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Contract Databricks Data Engineer Jobs in Milpitas, CA

Qualitest Group

Data Engineer

Santa Clara, CA · On-site

$110K - $120K/yr

... Databricks, Snowflake) 3. Strong hands-on PySpark with Spark performance tuning (joins ... data environments. -Experience with CI/CD, DevOps practices, and version control, with preference ...

Databricks

Staff Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

P-1691 At Databricks, we're passionate about enabling data teams to solve the world's toughest ... Founded by engineers and driven by customer obsession, Databricks takes pride in tackling hard ...

Qualitest Group

Data Engineer

Santa Clara, CA · On-site

$110K - $120K/yr

... Databricks, Snowflake) 3. Strong hands-on PySpark with Spark performance tuning (joins ... data environments. -Experience with CI/CD, DevOps practices, and version control, with preference ...

Apple

AI Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

... data contracts, and operational runbooks Minimum Qualifications Bachelor's degree in Computer ... platforms (Snowflake, Databricks, BigQuery, or similar) Experience with ETL/ELT tools (dbt ...

Databricks

Sr Software Engineer-Networking

Mountain View, CA · On-site

$166K - $225K/yr

(P-1286) At Databricks, we are passionate about enabling data teams to solve the world's toughest ... We are seeking experienced Senior Software Engineers with large-scale distributed system experience ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Milpitas, CA

Contract Databricks Data Engineer information

See Milpitas, CA salary details

$51.9K

$151.2K

$206.9K

How much do contract databricks data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contract databricks data engineer in Milpitas, CA is $151,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,400.00 and $160,200.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

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 skills and qualifications are needed to thrive as a contract Databricks data engineer?

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 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.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Milpitas, CA?

The most popular types of Databricks Data Engineer jobs in Milpitas, CA are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Milpitas, CA?

For Contract Databricks Data Engineer jobs in Milpitas, CA, the most frequently searched job titles are:

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The top searched job categories for Contract Databricks Data Engineer jobs in Milpitas, CA are:

What cities near Milpitas, CA are hiring for Contract Databricks Data Engineer jobs?

Cities near Milpitas, CA with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you

Data Engineer

Qualitest Group

Santa Clara, CA • On-site

$110K - $120K/yr

Full-time

Medical, Retirement, PTO

Posted 10 days ago

Job description

Are you interested in working with the World's leading AI-powered Quality Engineering Company? Ready to advance your career, team up with global thought leaders across industries and make a difference every day? Join us at QualityAI!
We are looking for a Data Engineer to join our growing team in United States
Location - US (remote)
Top 3 Must Haves:
1. Experience building end-to-end data pipelines (batch/streaming, orchestration, monitoring)
2. Practical exposure to modern cloud data platforms (Databricks, Snowflake)
3. Strong hands-on PySpark with Spark performance tuning (joins, partitioning, caching, optimization)
Job Description:
-Strong hands-on experience in Python and PySpark, with a solid understanding of Spark concepts, performance tuning, and scalable data processing.
-Experience working with modern data management platforms such as Snowflake, Databricks, or similar cloud-based data platforms.
-Good understanding of data pipeline design, development, orchestration, and monitoring, including batch and streaming data processing.
-Familiarity with Medallion Architecture concepts, including bronze, silver, and gold layer design and best practices for data transformation.
-Strong understanding of autoscaling, cluster optimization, and cost-efficient data processing in cloud or distributed data environments.
-Experience with CI/CD, DevOps practices, and version control, with preference for candidates who have exposure to Terraform or infrastructure-as-code tools.
-Ability to collaborate with business, analytics, and engineering teams to design reliable, reusable, and scalable data solutions.
Benefits
Why QualityAI?
  • Be a part of a company who strives to support for diversity and inclusion in the workplace - we are one, we are many at QualityAI. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. We have more than 40% women and around 120 different nationalities.
  • Local and global opportunities - we offer you internal rotation and international mobility opportunities to grow your career.
  • Clear view of your career and progression with the company - QualityAI is growing massively (since 2021 - tripled our employees base - we now have more than 8,000 engineers) and giving you the opportunity to grow with us.
  • Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers. Save your earnings and prepare for your future by enrolling in our 401k plan where QualityAI will match your contributions accelerating your savings plan.
  • Take care of health with enrollment into one of our competitive healthcare benefits. QualityAI will match towards your HSA if you choose to participate.
  • Never stop experimenting and learning with QCraft - our Learning & Development platform: 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications, and much more.
  • Earn bonuses via our Client Referral and Employee Referral Program's. Refer and earn - tap your network for net-worth.
  • We recognize our employees work via our Qudos platform - You can earn bonuses and spot awards by celebrating your and your peers' achievements.
  • Planning a vacation? Looking for car insurance? Get access to QualityAI Employee Perks for discounts on anything from travel to electronics. With so many offerings the savings are endless!
  • A Competitive pay, the salary range for the role is $110,000 - $120,000.
  • Intrigued to find more about us?
  • Visit our website at https://www.quality-ai.com/
  • If you like what you have read, send us your resume and let's start talking!

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