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Contract Databricks Data Engineer Jobs in Milpitas, CA

Doist

Databricks Engineer

Milpitas, CA · On-site

$120 - $180/hr

Integrate data from various sources including relational databases, APIs, cloud storage, and streaming platforms. * Optimize Spark jobs for performance, scalability, and cost efficiency.

iLink Digital

Databricks Engineer

Milpitas, CA · On-site

Databricks Engineer Experience 4-8 years Location As per business requirement Employment Type ... Integrate data from various sources including relational databases, APIs, cloud storage, and ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Databricks is looking for a Principal Data Scientist to serve as the statistical voice of the Data ... Partner with engineering VPs, product leaders, and executive staff to embed a data-driven decision ...

Perficientcorp Inc

Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks, including building and optimizing large-scale data pipelines. Strong understanding of data architecture fundamentals such ...

Glow Networks

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Job Role: Data Engineer Location: Mountain View, CA (Hybrid 3days onsite, 2 days remote ... Leverage advanced tools like Databricks for big data processing, ensuring the data is accessible ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

Robert Half

Data Engineer III

San Ramon, CA · On-site +1

$128K - $153K/yr

Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming) * Define technical approach for data engineering ...

Inficare Technologies

Snowflake Data Engineer

Santa Clara, CA · On-site

$134K - $161K/yr

Proven hands-on expertise in data engineering with Snowflake and Databricks , including building and optimizing large-scale data pipelines. * Strong understanding of data architecture fundamentals ...

BC Forward

Data Engineer (AVANADE)

Pleasanton, CA · On-site

$50 - $58.82/hr

Contract - 8 months Pay Range: $50/hr - $58.82/hr (W2) Job ID: 408367 About BCforward BCforward is ... The ideal candidate will have strong experience in Databricks, PySpark, Python, Spark SQL, and ...

BayRock Labs

Principal Data Engineer

Milpitas, CA · On-site

They are seeking a highly skilled Senior Data Engineer / Data Architect with extensive experience in Azure and Databricks to build large-scale data platforms and deliver high-quality data products in ...

Bayrock Labs

Principal Data Engineer

Milpitas, CA · On-site

$80 - $85/hr

As a leading product engineering firm based in Silicon Valley, we provide full-cycle product ... CI/CD for Databricks workloads Big Data & Processing Frameworks * Apache Spark with advanced ...

Rays Techsolutions Inc.

Senior Data Engineer

San Jose, CA · On-site

$124K - $168K/yr

Senior Data Engineer Location: San Jose, California, United States Experience: 8 10 Years Job ... Strong hands-on experience with Databricks , AWS , PySpark , Python , SQL , and Apache Airflow

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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:

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

Databricks Engineer

Doist

Milpitas, CA • On-site

$120 - $180/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role

Databricks Engineer

Experience

4–8 years

Location

As per business requirement

Employment Type

Full-time

Job Summary

We are looking for a skilled Databricks Engineer with strong expertise in designing, developing, and optimizing modern data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have experience building scalable ETL/ELT pipelines, working with large-scale data, and leveraging Apache Spark to deliver high-performance data solutions.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Databricks.
  • Build ETL/ELT workflows for batch and streaming data processing.
  • Develop solutions using PySpark, Spark SQL, and Delta Lake.
  • Implement Medallion Architecture (Bronze, Silver, Gold) for data transformation.
  • Integrate data from various sources including relational databases, APIs, cloud storage, and streaming platforms.
  • Optimize Spark jobs for performance, scalability, and cost efficiency.
  • Collaborate with Data Architects, Data Scientists, BI developers, and business stakeholders.
  • Implement CI/CD pipelines and deployment automation for Databricks workloads.
  • Ensure data quality, security, governance, and compliance.
  • Monitor, troubleshoot, and optimize production data pipelines.
  • Document technical solutions and follow engineering best practices.
Required Skills
  • Core Technologies Databricks Lakehouse Platform Apache Spark PySpark Spark SQL Delta Lake
  • Python
  • SQL
  • Cloud Platforms (one or more) Microsoft Azure (preferred) AWS Google Cloud Platform
  • Azure Technologies (Preferred) Azure Data Factory (ADF) Azure Data Lake Storage (ADLS Gen2) Azure Synapse Analytics Azure Key Vault Azure DevOps
  • Data Engineering
  • Data Warehousing
  • Data Modeling
  • ETL/ELT Development
  • Batch Processing
  • Streaming (Kafka/Event Hubs)
  • Data Lake Architecture
  • DevOps & Version Control
  • Git
  • Azure DevOps / GitHub CI/CD Pipelines
Preferred Qualifications
  • Experience with Unity Catalog.
  • Knowledge of Databricks Workflows and Jobs.
  • Hands-on experience with Delta Live Tables (DLT).
  • Exposure to MLflow is an added advantage.
  • Experience with data governance and security best practices.
  • Familiarity with Infrastructure as Code (Terraform) is a plus.
Educational Qualification

Bachelor\'s or Master\'s degree in Computer Science, Information Technology, Engineering, or a related field.

Preferred Certifications
  • Databricks Certified Data Engineer Associate
  • Databricks Certified Data Engineer Professional
  • Microsoft Certified: Azure Data Engineer Associate (DP-203)
  • Azure Fundamentals (AZ-900)
Nice to Have
  • Experience with real-time analytics.
  • Knowledge of Lakehouse architecture.
  • Experience with Agile/Scrum methodologies.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
Mandatory Skills
  • Databricks
  • PySpark
  • Spark SQL
  • Delta Lake
  • Python
  • SQL
  • Azure/AWS/GCP (at least one cloud platform)
  • ETL/ELT Development
  • Data Lake Architecture
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