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Database Engineer Jobs in Milpitas, CA (NOW HIRING)

Jobsbridge

SQL Server DBA

Palo Alto, CA · On-site

Must work well in a global team environment that interacts with Data Architects, Application Developers, Server Administrators, Planners, Vendors, Server/Database Engineering and Plant IT Operations ...

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Database Engineer information

See Milpitas, CA salary details

$70.5K

$142.3K

$195.2K

How much do database engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for database engineer in Milpitas, CA is $142,306.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $163,200.00 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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Database Engineer jobs near you
Infographic showing various Database Engineer job openings in Milpitas, CA as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $142,306 per year, or $68.4 per hour.

Senior Database Reliability Engineer

Neshent Technologies

Milpitas, CA • On-site

Full-time

Posted 14 days ago

Job description

We are seeking a Senior Database Reliability Engineer (DBRE) to design, operate, and improve reliable, scalable, secure, and highly available database and data platforms. The role combines database engineering, site reliability engineering, Linux systems administration, and infrastructure automation.

The ideal candidate will have strong production experience with PostgreSQL, AWS, Kubernetes, infrastructure as code, and distributed data systems and will work closely with SRE, application, security, and infrastructure teams.

Roles & Responsibilities
  • Design, administer, maintain, and secure PostgreSQL environments in production and cloud environments.
  • Manage PostgreSQL deployments on Kubernetes and Amazon RDS.
  • Perform database administration activities including installation, upgrades, patching, backup/recovery, monitoring, capacity planning, and performance tuning.
  • Troubleshoot production issues across application, database, operating system, storage, and network layers.
  • Design and maintain ETL pipelines and develop scripts and procedures for data migration.
  • Build and automate database and infrastructure operations using Terraform, Ansible, Chef, or Puppet.
  • Develop operational tooling and automation using Python, Bash, Go, Ruby, or Perl.
  • Monitor database health, performance, availability, and capacity and implement improvements.
  • Participate in on-call rotations, incident response, alerting, and post-incident reviews.
  • Improve reliability practices through SLOs, disaster recovery, backup validation, and failover testing.
  • Build database platform tooling and self-service workflows that enable application teams to use data services safely and efficiently.
  • Operate and support distributed data systems such as Kafka/MSK, ClickHouse, Redis, MySQL, Cassandra, or Elasticsearch.
  • Collaborate with SRE, application engineering, security, and infrastructure teams to drive reliable architectural changes.
  • Create technical documentation and design proposals and communicate solutions effectively to engineering stakeholders.
Required Qualifications
  • 5+ years of experience designing, operating, and troubleshooting PostgreSQL in production environments.
  • 5+ years managing production databases or distributed data systems across application, database, OS, storage, and network layers.
  • Hands-on experience with AWS, Amazon RDS, Kubernetes, Terraform, service discovery, and secrets management.
  • 3+ years of Linux systems engineering experience, including performance tuning, memory management, I/O tuning, security, configuration, and networking.
  • Experience automating infrastructure or database operations using Terraform, Ansible, Chef, or Puppet.
  • 2+ years of scripting or programming experience with Python, Bash, Go, Ruby, or Perl.
  • Experience working with at least one non-PostgreSQL data platform such as Kafka/MSK, ClickHouse, Redis, MySQL, Cassandra, or Elasticsearch.
  • Strong understanding of PostgreSQL internals, including replication, concurrency, transactions, indexing, maintenance, backup/recovery, and query performance.
  • Strong troubleshooting, problem-solving, communication, and documentation skills.
Preferred Skills
  • Experience building database platform tooling, self-service workflows, and standardized operational processes.
  • Experience operating Kafka/MSK, ClickHouse, or Redis at scale, including clustering, replication, partitioning/sharding, retention, capacity planning, and workload tuning.
  • Experience defining and improving reliability practices for production data systems.
  • Strong knowledge of SLOs, disaster recovery, backup validation, failover, and resilience testing.
  • Experience with cloud-native database architectures and distributed systems.
  • Ability to create technical design documents and communicate complex database and reliability concepts effectively.
  • Ability to work effectively in a fast-paced, collaborative engineering environment.

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