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Contract Databricks Developer Jobs in Moraga, CA

PBK

Data Engineer

Berkeley, CA · 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 ...

PBK

Data Engineer

Berkeley, CA

$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 ...

AllSTEM Connections

Database Modeler

San Francisco, CA · On-site

$235K/yr

Role Type: Contract Location: Hybrid The Opportunity We are seeking a highly skilled Database ... Leverage Databricks for complex data engineering tasks, including processing, validation, and ...

Addison Group

AI Architect

Alameda, CA · On-site

$115 - $135/hr

Alameda, CA Assignment Type: 6-month contract with potential for extension and/or conversion Pay ... Key Responsibilities: • Architect and enhance enterprise AI platforms leveraging AWS, Databricks ...

Addison Group

AI Architect

Alameda, CA · On-site

$115 - $135/hr

Alameda, CA Assignment Type: 6-month contract with potential for extension and/or conversion Pay ... Key Responsibilities: • Architect and enhance enterprise AI platforms leveraging AWS, Databricks ...

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Contract Databricks Developer information

See Moraga, CA salary details

$22

$65

$84

How much do contract databricks developer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for contract databricks developer in Moraga, CA is $65.30, according to ZipRecruiter salary data. Most workers in this role earn between $58.70 and $72.26 per hour, depending on experience, location, and employer.

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 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 key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

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 cities near Moraga, CA are hiring for Contract Databricks Developer jobs? Cities near Moraga, CA with the most Contract Databricks Developer job openings:
Contract Databricks Developer jobs near you

Principal AI Platform Engineer

SWITS DIGITAL Private Limited

San Francisco, CA • On-site

Full-time

Posted 9 days ago

Job description

Principal AI Platform Engineer
San Francisco, CA - Hybrid
Job Description
• Strong experience in data engineering, data platforms, distributed systems, or enterprise data infrastructure.
• Practical experience building AI-enabled data systems, retrieval systems, semantic layers, or data agents.
• Strong knowledge of SQL, APIs, documents, vector search, knowledge graphs, and metadata systems.
• Experience with agentic interfaces, tool-calling, MCP or similar protocols, function calling, or AI backends.
• Good understanding of governance: access control, policies, contracts, lineage, data quality, PII protection, and auditability.
• Ability to build production systems that are safe, observable, testable, and reliable.
• Strong Python skills and comfort working across backend services, data systems, APIs, and AI frameworks.
• Product-minded judgment: you know the difference between a demo, a customer-specific workaround, and a reusable platform capability.
• Comfort working in ambiguous areas where the patterns are still being defined.
Nice to have
• Experience with data mesh, data products, semantic models, catalogs, governance platforms, or data marketplaces.
• Experience with MCP servers, tool registries, LLM orchestration, RAG systems, or multi-step agents.
• Experience with Databricks, Snowflake, BigQuery, Spark, DuckDB, Postgres, graph databases, vector databases, or lakehouse architectures.
• Experience with enterprise identity and authorization systems such as SSO, OAuth, OIDC, SAML, SCIM, RBAC, ABAC, or policy engines.
• Experience evaluating AI systems for retrieval quality, tool-use accuracy, groundedness, reproducibility, and failure modes.

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