manage multiple initiatives. * Collaborate with stakeholders across Talent, business leadership ... Software & Data Engineering * Develop full-stack, web-based data and generative artificial ...

Munich Re

Technical Architect - Data, Analytics & AI

Clovis, CA · Hybrid

$63.25 - $81.50/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Munich Re

Technical Architect - Data, Analytics & AI

Fresno, CA · Hybrid

$63.25 - $81.50/hr

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Element Materials Technology

Data Processor

Fresno, CA · On-site

Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ... Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ...

Deloitte

Cloud Security Engineer Manager

Fresno, CA · On-site

$142K/yr

Data Protection * Cyber Design * Incident Response * Security Architecture * Business Partnership ... Bachelor's degree or equivalent in Information Technology, Computer Science, or Engineering.

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Showing results 1-20

All JobsData Engineering JobsManager Data Engineering JobsManager Data Engineering Jobs in Fresno, CA

Manager Data Engineering information

See Fresno, CA salary details

$30.8K

$96.5K

$170.8K

How much do manager data engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for manager data engineering in Fresno, CA is $96,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,500.00 and $124,600.00 per year, depending on experience, location, and employer.

What are the roles and responsibilities of a manager data engineering?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

What are the key skills and qualifications needed to thrive as a manager data engineering?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

How does a manager data engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.

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

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the most commonly searched types of Data Engineering jobs in Fresno, CA?

The most popular types of Data Engineering jobs in Fresno, CA are:

What are popular job titles related to Manager Data Engineering jobs in Fresno, CA?

For Manager Data Engineering jobs in Fresno, CA, the most frequently searched job titles are:

What job categories do people searching Manager Data Engineering jobs in Fresno, CA look for?

The top searched job categories for Manager Data Engineering jobs in Fresno, CA are:

What cities near Fresno, CA are hiring for Manager Data Engineering jobs?

Cities near Fresno, CA with the most Manager Data Engineering job openings:

Manager Data Engineering jobs near you
Infographic showing various Manager Data Engineering job openings in Fresno, CA as of June 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,456 per year, or $46.4 per hour.

Data Production Engineer

Hudson River Trading

London, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

  • Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
  • Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
  • Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
  • Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

  • Track record of being detail-oriented and thorough
  • You excel in problem solving and researching large datasets to resolve complex issues
  • You have a collaborative attitude that lends itself to cross-team customers and projects 
  • You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

  • 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
  • Experience in Python strongly preferred 
  • Experience managing ETL pipelines is a plus
  • Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
  • Comfortable with the Linux command line
  • Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
  • Able to provide technical support in a production trading environment

Apply