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Oracle Adf Developer Jobs in California (NOW HIRING)

ADLS Gen2, ADF, Synapse, Azure SQL, Key Vault, App Services * Cloud-native architecture design ... CI/CD pipelines (Azure DevOps, GitHub Actions, Bitbucket) * Infrastructure as Code (Terraform, ARM ...

Data Engineer

Sunnyvale, CA

$134K - $161K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Skilled in discovering patterns in large data sets with the use of relevant software such as Oracle ...

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Oracle Adf Developer information

See California salary details

$56

$70

$79

How much do oracle adf developer jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for oracle adf developer in California is $70.48, according to ZipRecruiter salary data. Most workers in this role earn between $65.48 and $76.63 per hour, depending on experience, location, and employer.

What Does an Oracle ADF Developer Do?

An Oracle ADF developer works on development projects within the Oracle Application Development Framework (ADF). In this career, you develop customized software, server, and application solutions for a corporation or organization. Your responsibilities include working on the framework for application and software development and testing using Java programming. You may also communicate with clients or your employer to assess their needs and create a customized plan for development. Other duties include performing research to find design techniques and approaches that fit the needs of your enterprise solutions projects.

What is the difference between Oracle Adf Developer vs Oracle PL/SQL Developer?

AspectOracle Adf DeveloperOracle PL/SQL Developer
Primary FocusDeveloping web applications using Oracle ADF frameworkWriting and optimizing PL/SQL scripts and stored procedures
Required SkillsJava, ADF, WebLogic, XMLPL/SQL, SQL, database design
Work EnvironmentApplication development teams, Java-based projectsDatabase-centric roles, backend development
CertificationsOracle ADF certifications, Java certificationsOracle PL/SQL Developer certifications

While both roles involve Oracle technologies, an Oracle Adf Developer primarily focuses on building web applications with Oracle ADF and Java, whereas an Oracle PL/SQL Developer specializes in database scripting and optimization. The roles often collaborate but serve different parts of the application stack.

What are some common challenges Oracle ADF Developers face when working on enterprise-level projects?

Oracle ADF Developers often encounter challenges such as integrating ADF applications with legacy systems, optimizing application performance, and ensuring scalability for large user bases. Navigating complex business requirements and collaborating with cross-functional teams—such as database administrators, business analysts, and UI/UX designers—can also be demanding. Staying updated with Oracle's frequent updates and best practices is essential to maintain secure and efficient applications.

What are Oracle ADF Developers?

Oracle ADF Developers are IT professionals who specialize in using Oracle Application Development Framework (ADF) to design, build, and maintain enterprise applications. Their work involves developing user interfaces, business logic, and integration layers based on Java EE standards. They typically collaborate with business analysts, database administrators, and other developers to deliver scalable and robust applications for organizations using Oracle technologies.

What are the key skills and qualifications needed to thrive as an Oracle ADF Developer, and why are they important?

To thrive as an Oracle ADF Developer, you need strong skills in Java, XML, SQL, and a solid understanding of Oracle Application Development Framework, often supported by a degree in computer science or a related field. Familiarity with Oracle JDeveloper, ADF Faces, and integration tools, along with relevant Oracle certifications, is highly valuable. Problem-solving ability, attention to detail, and effective communication are important soft skills for collaborating with teams and addressing complex requirements. These skills ensure efficient development of scalable, secure enterprise applications tailored to business needs.
What are the most commonly searched types of Oracle Adf Developer jobs in California? The most popular types of Oracle Adf Developer jobs in California are:
What cities in California are hiring for Oracle Adf Developer jobs? Cities in California with the most Oracle Adf Developer job openings:
Infographic showing various Oracle Adf Developer job openings in California as of June 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 100% In-person job distribution, with an average salary of $146,602 per year, or $70.5 per hour.

Principal Data Engineer

Bayrock Labs

Milpitas, CA • On-site

$80 - $85/hr

Full-time

Posted 21 days ago


Job description

About BayRock Labs
At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let's redefine what's possible in technology.
We are looking for a highly skilled Senior Data Engineer / Data Architect with deep hands-on expertise in Azure, Databricks, PySpark, Python, SQL, and modern data warehousing. This role is ideal for someone who has built large-scale data platforms, designed enterprise-grade architectures, and delivered high-quality data products in cloud environments.
Core Technical Expertise
Azure Cloud Platform
  • ADLS Gen2, ADF, Synapse, Azure SQL, Key Vault, App Services
  • Cloud-native architecture design, scalability, and cost optimization
  • Security & governance: RBAC, Managed Identity, Private Endpoints
Databricks Engineering
  • End-to-end development on Azure Databricks
  • Lakehouse architecture implementation
  • Delta Live Tables (DLT), Unity Catalog
  • Performance tuning, cluster optimization
  • CI/CD for Databricks workloads
Big Data & Processing Frameworks
  • Apache Spark with advanced PySpark transformations
  • Structured Streaming & batch data pipelines
  • Delta Lake architecture & optimization
Programming & Querying
  • Python for automation, data engineering, and orchestration
  • PySpark for distributed data processing
  • SQL for complex query optimization and analytics engineering

Data Architecture & Engineering
  • Enterprise Data Warehouse (EDW) architecture
  • Dimensional modeling (Star/Snowflake)
  • Data Vault 2.0 modeling
  • Metadata-driven ingestion frameworks
  • Change Data Capture (CDC) implementation
  • Medallion architecture (Bronze/Silver/Gold)
  • Data lineage, governance, cataloging
  • Master Data Management (MDM)

Data Products & Analytics Enablement
  • Design and delivery of scalable data products
  • Business-aligned semantic layer design
  • KPI frameworks & enterprise reporting enablement
  • Integration of ERP, SaaS, and operational systems
  • Hybrid Lakehouse + EDW architectures

DevOps & Engineering Practices
  • CI/CD pipelines (Azure DevOps, GitHub Actions, Bitbucket)
  • Infrastructure as Code (Terraform, ARM templates)
  • Automated testing (unit, integration, data quality)
  • Monitoring, logging, and observability
  • Agile/Scrum delivery

Strategic & Leadership Impact
  • Principal-level solution architecture design
  • Cross-functional stakeholder collaboration
  • Technical roadmap planning and execution
  • Guidance on data governance frameworks (GDPR, SOX)
  • Cloud cost optimization strategies
  • Migration from legacy EDWs (Teradata, Oracle, SQL Server) to Lakehouse

Ideal Candidate Profile
  • 5-10+ years of hands-on experience in data engineering or data architecture
  • Strong expertise in Azure + Databricks ecosystem
  • Proven experience building scalable, secure, high-performance data platforms
  • Ability to lead design discussions, influence architecture decisions, and mentor teams
  • Strong problem-solving mindset and passion for modern data engineering

The pay range for this role is:
80 - 85 USD per hour (Milpitas, CA)