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Database Engineer Jobs in Tracy, CA (NOW HIRING)

Avathon

AI Engineer

Pleasanton, CA · On-site

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ... Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search ...

Tata Consultancy Service Limited

Engineer

San Ramon, CA · On-site

$100K - $120K/yr

SQL database with good understanding of T-SQL programming * Understanding of Service oriented architecture, basic to intermediate knowledge of WCF services * Readiness to work in Agile model and ...

Avathon

AI Engineer

Pleasanton, CA · On-site

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ... Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search ...

PlanChecker.AI

Software Engineer

Brentwood, CA · On-site

Understanding of Back-End Web Development, including RESTful APIs, server-side frameworks, and database interactions. * Knowledge of Object-Oriented Programming (OOP) principles and ability to design ...

Jobsbridge

Backend Engineer

San Ramon, CA · On-site

Company Description Intelliswift Software, Inc The Backend stack engineer will be responsible for ... Proficiency in Java (1.7 or later), JUnit, database technologies.Experience developing web ...

Avathon

AI Engineer

Pleasanton, CA · On-site

$116K - $159K/yr

Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases * Experience building scalable APIs and backend systems supporting AI ...

Ross Stores

Engineer II

Dublin, CA · On-site

$109K - $187K/yr

The Engineer II position focuses on building robust, scalable, and secure services using technologies such as MuleSoft for integrations, Spring for application development, and Oracle Database for ...

Ross Stores

Engineer II

Dublin, CA · On-site

$109K - $187K/yr

The Engineer II position focuses on building robust, scalable, and secure services using technologies such as MuleSoft for integrations, Spring for application development, and Oracle Database for ...

Ross Stores, Inc

Engineer II

Dublin, CA · Hybrid

$109K - $187K/yr

The Engineer II position focuses on building robust, scalable, and secure services using technologies such as MuleSoft for integrations, Spring for application development, and Oracle Database for ...

Ross Stores

Engineer II

Dublin, CA · On-site

$109K - $187K/yr

The Engineer II position focuses on building robust, scalable, and secure services using technologies such as MuleSoft for integrations, Spring for application development, and Oracle Database for ...

AllSTEM Connections

Software Engineer

Pleasanton, CA · On-site

$77K - $87K/yr

... • Database Management: Write optimized queries, manage data flows, and build robust data ... Cloud Deployment & DevOps • Containerization & Cloud: Deploy and manage applications within cloud ...

AllSTEM Connections

Software Engineer

Pleasanton, CA · On-site

$77K - $87K/yr

... • Database Management: Write optimized queries, manage data flows, and build robust data ... Cloud Deployment & DevOps • Containerization & Cloud: Deploy and manage applications within cloud ...

Grid Dynamics

Staff DevOps Engineer

San Ramon, CA · On-site

$57.75 - $79.25/hr

... databases, cloud services, systems monitoring. • Interface with development teams and collect feedback on the quality of tooling and CI infrastructure • Consulting of developers in infrastructure ...

Kavaliro

Systems Engineer

Lodi, CA · On-site

$130K - $167K/yr

Database Infrastructure Management * Set-up, test, maintain, and secure internal Microsoft (MS) SQL ... Microsoft Certified Systems Engineer (MCSE) or additional certifications preferred. * 7+ years ...

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All JobsDatabase Engineer JobsDatabase Engineer Jobs in Tracy, CA

Database Engineer information

See Tracy, CA salary details

$65.1K

$131.5K

$180.3K

How much do database engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for database engineer in Tracy, CA is $131,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $150,700.00 per year, depending on experience, location, and employer.

What is a database engineer?

As a database engineer, you work to develop and maintain data solutions and information systems for a company in any industry that requires processing and storage of large amounts of information, including healthcare providers or financial service firms. Because you often deal with sensitive data, you must be familiar with appropriate data protection and encryption processes, as well as relevant regulatory frameworks like HIPAA.

What does a database engineer do?

A Database Engineer is responsible for designing, implementing, and maintaining databases that store and organize data for organizations. They ensure that databases are reliable, secure, and optimized for performance. Their duties often include developing database architecture, writing scripts to automate tasks, troubleshooting issues, and collaborating with other IT professionals. Database Engineers play a key role in managing large volumes of data and supporting business operations through data integrity and availability.

What are the key skills and qualifications needed to thrive as a database engineer?

To thrive as a Database Engineer, you need expertise in database design, management, and optimization, often supported by a degree in computer science or a related field. Proficiency with database platforms like MySQL, PostgreSQL, Oracle, or SQL Server, as well as experience with tools such as SQL, ETL processes, and relevant certifications (e.g., Microsoft Certified: Azure Database Administrator Associate) are typical requirements. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with developers and stakeholders. These skills are crucial for ensuring data integrity, system performance, and supporting business operations through reliable data management.

What are some common challenges faced by database engineers when working with large-scale databases?

Database Engineers working with large-scale databases often encounter challenges such as optimizing query performance, ensuring data consistency across distributed systems, and managing database scalability as data volumes grow. They also need to implement robust backup and recovery solutions to minimize downtime in case of failures. Collaborating closely with application developers and system administrators is essential to address these challenges and maintain database reliability and security.

What is the difference between Database Engineer vs Database Administrator?

AspectDatabase EngineerDatabase Administrator
Primary RoleDesigns, develops, and implements database systems and solutionsMaintains, monitors, and manages existing databases for performance and security
Skills & CertificationsSQL, database design, scripting, certifications like Microsoft Certified: Azure Database Administrator AssociateSQL, backup and recovery, security, certifications like Oracle Certified Professional
Work EnvironmentOften involved in development teams, working on new database solutionsTypically in operations teams, ensuring database stability and performance
Employer & Industry UsageTech companies, finance, healthcare, where database design is neededOrganizations requiring ongoing database management and support

While both roles work with databases, Database Engineers focus on designing and building new database systems, whereas Database Administrators manage and maintain existing databases to ensure optimal performance and security.

Are database engineers in demand?

Database engineers are in high demand due to the increasing reliance on data management and storage across industries. They often require skills in SQL, database design, and familiarity with tools like Oracle, MySQL, or PostgreSQL, making their expertise valuable in many organizations. The role is expected to grow as data-driven decision-making becomes more critical.
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What job categories do people searching Database Engineer jobs in Tracy, CA look for?

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

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

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

Database Engineer jobs near you
Infographic showing various Database Engineer job openings in Tracy, CA as of August 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 100% In-person job distribution, with an average salary of $131,451 per year, or $63.2 per hour.

AI Engineer

Avathon

Pleasanton, CA • On-site

Full-time

Medical, Retirement

Re-posted 7 days ago

Job description

Who We Are & Why Join Us
Avathon is the leading Industrial AI autonomy platform, helping customers across heavy industries -- energy, mining, manufacturing, aerospace, defense, and logistics -- accelerate the journey toward autonomous operations. Our platform is built on a Computational Knowledge Graph foundation that contextualizes and connects operational data across siloed systems, bringing together time series, structured, unstructured, and machine vision data to power AI-driven applications in asset performance management, supply chain intelligence, visual AI, and global trade management. With capabilities spanning digital twins, normal behavior modeling, natural language processing, and computer vision, Avathon delivers real-time predictive intelligence and agentic decision-making at industrial scale.
Cutting-Edge AI Innovation -- Join a team at the forefront of AI, developing groundbreaking solutions that shape the future. High-Growth Environment -- Thrive in a fast-scaling startup where agility, collaboration, and rapid professional growth are the norm. Meaningful Impact -- Work on AI-driven projects that drive real change across industries and improve lives.
Learn more at: avathon.com
About the Role
Senior AI Engineer - Generative AI & LLMs
At Avathon, we are building cutting-edge AI solutions that transform operations across asset-intensive industries such as Supply Chain, Logistics, Energy, Mining, Aerospace, and Industrial Manufacturing. As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable AI systems with a strong focus on Generative AI, Large Language Models (LLMs), and production-grade machine learning applications.
This role is ideal for someone with strong engineering depth who can bridge research and production-building robust AI platforms, optimizing LLM workflows, and delivering high-impact solutions across forecasting, route optimization, anomaly detection, predictive maintenance, and intelligent automation.
With 3-5 years of hands-on industry experience, you are expected to bring expertise in AI system design, ML engineering, LLM deployment, and scalable software development within fast-paced startup environments.
You Will
  • Design, build, and deploy production-grade AI/ML systems with strong emphasis on Generative AI and LLM-powered applications
  • Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt orchestration, evaluation, and observability
  • Build scalable backend services and APIs for AI applications using modern engineering best practices
  • Implement and productionize transformer-based models and GenAI workflows for enterprise use cases
  • Design vector search systems, embedding pipelines, and retrieval frameworks for knowledge-intensive applications
  • Partner closely with Product, Engineering, and Business teams to translate operational challenges into scalable AI solutions
  • Drive experimentation, benchmarking, model evaluation, and performance optimization with scientific rigor
  • Improve inference efficiency, latency optimization, cost management, and reliability of deployed AI systems
  • Establish guardrails, hallucination detection, monitoring, and responsible AI practices for production deployments
  • Contribute to MLOps workflows including CI/CD, model lifecycle management, observability, and cloud deployment
  • Stay current with the latest advancements in LLMs, agentic systems, foundation models, and applied AI engineering
You'll Have
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field
  • 3-5 years of hands-on industry experience in AI Engineering, Machine Learning Engineering, Applied AI, or related roles
  • Strong experience building and deploying LLM-based applications in production environments
  • Solid expertise with Python and modern AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar
  • Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems, and vector databases
  • Experience building scalable APIs and backend systems supporting AI workflows
  • Familiarity with cloud platforms such as AWS, GCP, or Azure
  • Strong software engineering fundamentals including system design, debugging, performance optimization, and production reliability
  • Experience with containerization, deployment pipelines, and collaborative engineering environments
  • Strong analytical thinking, ownership mindset, and ability to work in ambiguous, fast-moving startup environments
  • Strong communication skills and ability to work cross-functionally with technical and business stakeholder
Preferred Qualifications
  • Exposure to Retrieval-Augmented Generation (RAG), vector databases, or embedding-based search systems
  • Familiarity with LLM observability and evaluation tools (e.g., Langfuse, LangSmith, Arize Phoenix, Weights & Biases)
  • Hands-on experience with practical LLM deployment -- prompt versioning, cost/latency tracking, guardrails, or hallucination detection
  • Exposure to LLM evaluation frameworks (e.g., RAGAS, DeepEval) or LLM-as-judge evaluation patterns
  • Basic understanding of MLOps practices and model lifecycle management
  • Experience working on applied AI projects in academic, internship, or startup settings
  • Interest in industrial AI and asset-intensive environments
  • Industry exposure in one or more of the following domains: Mining, Oil & Gas, Aerospace, Supply Chain, Logistics, or Renewable Energy
Interview Process
As part of the interview process, you will be asked to complete a technical assessment.
Benefits & Perks
What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!
  • Evolving culture with the opportunity to drive new ideas and technology
  • Stock Option Grants
  • Medical Coverage and Parental Leave Plans
  • 401k with Employer Match
  • Monthly Technology Allowance
  • Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.
Compensation
Pay Range: $110k - $130k salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Pleasanton office 5 days a week.
Avathon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
Avathon is committed to providing reasonable accommodations throughout the recruiting process. If you need a reasonable accommodation, please contact us to discuss how we can assist you.

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