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Contract Databricks Developer Jobs in California

YO AI Labs

Senior Data Engineer

Glendale, CA

$112K - $152K/yr

Contract, On-site Must Haves: * Candidates must be willing to work on W2, no C2C. * 5+ years of data engineering experience specifically developing large-scale data pipelines. * Databricks and Python ...

Mindsource Inc

Python Developer w/AI Experience

Sacramento, CA · On-site

$54.75 - $75.50/hr

Sacramento, CA (Hybrid) Duration: 6-month Contract-to-Hire (C2H) Position Summary: We are seeking a ... Enterprise data platforms (Databricks, etc.) * Partner with business stakeholders to identify and ...

BC Forward

Data Engineer (AVANADE)

Pleasanton, CA · On-site

$50 - $58.82/hr

Contract - 8 months Pay Range: $50/hr - $58.82/hr (W2) Job ID: 408367 About BCforward BCforward is ... The ideal candidate will have strong experience in Databricks, PySpark, Python, Spark SQL, and ...

Saransh Inc

Lead Data Engineer - Only W2

San Francisco, CA · On-site

$134K - $162K/yr

W2 Contract Contract Length: 9 months with possible extension Experience Level: Senior/Lead Main ... SQL, Databricks, ADF, DataStage (or other ETL tool), SSAS cubes, Cognos/other, Tableau/other ...

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Contract Databricks Developer information

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the most commonly searched types of Databricks Developer jobs in California?

The most popular types of Databricks Developer jobs in California are:

What are popular job titles related to Contract Databricks Developer jobs in California?

For Contract Databricks Developer jobs in California, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Developer jobs in California look for?

The top searched job categories for Contract Databricks Developer jobs in California are:

What cities in California are hiring for Contract Databricks Developer jobs?

Cities in California with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you

Cloud & Data Platform Security Engineer

Transcend Softech LLC

Irvine, CA • On-site

Contractor

Re-posted 9 days ago

Job description

Position: Cloud & Data Platform Security Engineer

Location: Irvine (CA), San Antonio (TX)

Duration: Long Term Contract

Experience: 5 years +

Key Technical Skills:

  • Strong knowledge of AWS security services (IAM, KMS, CloudTrail, GuardDuty, VPC).
  • Expertise in Databricks security features, cluster hardening, and workspace governance.
  • Familiarity with Microsoft Power BI integration and secure data access patterns.
  • Proficiency in implementing RBAC/ABAC, SSO/MFA, and SCIM provisioning.
  • Understanding of encryption standards (FIPS 140, TLS 1.2+) and CIS benchmarks.

Detailed JD:
We are seeking a highly skilled Cloud & Data Platform Security Engineer to design, implement, and govern security controls for AWS and Databricks environments that enable secure data analytics and reporting in Microsoft Power BI. This role will focus on identity and access management (IAM), compliance, security monitoring, and configuration hardening across cloud and data platforms.

Key Responsibilities

Identity & Access Management (IAM) Implementation & Governance

  • Design and enforce RBAC/ABAC policies, SCIM provisioning, and SSO/MFA for Databricks workspaces.
  • Manage identity lifecycle, including onboarding/offboarding and periodic access reviews.
  • Integrate Databricks and AWS services with enterprise IAM solutions (e.g., Azure AD, Okta).
  • Implement AWS IAM roles, policies, and permission boundaries for secure data access.
  • Ensure secure integration between AWS, Databricks, and Microsoft Power BI for reporting.

Security Architecture & Design

  • Develop and maintain security architecture for AWS and Databricks environments supporting Power BI analytics.
  • Design secure data pipelines and enforce encryption in transit and at rest across AWS S3, Databricks, and Power BI.
  • Implement network security controls (VPC, security groups, private endpoints) for AWS and Databricks connectivity.

Security Monitoring & Incident Response

  • Investigate and respond to IAM-related and platform security incidents and defects

Compliance & Risk Management

  • Ensure adherence to SOC 2, HIPAA, GDPR, and internal security standards across AWS and Databricks.
  • Implement data governance policies for sensitive data used in Power BI reporting.

Configuration & Hardening

  • Apply Databricks Security Profile features (CIS-hardened images, FIPS 140 encryption, TLS 1.2+).
  • Validate secure cluster configurations and enforce encryption policies in Databricks and AWS.
  • Harden AWS services (EC2, S3, IAM) following CIS benchmarks and best practices.

Collaboration & Reporting

  • Partner with data engineering, BI, and cloud teams to implement security best practices.
  • Provide security posture reports and IAM metrics to leadership.
  • Support secure integration of Power BI with AWS and Databricks for enterprise reporting.