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Contract Databricks Data Engineer Jobs in California

Senior Data Engineer

Palo Alto, CA ยท On-site

$124K - $169K/yr

Title: Senior Data Engineer Location: Palo Alto, CA Working Hours: 8am-5pm Duration:4 Months ... contract compliance across key pipelines. Optimize Databricks jobs, Fivetran connectors, and dbt ...

Data Engineer

Los Angeles, CA ยท On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile ...

Experience with Databricks * Experience writing software in programming languages, including Python ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

San Diego, CA ยท On-site

$61K - $141K/yr

Experience with Databricks * Experience writing software in programming languages, including Python ... as well as contract-specific affordability and organizational requirements. The projected ...

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

Data Engineer

San Diego, CA ยท On-site

$61K - $141K/yr

Experience with Databricks * Experience writing sof tware in programming languages, including ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

Mountain View, CA ยท 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 ...

... 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 ...

Data Engineer - Senior Associate

Irvine, CA ยท On-site

$77K - $202K/yr

... 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 ...

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

Data Engineer

Berkeley, CA ยท On-site

$140K - $168K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

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

Data Engineer

Los Angeles, CA ยท On-site

$123K - $148K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

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 ...

... 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 ...

Data Engineer

Berkeley, CA ยท On-site

$140K - $168K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

... 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 ...

... 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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Contract Databricks Data Engineer information

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

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

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
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 Contract Databricks Data Engineer jobs in California? For Contract Databricks Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in California look for? The top searched job categories for Contract Databricks Data Engineer jobs in California are:
What cities in California are hiring for Contract Databricks Data Engineer jobs? Cities in California with the most Contract Databricks Data Engineer job openings:
Infographic showing various Contract Databricks Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 65% Full Time, 18% Part Time, 2% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

iFlow Inc

Palo Alto, CA โ€ข On-site

$124K - $169K/yr

Contractor

Posted 5 days ago


Job description

Title: Senior Data Engineer
Location: Palo Alto, CA
Working Hours: 8am-5pm
Duration:4 Months
Experience:7-15 Years
ย 
Job Description:
About the Team & the Role

The Core Data team builds and scales a bestโ€‘inโ€‘class data platform and analytics capabilities that power decisionโ€‘making across client. Within Core Data, the Operational Insights team focuses on production environments: we turn rich operational and quality signals into trusted data products and metrics that help improve business processes and performance.
As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics across programs and sites. You will design and maintain scalable ingestion pipelines, develop well-modeled datasets, and ensure data quality and reliability across critical systems.
This role sits at the intersection of operational systems, modern data platform engineering, and analytics enablement, helping convert raw operational signals into governed, high-value datasets that power analytics applications, core metrics, and future AI-driven insights.
ย 
What Youโ€™ll Do
Design, build, and operate data ingestion pipelines from operational, quality, test, and service systems into Databricks using Fivetran/AWS/Databricks and standardized ELT patterns.
Develop and maintain dbt models for operational, quality, and ramp metrics, following our standard patterns for analytics.
Set up and maintain data quality checks, audits, and monitoring for freshness, completeness, and contract compliance across key pipelines.
Optimize Databricks jobs, Fivetran connectors, and dbt runs for performance, cost, and reliability, including orchestration, alerting, and runbooks.
Collaborate with analytics engineers and product teams to turn models into highโ€‘value data products powering analytics applications.
Contribute to the semantic layer and catalog so GenAI agents and selfโ€‘service tools can reliably discover and query operational data.
Drive improvements in upstream systems and schemas to reduce data issues at the source.
ย 
Qualifications Required
6+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
Strong expertise in SQL and Python for building scalable data pipelines and transformations.
Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks strongly preferred).
Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
Experience with managed ingestion tools such as Fivetran, Airbyte, or similar.
Experience designing and operating production-grade data pipelines with monitoring and observability.
Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
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Nice-to-Have Skills
Experience working with manufacturing, MES, quality, or operational data.
Familiarity with Fivetran connector management and ingestion architecture.
Experience with data contracts and schema governance.
Experience building semantic layers or governed analytical datasets.
Exposure to modern analytics tools (Hex, Tableau, Power BI, or similar).
Experience enabling AI or advanced analytics use cases on top of operational data.
Knowledge of streaming or near-real-time data pipelines.