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Data Engineer Jobs in Tracy, CA (NOW HIRING)

Match Point Solutions

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company ... Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

We have multiple openings for a Data Science Engineer with a background in applied machine learning and data science for cybersecurity and power systems applications. You will design, build, and ...

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 ...

Armanino LLP

Senior Data & AI Platform Engineer

San Ramon, CA · On-site

$75.25 - $100.50/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data and analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and own BI delivery ...

Abbott

Principal Data Architect

Pleasanton, CA · On-site

Partner with business, product, analytics, AI, and engineering teams to translate strategic objectives into scalable data solutions. * Design and optimize Lakehouse architectures, enterprise data ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Tracy, CA

Data Engineer information

See Tracy, CA salary details

$47.9K

$139.6K

$191.1K

How much do data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer in Tracy, CA is $139,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,300.00 and $148,000.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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

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

What are popular job titles related to Data Engineer jobs in Tracy, CA?

For Data Engineer jobs in Tracy, CA, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Tracy, CA look for?

The top searched job categories for Data Engineer jobs in Tracy, CA are:

What cities near Tracy, CA are hiring for Data Engineer jobs?

Cities near Tracy, CA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Tracy, CA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,638 per year, or $67.1 per hour.

Looker + Google BigQuery Architect

Apetan Consulting llc

San Ramon, CA • On-site

Contractor

Posted 15 days ago

Job description

Position - Looker + Google BigQuery Architect
Location: San Ramon, California, USA
Work Mode: 5 days WFO
Experience: 10–14 years (minimum 4–5 years in Looker & GCP Data Stack)
About the Role
We are looking for an experienced Looker + GBQ Architect to lead analytics solutioning, architecture design, and performance optimization across our enterprise-scale data ecosystem. The ideal candidate should have a strong foundation in data modeling, LookML, and GCP (BigQuery, Cloud Composer, Dataflow, Pub/Sub) with the ability to work directly with business stakeholders, data engineers, and visualization teams.
This role will anchor our BI modernization journey for Data Engineering AMS and Looker Functional teams, ensuring scalable, secure, and performant data analytics delivery.
 

Key Responsibilities
1. Solution Architecture & Design
• Design and implement end-to-end Looker + GBQ architecture, ensuring scalability and alignment with enterprise data strategy.
• Define semantic layer, LookML models, and reusable data components for cross-functional BI use cases.
• Create and enforce best practices for data modeling, partitioning, and optimization in BigQuery.
2. Development & Implementation
• Lead Looker dashboard and data model development for business-critical functions (Finance, Sales, Product).
• Collaborate with DE & BI teams to define data pipelines feeding Looker, ensuring freshness, lineage, and consistency.
• Enable parameterized and governed exploration within Looker for end-users and analysts.
3. Governance, Security & Performance
• Implement row-level and column-level security models in Looker and GBQ.
• Optimize query performance and cost management within GBQ.
• Drive monitoring, logging, and SLA adherence for Looker reports and data sources.
• Establish automated health checks and observability dashboards across BI environments.
4. Collaboration & Leadership
• Work closely with product owners, business analysts, and DE teams to translate business KPIs into scalable data models.
• Mentor and guide the Looker Functional Team and ensure alignment with global data architecture standards.
• Contribute to the data governance framework, ensuring compliance with enterprise and regulatory guidelines.
5. Continuous Improvement & Innovation
• Evaluate and integrate AI/ML and advanced analytics within Looker/GBQ ecosystem where applicable.
• Identify opportunities to automate operational reporting and ticket workflows (e.g., integration with Wolken or JIRA).
• Drive adoption of modern Looker features (Looker Blocks, Looker API, embedded analytics).
Required Skills
• Strong proficiency in:
• Looker, LookML, and Looker API
• Google BigQuery, Dataform / dbt, Cloud Composer, Pub/Sub
• SQL optimization and cost-efficient query structuring
• Experience with:
• Building scalable semantic models and data marts
• Implementing BI and data access governance
• Cross-functional collaboration with Data Engineering and Cloud Ops
• Soft Skills: Excellent communication, stakeholder management, mentoring, and problem-solving ability.
Preferred Qualifications
• Looker Certification (LookML Developer / Looker Business Analyst)
• Google Cloud Professional Data Engineer / Architect certification
• Experience in AMS / Managed Service environment or data product operations.
• Exposure to Snowflake / dbt migration to GBQ is a plus.