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Senior Database Engineer Jobs in Rancho Cordova, CA

Yochana IT Solutions Inc

SQL developer

Folsom, CA

$48.50 - $66.25/hr

Senior SQL Database developer Job Location: Folsom, CA Duration: 6 months extendable Mandatory Skills: MS SQL Server Developer with SSIS and ETL Desired Skills: SSRS, Rally Hiring Mode : CTH USC/GC ...

InterSources Inc

Sr. Application Systems Developer

Davis, CA · On-site

$101K - $139K/yr

They are seeking a Senior Application Systems Developer to serve as a full-stack developer for the ... database systems. • Extract data from complex database systems and data warehouses. • Evaluate ...

ShiftCode Analytics, Inc.

Sr. Software Engineer

Rocklin, CA · On-site

$127K - $168K/yr

ShiftCode Analytics, Inc. is seeking a Sr. Software Engineer to provide operational support and ... Responsibilities : • Operational support • Prioritize stories and projects • CMDB and ITOM of ...

Williams-Sonoma, Inc.

Sr Systems Engineer

Rocklin, CA · On-site

$109K - $149K/yr

The team partners closely with architecture, cybersecurity, cloud, database, application, and ... About the Role As Senior Linux Platform Engineer, you will be responsible for the design ...

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All JobsDatabase Engineer JobsSenior Database Engineer JobsSenior Database Engineer Jobs in Rancho Cordova, CA

Senior Database Engineer information

See Rancho Cordova, CA salary details

$86.4K

$134.8K

$186.7K

How much do senior database engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for senior database engineer in Rancho Cordova, CA is $134,763.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $153,600.00 per year, depending on experience, location, and employer.

What is a senior database engineer?

A Senior Database Engineer is an experienced IT professional responsible for designing, implementing, maintaining, and optimizing database systems within an organization. They ensure databases are secure, reliable, and perform efficiently to meet business needs. Senior Database Engineers often lead projects, mentor junior staff, and collaborate with developers and system administrators to support data-driven applications. Their expertise is crucial for data integrity, scalability, and disaster recovery planning.

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

A Senior Database Engineer needs advanced knowledge of database architecture, SQL, performance tuning, and a degree in computer science or a related field. Expertise in tools like Oracle, MySQL, PostgreSQL, database clustering, and relevant certifications such as Microsoft Certified: Azure Database Administrator Associate are typical requirements. Strong problem-solving, analytical thinking, and effective communication skills help them excel in managing complex data environments and collaborating with development teams. These capabilities are crucial for ensuring robust, scalable, and secure data solutions that meet organizational needs.

What are some common challenges senior database engineers face when managing large-scale databases, and how are they typically addressed?

Senior Database Engineers often encounter challenges such as ensuring database performance under heavy loads, maintaining data integrity during migrations, and optimizing queries for efficiency. Addressing these issues usually involves proactive monitoring, implementing indexing strategies, and collaborating closely with development teams to design scalable database schemas. Regularly updating skills to keep up with new database technologies and security best practices is also essential for tackling these challenges effectively.

What is the difference between Senior Database Engineer vs Database Administrator?

AspectSenior Database EngineerDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systemsMaintaining, backing up, and securing databases
Skills & CertificationsSQL, database architecture, performance tuning, certifications like Oracle or Microsoft SQL ServerDatabase management, backup/recovery, security, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentDevelopment teams, data engineering projects, system designOperational teams, system maintenance, troubleshooting
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise IT, government, and large organizations for database upkeep

While both roles work closely with databases, a Senior Database Engineer primarily focuses on designing and optimizing database systems, whereas a Database Administrator handles daily maintenance, security, and backups. The roles complement each other but differ in scope and responsibilities.

What are popular job titles related to Senior Database Engineer jobs in Rancho Cordova, CA?

For Senior Database Engineer jobs in Rancho Cordova, CA, the most frequently searched job titles are:

What cities near Rancho Cordova, CA are hiring for Senior Database Engineer jobs?

Cities near Rancho Cordova, CA with the most Senior Database Engineer job openings:

Senior Database Engineer jobs near you
Infographic showing various Senior Database Engineer job openings in Rancho Cordova, CA as of July 2026, with employment types broken down into 78% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $134,763 per year, or $64.8 per hour.

Senior Data / Analytics Engineer

AgreeYa Solutions

Sacramento, CA • On-site

$115K - $156K/yr

Other

Posted 9 days ago

Job description

Title- Senior Data / Analytics Engineer GenAI & BI

Location- Sacramento, CA (hybrid/ 3days onsite)

Type- long term Contract-

Job Description-

Mandatory Qualifications:

  • At least seven (7) years of experience in the Information Technology (IT) field with extensive experience in report writing, data analysis, or database querying.
  • At least five (5) years of experience in data engineering, data warehousing, or BI analytics.
  • At least two (2) years of experience with ETL/ELT pipelines, cloud data warehouses such as Snowflake, Amazon Redshift, Azure Synapse, and orchestration tools (Airflow, dbt, etc.).
  • At least two (2) years of experience in SQL (advanced joins, window functions, performance tuning), data modeling (star/snowflake schemas, semantic layers), and hands-on experience with at least one major BI tool such as Power BI, Tableau, Looker.
  • At least two (2) years of hands-on experience in containerization and orchestration (Docker, Kubernetes), CI/CD pipelines for ML and data workflows, monitoring and logging for ML and BI systems, cloud infrastructure automation (Terraform, Ansible).

Desirable Qualifications:

  • Holding technical certifications in the areas of:
  • AWS certifications
  • Snowflake certifications
  • BI certifications (Power BI, Tableau)
  • AI/ML or GenAI-related coursework or credentials
  • At least five (5) years of experience in front-end UX/UI design for analytics dashboards and highly interactive reporting.
  • At least four (4) years of experience in development with React for or building scalable, highly customized production-grade user interfaces.
  • At least two (2) years of experience in front-end development with Chainlit or Streamlit for AI/ML or GenAI solutions with complex state management & data handling (e.g., real-time updates; UI states for loading, retries, and partial responses).
  • Experience and understanding in latency handling and async UX patterns, explainable AI interfaces (confidence, sources, disclaimers), and prompt design basics.
  • Hands-on experience and proven ability to build chat interfaces (streaming responses, token handling), and AI-assisted workflows (autocomplete, summarization, recommendations).
  • At least three (3) years of experience working with AI/ML or GenAI technologies.
  • At least one (1) year of hands-on experience using OpenAI APIs or similar LLM platforms, building natural language to SQL/query systems, designing prompt strategies for business insights, and prompt engineering to guide system behaviour.
  • At least three (3) years of experience in semantic layer design, data modelling, and delivering enterprise semantic models across multiple teams for large organizations.
  • At least one (1) year of experience in developing semantic models supporting natural language querying and AI-driven analytics (i.e., GenBI); statistical analysis, predictive analytics, and optimization.
  • Have a bachelor s degree in computer science, computer engineering, or related fields from an accredited or government sanctioned college/university.

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