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Trainee Databricks Data Engineer Jobs in Concord, CA

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with Databricks Job Summary: We are seeking a skilled Data Engineer with hands-on Databricks experience to ...

Data Engineer

Oakland, CA ยท On-site

$131K - $157K/yr

Job Summary We are seeking a Data Engineer with expertise in Azure Databricks to support the modernization of enterprise data platforms. The ideal candidate will have experience migrating Oracle PL ...

Data Engineer III

San Ramon, CA ยท On-site +1

$128K - $153K/yr

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

Data Engineer III

San Ramon, CA ยท On-site +1

$128K - $153K/yr

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

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Trainee Databricks Data Engineer information

See Concord, CA salary details

$48.8K

$142.3K

$194.8K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for trainee databricks data engineer in Concord, CA is $142,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,600.00 and $150,900.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are popular job titles related to Trainee Databricks Data Engineer jobs in Concord, CA? For Trainee Databricks Data Engineer jobs in Concord, CA, the most frequently searched job titles are:
What job categories do people searching Trainee Databricks Data Engineer jobs in Concord, CA look for? The top searched job categories for Trainee Databricks Data Engineer jobs in Concord, CA are:
What cities near Concord, CA are hiring for Trainee Databricks Data Engineer jobs? Cities near Concord, CA with the most Trainee Databricks Data Engineer job openings:

Data Engineer

Kanak Elite Services Inc

Bay Point, CA โ€ข On-site

Contractor

Re-posted 19 days ago


Job description

Hello There,

Wish you a Happy Monday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email with your updated resume.  

Position : Databricks Data Engineer
Location: [Bay Area, CA]

Duration : 12+ Months
Need experience with Databricks

Job Summary:
We are seeking a skilled Data Engineer with hands-on Databricks experience to design, build, and optimize large-scale data pipelines and analytics solutions. You will work with cross-functional teams to enable scalable data processing using the Databricks Lakehouse Platform on Azure.

Key Responsibilities:
• Design and implement ETL/ELT pipelines using Databricks, Delta Lake, and Apache Spark
• Collaborate with data scientists, analysts, and stakeholders to deliver clean, reliable, and well-modeled data
• Build and manage data workflows with Databricks Jobs, Notebooks, and Workflows
• Optimize Spark jobs for performance, reliability, and cost-efficiency
• Maintain and monitor data pipelines, ensuring availability and data quality
• Implement CI/CD practices for Databricks notebooks and infrastructure-as-code (e.g., Terraform, Databricks CLI)
• Document data pipelines, datasets, and operational processes
• Ensure compliance with data governance, privacy, and security policies
Qualifications:
• Bachelor’s or Master’s in Computer Science, Data Engineering, or a related field
• 5+ years of experience in data engineering or a similar role
• Strong hands-on experience with Databricks and Apache Spark (Python, Scala, or SQL)
• Proficiency with Delta Lake, Unity Catalog, and data lake architectures
• Experience with cloud platforms (Azure, AWS, or GCP), especially data services (e.g., S3, ADLS, BigQuery)
• Familiarity with CI/CD pipelines, version control (Git), and job orchestration tools (Airflow, DB Workflows)
• Strong understanding of data warehousing concepts, performance tuning, and big data processing
Preferred Skills:
• Experience with MLflow, Feature Store, or other machine learning tools in Databricks
• Knowledge of data governance tools like Unity Catalog or Purview
• Experience integrating BI tools (Power BI, Tableau) with Databricks
• Databricks certification(s) (Data Engineer Associate/Professional, Machine Learning, etc.)

Feel free to reach out yashmita@kanakits.com