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Freelance Databricks Data Engineer Jobs in California

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

Compunnel

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

The ideal candidate will have strong expertise in Azure, Databricks, Spark, SQL, Python, and cloud ... hands-on data engineering experience using distributed computing technologies such as Spark ...

Scalence L.L.C.

Data Engineer - Lead

Irvine, CA · On-site

Skills- pipeline design| performance tuning (Databricks| Spark| PySpark| SQL| pipeline development| performance tuning) • Tower Lead - with Data engineering L3 Support Experience; Asset Management ...

Perficientcorp Inc

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 ...

Glow Networks

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 ...

Pwc

Data Engineer - Senior Manager

San Diego, CA

$124K - $280K/yr

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

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Freelance Databricks Data Engineer information

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 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 is a freelance Databricks data engineer?

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 are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

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.
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Freelance Databricks Data Engineer jobs near you

Senior Data Engineer - Databricks - 1613

aKube, Inc.

Los Angeles, CA • On-site

$89/hr

Contractor

Re-posted 23 days ago

Job description


Location: Los Angeles, CA
Onsite/ Hybrid/ Remote: Hybrid (Once a week onsite)
Duration: 12 Months
Rate Range: Upto $89/hr on C2C or $82/hr on W2
Work Authorization: GC, USC, All valid EADs except H1B, OPT, CPT
Must Have:
  • Databricks and Snowflake for data platforms
  • Spark or PySpark with Python for batch processing
  • Advanced SQL with query tuning, partitioning, clustering
  • Data modeling using star, snowflake, SCD, OBT, normalized models
  • Experience with Medallion architecture
  • Data ingestion pipelines and large-scale migrations
  • Orchestration tools for data workflows
  • Data platform debugging and observability

Responsibilities:
  • Design and build large-scale data pipelines for ingestion and transformation
  • Develop ETL and ELT frameworks using Databricks and Spark
  • Optimize SQL queries and improve data performance
  • Build and maintain scalable data models across lakehouse platforms
  • Lead data migration efforts across systems and environments
  • Implement orchestration for reliable data workflows
  • Monitor data pipelines and resolve production issues
  • Ensure governance, data quality, and observability across platforms

Qualifications:
  • 7+ years in data engineering or data platform roles
  • Strong hands-on experience with Databricks or Snowflake
  • Deep expertise in SQL and distributed data processing
  • Experience building scalable data models and architectures
  • Proven experience with large-scale data migrations
  • Bachelor's degree in Computer Science or related field

Nice to Have:
  • Experience with ML data pipelines and feature engineering
  • Exposure to streaming frameworks like Kafka
  • Knowledge of cloud platforms like AWS, Azure, or GCP
  • Experience with data governance tools and frameworks

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