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Contract Databricks Data Engineer Jobs in Milpitas, CA

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for ... Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks)

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for ... Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks)

Dlapiper

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Vertex Sigma Software

Data Engineer

Foster City, CA

$133K - $160K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for ... Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks)

TEKsystems

Cloud Data Architect

San Jose, CA

$60 - $80/hr

... Contract | $60-$80/hr (W2 or C2C) Azure Data Architect | Databricks | Spark/PySpark | Python ... Partner with engineering and business stakeholders to align architectural decisions with ...

Align Technology, Inc.

Sr. Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

This position is ideal for senior-level data engineering professionals to join the Product ... Architect, develop, and maintain scalable data pipelines and ETL/ELT processes using Databricks ...

Cypress HCM

Data Engineer 3

San Jose, CA · Hybrid

$65.49/hr

Data Engineer 3 (Contract) * Location: San Jose, CA 95110 (Hybrid) * Duration: 12/08/2025 to 12/08 ... Strong Python, SQL/PLSQL skills and big data technologies like Azure Databricks with enterprise ...

Databricks

Sr Software Engineer- CXI

Mountain View, CA · On-site

$164K - $225K/yr

P-1640 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 ...

Databricks

Principal Engineer - Privacy

Mountain View, CA · On-site

$278K - $339K/yr

P-1125 Summary At Databricks, we are obsessed with enabling data teams to solve the world ... Our engineering teams build highly technical products that fulfill real, important needs in the ...

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Showing results 21-40

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:

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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:

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

Contract Databricks Data Engineer jobs near you

Staff Data Scientist - Infrastructure

Databricks

Mountain View, CA • On-site

$192K - $260K/yr

Full-time

Re-posted 6 days ago

Job description

P-57
At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.
Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is critical to making customers successful on our platform.
We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.
As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. The Data team also functions as an in-house, production "customer" that dog foods Databricks and drives the future direction of the products.
The impact you will have:
  • "Analysis at the speed of thought": Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists.
  • "Extend capabilities of Databricks": Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product
  • "Strategic business insights": Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency).
  • Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences.
  • Mentor and guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
  • Represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.
  • Represent Databricks at academic and industrial conferences & events.

What we look for:
  • 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
  • Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems.
  • Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations.
  • Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions.
  • Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling.
  • Strong coding skills in Python and SQL
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.
  • M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$192,000-$260,000 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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