1

Data Engineer Jobs in Modesto, CA (NOW HIRING)

The Test Engineer is responsible for conducting performance, safety, and functional testing of ... This role involves test planning, data collection, analysis, and reporting, as well as identifying ...

Controls Engineer Reports To: Engineering Manager Salary Range: 110K - 130K Why join our team ... MES and data collection systems. * Perform work utilizing plant electrical controls standards.

This role involves test planning, data collection, analysis, and reporting, as well as identifying ... engineer or supervisor and assist in corrective actions. • Maintain and calibrate testing ...

Field Service Engineer

Modesto, CA · On-site

$34 - $44/hr

Leverage data-driven insights to identify opportunities and lead implementation of system improvements. Required Qualifications Education: A BSc/MSc in Aerospace, Mechanical Engineering, Mechatronics ...

New

On a continuous basis THE POSITION Public Works Engineering Division is looking for a candidate ... Receive and review public requests for traffic control device changes; collect and analyze data to ...

Junior Engineer

Lathrop, CA · On-site

$94K - $114K/yr

Interprets and plots field survey data; reviews laboratory tests of construction materials ... Junior Engineer - $94,417 to $114,765 Annually. EXPERIENCE AND LICENSE/CERTIFICATIONS Education and ...

New

Project BIM Engineer

Lathrop, CA · On-site

$100K - $120K/yr

It's built for a sharp, self-driven engineer who thrives in a hands-on environment, owns their craft, and loves solving complex technical challenges that truly matter, powering hospitals, data ...

Civil Engineer

Modesto, CA · On-site

$121K - $147K/yr

Receive and review public requests for traffic control device changes; collect and analyze data to ... Engineering mathematics * Principles of project management, construction management or contract ...

Continuous Improvement Engineer

Tracy, CA · On-site

$85K - $113K/yr

The CI Engineer will be the data resource of the team and will ensures data driven decisions are made. As we launch new markets and experiment operationally, the CI Engineer ensures we continue to ...

Continuous Improvement Engineer

Tracy, CA · On-site

$85K - $113K/yr

The CI Engineer will be the data resource of the team and will ensures data driven decisions are made. As we launch new markets and experiment operationally, the CI Engineer ensures we continue to ...

Research and analyze customer design proposals, specifications, manuals, or other data to evaluate ... Provide feedback to design engineers on customer problems or needs. * Oversee installation ...

Showing results 21-40

Data Engineer information

See Modesto, CA salary details

$46.9K

$136.9K

$187.3K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data 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 Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Modesto, CA? The most popular types of Data Engineer jobs in Modesto, CA are:
What are popular job titles related to Data Engineer jobs in Modesto, CA? For Data Engineer jobs in Modesto, CA, the most frequently searched job titles are:
What cities near Modesto, CA are hiring for Data Engineer jobs? Cities near Modesto, CA with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Modesto, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $136,851 per year, or $65.8 per hour.

Operations Excellence Engineer I

Foster Farms

Livingston, CA • On-site

$96K - $120K/yr

Full-time

Posted 4 days ago


Foster Farms rating

6.3

Company rating: 6.3 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

308th of 437 rated food and drinks producers


Job description

Description Pay Range: $96,100 - $120,120 per year The Operational Excellence Engineer I supports operational excellence engineering initiatives and continuous improvement across poultry processing operations. Reporting to the Complex Manager, this engineering role partners with live production, processing operations, maintenance, quality assurance, food safety, environmental, animal welfare and safety teams to identify, analyze, and implement data-driven improvements to enhance throughput, yield, cost control, compliance, and overall operational performance. This industrial engineering position applies Lean, Six Sigma, and audit-based methodologies to strengthen executional discipline, standardize processes, reduce variability, and ensure compliance with regulatory, food safety, animal welfare, and internal operating standards. The OE Engineer plays a key role in supporting plant strategy by improving foundational processes, driving operational efficiencies, and delivering measurable value to internal and external customers. Essential Functions: Collect and analyze operational, yield, labor, downtime, and quality data to assess current-state performance and identify process improvement opportunities across poultry processing operations. Conduct analysis and process mapping, time studies, value stream mapping, and root cause analysis (e.g., 5 Whys, Fishbone) to identify bottlenecks and sources of variability. Collaborate on and design Lean and continuous improvement initiatives, including waste reduction, line efficiency, yield improvement, labor optimization, and cost reduction. Develop internal audits, operational assessments, and compliance reviews related to food safety, quality, animal welfare, safety, and operational standards. Design, coordinate and implement corrective and preventive actions (CAPAs) and ensure sustained compliance. Drive process, equipment, and work-instruction standardization across departments and facilities to improve consistency and executional discipline. Collaborate on and design improvement projects end-to-end, including scoping, planning, testing, implementation, training, and post-implementation validation. Develop and enhance project documentation, including project plans, timelines, SOPs, workflow maps, standard work, transition plans, and hand-off documentation. Facilitate cross-functional collaboration across processing, live operations, maintenance, engineering, QA, and safety teams with competing priorities. Collect, validate, and analyze performance metrics; develop dashboards and reports to track KPIs such as yield, efficiency, labor, safety, quality, and downtime. Plan implementation and optimization of operational systems, ensuring data integrity and effective reporting. Identify and implement initiatives that improve food safety, employee safety, animal welfare outcomes, and reduce operational risk. Analyze and develop solutions relating to sustainability of improvements through audits, performance reviews, and management routines. Serve as an active member of the organization's cross-functional Operational Excellence team. Qualifications: Bachelor's degree in business, Operations, Industrial Engineering, Mechanical Engineering, Supply Chain, Operations Management, or a related field. Minimum of five (5) years of experience in poultry, meat processing, food manufacturing, high-volume labor-intensive operations or a related operations environment. Strong data analysis, database management, and business operations experience. Working knowledge of Lean, Six Sigma, or continuous improvement methodologies; Lean Six Sigma certification (Green or Black Belt) preferred. Experience supporting or participating in internal audits, operational assessments, or compliance programs. Proficient in Microsoft Office applications, with advanced Excel skills preferred. Strong project management skills with the ability to manage multiple initiatives simultaneously. Excellent facilitation, training, and communication skills with an end-user and operations-focused mindset. Proven ability to identify root causes, develop corrective actions, and drive sustainable results. High attention to detail and strong organizational and time-management skills. Ability to work effectively with diverse teams, perspectives, and backgrounds in a fast-paced production environment. Ability to build strong relationships and influence change across all levels of the organization.

What Foster Farms employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom