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Contract Databricks Data Engineer Jobs in Mountain View, CA

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 ...

Pwc

Data Engineer - Senior Manager

San Francisco, CA · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

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 ...

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Mountain View, CA

Contract Databricks Data Engineer information

See Mountain View, CA salary details

$52.5K

$153K

$209.4K

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

As of Sep 5, 2026, the average yearly pay for contract databricks data engineer in Mountain View, CA is $153,024.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,100.00 and $162,200.00 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 Mountain View, CA?

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

What job categories do people searching Contract Databricks Data Engineer jobs in Mountain View, CA look for?

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

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

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

Contract Databricks Data Engineer jobs near you
Infographic showing various Contract Databricks Data Engineer job openings in Mountain View, CA as of July 2026, with employment types broken down into 1% As Needed, 64% Full Time, 20% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $153,024 per year, or $73.6 per hour.

Data Architect - Databricks

Veracity Software Pvt. Ltd.

Santa Clara, CA • On-site

$74.75 - $96.25/hr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Veracity Software Pvt. Ltd. is seeking a visionary Data Architect with expertise in Databricks to lead the design and implementation of enterprise data architecture. The role involves shaping scalable data solutions that empower analytics and business intelligence across the organization.
Responsibilities:
• Design and implement robust, scalable, and secure data architectures using Databricks, Spark, Delta Lake, and cloud-native tools.
• Collaborate with data engineers, analysts, and business stakeholders to define data models, pipelines, and governance strategies.
• Develop and maintain data lakehouses, ensuring optimal performance and cost-efficiency.
• Define best practices for data ingestion, transformation, and storage using Databricks notebooks, jobs, and workflows.
• Architect solutions for real-time and batch data processing.
• Ensure data quality, lineage, and compliance with internal and external standards.
• Lead migration efforts from legacy systems to modern cloud-based data platforms.
• Mentor junior team members and evangelize data architecture principles across the organization.
Qualifications:
Required:
• 12+ years of experience in data architecture, with 5+ years hands-on in Databricks.
• Strong Experience in Snowflake
• Experience in cloud platforms AWS, especially AWS Databricks.
• Strong proficiency in Apache Spark, Delta Lake, and PySpark.
• Experience with data modeling, ETL/ELT pipelines, and data warehousing.
• Familiarity with CI/CD, DevOps, and Infrastructure as Code (Terraform, ARM templates).
• Knowledge of data governance, security, and compliance frameworks.
• Excellent communication and stakeholder management skills.
Preferred:
• Databricks Certified Data Engineer or Architect.
• Experience with MLflow, Unity Catalog, and Lakehouse architecture.
• Background in machine learning, AI, or advanced analytics.
• Experience with tools like Apache Airflow, dbt, or Power BI/Tableau.
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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