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Contract Databricks Developer Jobs in California

Arkhya Tech

Azure Data Engineer - MS Fabric

Fremont, CA · Hybrid

$125.30K - $150.50K/yr

Senior/Lead Data Engineer (Contract | Fremont, CA Hybrid) Duration: 12 Months Contract Work Model ... Work with Azure services including ADF, Databricks, and Microsoft Fabric * Collaborate with ...

Mondo

$130/hr

Contract Compensation Range: $130-150K Benefits: Eligible for Health, Dental, Vision, 401K, PTO ... Lead development and optimization of data pipelines using Databricks, SQL, Python, and PySpark

Mercor

DevOps Engineer

San Francisco, CA · Remote

$55 - $75/hr

Contract Compensation: $55-$75/hour Location: Remote Role Responsibilities * Build a realistic ... data platform ( Snowflake, Databricks ), or a Fortune 500 platform/infrastructure team

Saransh Inc

Lead Data Engineer - Only W2

San Francisco, CA · On-site

$134.90K - $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 ...

Georgia IT

Lead Data Engineer with MarTech

San Francisco, CA · Hybrid

$134.90K - $162K/yr

Contract Rate : DOE Key Responsibilities * Lead endtoend MarTech engineering initiatives across ... Develop highperformance bigdata applications using Scala, Databricks, Spark SQL, Spark Streaming ...

New

Arctiq, Inc.

Data Engineer

Irvine, CA

$122.90K - $147.60K/yr

This is a 3 months contract opportunity (with potential extension). You will be embedded in our ... Databricks is our exclusive platform, and deep hands-on experience with it is essential including ...

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Contract Databricks Developer information

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 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 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 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
Senior ETL Databricks Developer - Long Term Contract - Foster City, CA

Senior ETL Databricks Developer - Long Term Contract - Foster City, CA

Right Skale, Inc.

Foster City, CA • On-site

Contractor

Posted 28 days ago

Job description

Senior ETL Databricks Developer - Long Term Contract - Foster City, CA
We are seeking a Senior ETL Databricks Developer to design and optimize high-performance data pipelines using Databricks on AWS. The role demands expertise in building scalable data solutions, leveraging modern data lake architectures, and integrating with advanced tools to support enterprise data workflows.
Key Responsibilities
  • Design, develop, and optimize ETL data pipelines using Databricks and AWS.
  • Implement and manage data lake solutions with Delta Lake for efficient storage and processing.
  • Utilize Spark (Python/Scala) for large-scale data processing and performance tuning.
  • Develop robust data models to support business requirements and analytics.
  • Integrate CI/CD pipelines for automated data workflow deployments.
  • Collaborate with cross-functional teams to integrate MLflow and other tools for enhanced data operations.

Required Skills and Experience
  • Extensive experience with Databricks, Spark, and Delta Lake on AWS.
  • Proficiency in Python and/or Scala for data pipeline development.
  • Strong knowledge of modern data lake architectures and ETL frameworks.
  • Expertise in data modeling and performance optimization for large-scale datasets.
  • Hands-on experience with CI/CD for data workflows.
  • Familiarity with MLflow for managing machine learning lifecycles.

Preferred Qualifications
  • Experience with AWS cloud services (e.g., S3, Redshift, Glue).
  • Knowledge of data governance and security best practices.
  • Ability to work in a fast-paced, collaborative onsite environment.

Job Type: Contract
Duration: 12 M+ Extendable
Location: Foster City, CA
Work Type: Onsite

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