1

Director Databricks Data Engineer Jobs in Pleasanton, CA

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

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 ...

Databricks Engineer Experience 4-8 years Location As per business requirement Employment Type ... Integrate data from various sources including relational databases, APIs, cloud storage, and ...

This is a pure IC role with company-wide influence: no direct reports, maximum leverage. Databricks ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

... of Directors. Our vision is simple: data drives every Databricks decision and action. To get there ... Partner with engineering VPs, product leaders, and executive staff to embed a data‑driven ...

Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks, including building and optimizing large-scale data pipelines. Strong understanding of data architecture fundamentals such ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Job Role: Data Engineer Location: Mountain View, CA (Hybrid 3days onsite, 2 days remote ... Leverage advanced tools like Databricks for big data processing, ensuring the data is accessible ...

Data Engineer III

San Ramon, CA · 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 · 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 ...

Snowflake Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks , including building and optimizing large-scale data pipelines. * Strong understanding of data architecture fundamentals ...

They are seeking a highly skilled Senior Data Engineer / Data Architect with extensive experience in Azure and Databricks to build large-scale data platforms and deliver high-quality data products in ...

As a leading product engineering firm based in Silicon Valley, we provide full-cycle product ... CI/CD for Databricks workloads Big Data & Processing Frameworks * Apache Spark with advanced ...

next page

Showing results 1-20

Director Databricks Data Engineer information

See Pleasanton, CA salary details

$81.2K

$216.7K

$282.7K

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

As of Aug 25, 2026, the average yearly pay for director databricks data engineer in Pleasanton, CA is $216,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $157,500.00 and $281,600.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Databricks Data Engineer jobs in Pleasanton, CA?

The most popular types of Databricks Data Engineer jobs in Pleasanton, CA are:

What cities near Pleasanton, CA are hiring for Director Databricks Data Engineer jobs?

Cities near Pleasanton, CA with the most Director Databricks Data Engineer job openings:

Data Engineer

Bay Point, CA • On-site

$125K - $151K/yr

Contractor

Re-posted 5 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