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Freelance Databricks Data Engineer Jobs in California

Sr Databricks Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

San Jose, CA · On-site

$134.20K - $161.10K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

San Diego, CA · On-site

$121.60K - $146K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

AWS Databricks Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

AWS Databricks Data Engineer Location : Los Angeles CA (Hybrid) - We are seeking a highly skilled AWS Data Engineer with strong expertise in SQL, Python, PySpark, Data Warehousing, and Cloud-based ET ...

Sr Databricks Data Engineer

Costa Mesa, CA · On-site

$121.40K - $145.80K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Sr Databricks Data Engineer

San Jose, CA

$122.50K - $168.20K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr Databricks Data Engineer

San Francisco, CA

$123.10K - $169.10K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr Databricks Data Engineer

Costa Mesa, CA

$112.10K - $154K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr Databricks Data Engineer

Los Angeles, CA

$112.60K - $154.60K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Sr Databricks Data Engineer

San Diego, CA

$110.90K - $152.40K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

AWS Databricks Data Engineer

Los Angeles, CA · On-site

$123.40K - $148.20K/yr

AWS Databricks Data Engineer We are seeking a highly skilled AWS Data Engineer with strong expertise in SQL, Python, PySpark, Data Warehousing, and Cloud-based ETL to join our data engineering team.

Sr Databricks Data Engineer

Sacramento, CA

$111.40K - $153K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Data Engineer

Bay Point, CA · On-site

$125.90K - $151.10K/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 ...

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Freelance Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as a Freelance Databricks Data Engineer, and why are they important?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks Data Engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What are Freelance Databricks Data Engineers?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What are the most commonly searched types of Databricks Data Engineer jobs in California? The most popular types of Databricks Data Engineer jobs in California are:
What are popular job titles related to Freelance Databricks Data Engineer jobs in California? For Freelance Databricks Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Databricks Data Engineer jobs in California look for? The top searched job categories for Freelance Databricks Data Engineer jobs in California are:
What cities in California are hiring for Freelance Databricks Data Engineer jobs? Cities in California with the most Freelance Databricks Data Engineer job openings:
Sr Databricks Data Engineer

Sr Databricks Data Engineer

Deloitte

San Francisco, CA • On-site

$134.90K - $162K/yr

Full-time

Posted 6 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

60th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leading professional services firm that helps clients leverage modern data platforms for analytics and business transformation. As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments.
Responsibilities:
• Lead the design and implementation of enterprise data pipelines, data models, and cloud-based data architectures using Databricks
• Build and optimize batch and streaming data solutions that support analytics, reporting, and operational use cases
• Advise stakeholders on platform capabilities, architecture decisions, governance controls, and delivery approaches aligned to business objectives
• Drive engineering quality through automation, continuous integration/continuous deployment (CI/CD), performance tuning, and scalable delivery practices
• Contribute to technical best practices, evaluate emerging platform capabilities, and support teams delivering modern data engineering solutions
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related field and 1+ years of experience leading cross-functional data engineering projects or technical teams
• 5+ years of experience in data engineering with a focus on Databricks deployed on Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• 5+ years of experience with Apache Spark, Delta Lake, Lakehouse architecture, and enterprise data warehousing, including third normal form (3NF) and dimensional modeling
• Experience building batch and incremental data pipelines using PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, or Apache Airflow
• Experience with Databricks Unity Catalog, fine-grained security controls, and continuous integration/continuous deployment (CI/CD) pipeline deployment
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Engineering, or a related field
• Experience with one or more cloud ecosystems, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
• Experience tuning Databricks or Apache Spark workloads for performance and cost efficiency
• Experience with Databricks Lakeflow
• Experience supporting artificial intelligence or machine learning use cases on cloud data platforms
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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