ZipRecruiter

Log In

1

Databricks Data Engineer Jobs in Milpitas, CA (NOW HIRING)

NMK Global Inc.

Data Engineer

Santa Clara, CA · On-site

$133K - $160K/yr

Databricks, Delta Lake, Data Lake/Lakehouse * LLMs, RAG, AI-based data exploration, NL-to-SQL * Feature engineering, anomaly detection, predictive analytics, recommendation systems * Engineering ...

Databricks

Sr. Product Designer, AI/BI

Mountain View, CA · On-site

$144K - $199K/yr

Experience designing products in the Cloud, Developer Experience, AI, or Big Data space is a nice-to-have. * Coding React, SQL, CSS, and/or Python is a nice-to-have. Pay Range Transparency Databricks ...

Vertex Sigma Software

Data Engineer

Foster City, CA · On-site

$133K - $160K/yr

Experience with large datasets and distributed data processing frameworks (e.g., Spark, Databricks). Strong data engineering skills, including data wrangling and expertise in building maintainable ...

previous page

Showing results 41-60

All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Milpitas, CA

Databricks Data Engineer information

See Milpitas, CA salary details

$51.9K

$151.2K

$206.9K

How much do databricks data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for 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 Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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 Databricks Data Engineer jobs in Milpitas, CA?

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

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

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

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

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

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in Milpitas, CA as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $151,168 per year, or $72.7 per hour.

Data Engineer

NMK Global Inc.

Santa Clara, CA • On-site

$133K - $160K/yr

Other

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

Job description

NMK Global Inc. is a global IT Services & Solutions company specializing in IT Staffing, Technology Consulting, Workforce Solutions, and Application Development Services. We help organizations build high-performing technology teams by connecting them with exceptional talent across a wide range of industries. Our expertise, industry knowledge, and consultative approach enable clients to achieve successful business outcomes while helping professionals advance their careers. 

Job Title: Data Engineer
Location: Santa Clara, CA – 100% Onsite, 5 Days/Week
Job Description:

Required Skills:

  • Strong SQL – Window Functions, CTEs, Complex Joins, Aggregations, Query Optimization
  • Strong Python / data-intensive software development
  • Data modeling, analytics datasets, data products, or application data layers
  • Production data pipelines, data platforms, or analytics systems
  • Data quality, validation, lineage, table grain, and metric definitions
  • Ability to identify technically valid but semantically incorrect data
  • Strong cross-functional collaboration with engineering, product/UI, domain experts, and data teams
  • Interest/experience in AI/ML and data-driven analytics
  • Bachelor's/Master's in CS, Computer Engineering, Electrical Engineering, or equivalent
  • 8+ years of relevant experience

Preferred Skills:

  • Semiconductor, manufacturing, yield, test, quality, reliability, or hardware engineering data
  • AWS S3, Athena, Glue, Redshift, EMR, Spark
  • Databricks, Delta Lake, Data Lake/Lakehouse
  • LLMs, RAG, AI-based data exploration, NL-to-SQL
  • Feature engineering, anomaly detection, predictive analytics, recommendation systems
  • Engineering analytics platforms and internal data products

NMK Global Inc. is an Equal Opportunity Employer. We are committed to creating an inclusive workplace and consider all qualified applicants without regard to age, race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable law. 

Apply