Data Engineer

Company: Cupertino Electric, Inc.
Location: San Jose
Posted on: May 3, 2025

Job Description:

Posting Title: Data EngineerReports To: Director of Data & ArchitectureLocation: San Jose, CaliforniaSalary Range: $120,000 to $180,000Final determination of a successful candidate's starting pay will vary based on a number of factors, including market location and may vary depending on job-related knowledge, skills, education and experience. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. Our compensation reflects the cost of labor across several US geographic markets.WHO WE AREFor more than 70 years, Cupertino Electric, Inc. (CEI) has been powered by people who've built a reputation for delivering high-profile, complex projects. Real, tangible things that alter the landscape and improve lives. But even more than that, we've built a reputation for integrity. We're problem solvers and innovation seekers. We're team players and safety fanatics. And we always-always-do the right thing. Even when no one is looking. Because what we do here is important, but how we do it is everything.THE IT TEAMOur projects may be complex, but our approach is simple: We build great things and we do it with great people. Using well-designed processes and controls, integrating smart and reliable solutions, and providing access to the information needed, our IT Team comprised of seasoned and experienced professionals, enable the success of the organization. We do this while minimizing operational and financial impact.ABOUT THE ROLEThe Data Engineer at Cupertino Electric is responsible for designing, building, and maintaining the data infrastructure that powers our analytics and reporting capabilities. This role focuses on creating efficient data pipelines, implementing data integration solutions, and ensuring data quality across our enterprise systems.Data Architecture & Integration

• Design and implement data pipelines to Databricks
• Create and maintain ETL processes integrating data from multiple sources including:
  • JD Edwards
  • Procore and ACC construction management systems
  • HCM and CRM platforms
  • Secondary applications
  • Develop data models that support business intelligence and analytics requirements
  • Implement data quality frameworks and monitoring systemsPipeline Development
    • Build robust, scalable data pipelines
    • Develop integration processes for real-time and batch data movement
    • Create automated data validation and reconciliation processes
    • Implement logging and monitoring solutions for data pipelines
    • Optimize performance of data integration processes
    • Support DevOps practices for data pipeline deploymentData Quality & Governance
      • Implement data quality checks and validation rules
      • Create data lineage documentation
      • Develop and maintain data dictionaries
      • Ensure compliance with data governance policies
      • Monitor data quality metrics and resolve issues
      • Implement data security measuresKnowledge: Having wide-ranging experience, uses professional concepts and company objectives to resolve complex issues in creative and effective ways. Some barriers to entry exist at this level (e.g., dept/peer review).Job Complexity: Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. Exercises judgment in selecting methods, techniques and evaluation criteria for obtaining results. Networks with key contacts outside own area of expertise.Supervision: Determines methods and procedures on new assignments and may coordinate activities of other personnel (Team Lead).ABOUT YOUTechnical CompetenciesData Processing & Integration
        • Databricks: Delta Lake implementation, Spark SQL, DBT, Optimization techniques, Job scheduling and monitoring
        • Integration Tools: ADF, ETL/ELT methodologies, API integration, Real-time data streaming
        • Database Technologies: SQL database design, NoSQL databases, Data modeling, Query optimization, Performance tuningEnterprise Systems: JD Edwards data structures, Procore data integration, ACC system integration, Reports Now, HCM data integration, CRM data structures, Power BI integration patternsDevelopment & Operations
          • Programming Languages: Python, SQL, Shell scripting, Java (preferred)DevOps Practices: Version control (Git), CI/CD pipelines, Infrastructure as Code, Monitoring and loggingAnalysis Competencies
            • Data modeling and architecture
            • Performance optimization
            • Problem-solving skills
            • Requirements analysis
            • Technical documentation
            • Data quality assessmentKey Skills:
              • Strong SQL and Python programming skills
              • Experience with Databricks or similar data processing platforms
              • Knowledge of data integration tools (preferably Boomi)
              • Understanding of data warehouse concepts
              • Strong analytical and problem-solving abilities
              • Excellent communication skills
              • Ability to work independently and in teams
              • Attention to detail
              • Documentation expertiseMINIMUM QUALIFICATIONSAny combination of education and experience that would likely provide the required knowledge, skills and abilities as well as possession of any required licenses or certifications is qualifying.Education: Bachelor's degree in computer science, Information Systems, or related fieldLicensure/Certifications:n/aExperience: 4+ years of experience in data engineeringPREFERRED QUALIFICATIONS
                • Construction industry experience
                • Certifications in:
                  • Databricks
                  • Cloud platforms (Azure)
                  • Experience with data governance implementation
                  • Knowledge of data privacy regulations#LI-SA1PLEASE NOTE: CEI will never ask for any money or financial information from applicants during the hiring process. To learn more about "job scams" how to avoid them, CEI is a place where every single person can-and does-have an impact on the work we do and the communities we serve. Here, you can build your own story and grow to your full potential. You can collaborate and celebrate with amazing people. And you'll go home every day knowing you helped contribute to important work that shapes people's lives. Our commercial, data center and energy projects may be complex, but our approach is simple. We build great things and we do it with great people.The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department, program or project needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.Cupertino Electric, Inc. (CEI) is proud to be an Equal Employment Opportunity and affirmative action employer. We celebrate diversity and do not discriminate based on race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law.Cupertino Electric Inc. aims to make cei.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact us at ceijobs@cei.com or 1-(877)-747-4CEI.
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Keywords: Cupertino Electric, Inc., Lodi , Data Engineer, Engineering , San Jose, California