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Manager Databricks Data Engineer Jobs in California

Pwc

Data Engineer - Senior Manager

San Diego, CA

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Pwc

Data Engineer - Senior Manager

Sacramento, CA · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Pwc

Data Engineer - Senior Manager

Los Angeles, CA · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Pwc

Data Engineer - Manager

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... and managing data warehouses and data lakes, verifying data is organized and accessible ...

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Manager Databricks Data Engineer information

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

What are the most commonly searched types of Databricks Data Engineer jobs in California?

The most popular types of Databricks Data Engineer jobs in California are:

What are popular job titles related to Manager Databricks Data Engineer jobs in California?

For Manager Databricks Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Databricks Data Engineer jobs in California look for?

The top searched job categories for Manager Databricks Data Engineer jobs in California are:

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Cities in California with the most Manager Databricks Data Engineer job openings:

Manager Databricks Data Engineer jobs near you

Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python)

Qualcomm

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Re-posted 3 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies

Job description

Company:
Qualcomm Incorporated
Job Area:
Information Technology Group, Information Technology Group > IT Software Developer
General Summary:
The Staff Data Engineer / Full-Stack Data Developer is a senior, hands-on individual contributor responsible for designing, building, optimizing, and operating data pipelines, curated data products, and Databricks-native data applications on a modern cloud Lakehouse platform. This role is critical to enabling enterprise analytics, BI, AI/ML, and data-driven applications, with deep expertise in Databricks, Python, Spark, and Databricks application development.
This position requires strong end-to-end ownership of data engineering and data app solutions, production-grade engineering rigor, and the ability to collaborate across platform, analytics, and application teams.
This role requires full-time onsite work in San Diego, CA (5 days per week).
Minimum Qualifications:
• 5+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field.
OR
7+ years of IT-related work experience without a Bachelor's degree.
• 3+ years of work experience with programming (e.g., Java, Python).
• 3+ years of work experience with SQL or NoSQL Databases.
• 3+ years of work experience with Data Structures and algorithms.
Key Responsibilities
Data Engineering & Development
  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Python to support enterprise analytics, AI, and application use cases.
  • Build and manage curated data layers following Lakehouse Medallion architecture best practices (Bronze / Silver / Gold).
  • Develop reusable, modular data transformation frameworks to accelerate delivery across domains.

Databricks Application Development
  • Design and develop Databricks-native data applications, including notebook-based apps, Databricks dashboards, and interactive data experiences for analytics and business users.
  • Build data APIs, parameterized pipelines, and app-integrated data services leveraging Databricks and Lakehouse capabilities.
  • Partner with analytics, AI, and application teams to embed data and insights directly into workflows and applications.
  • Ensure Databricks apps meet performance, security, governance, and usability standards.

Performance, Scalability & Reliability
  • Optimize Apache Spark jobs and Databricks workloads for performance, cost efficiency, scalability, and reliability.
  • Proactively address challenges related to data volume, schema evolution, and compute optimization.
  • Implement robust data quality checks, validations, and anomaly detection within pipelines and apps.

Production Support & Operations
  • Own and support production data pipelines and Databricks applications, including monitoring, troubleshooting, and root-cause analysis.
  • Ensure high availability, data correctness, and SLA adherence for business-critical datasets and apps.
  • Contribute to observability, alerting, and operational automation.

Full-Stack Data Enablement
  • Collaborate with BI, analytics, AI/ML, platform, and application teams to deliver end-to-end data solutions.
  • Enable data consumption across dashboards, reports, Databricks apps, AI models, APIs, and downstream applications.
  • Translate business and analytical requirements into well-designed data pipelines and data applications.

Engineering Excellence & Technical Influence
  • Act as a technical leader and mentor, defining best practices for data engineering and Databricks app development.
  • Participate in architecture reviews, design discussions, and technical roadmaps.
  • Continuously evaluate and adopt modern Databricks features, GenAI capabilities, and automation patterns to improve developer productivity.

Required Skills & Experience
  • 5+ years of hands-on data engineering experience, owning production-grade pipelines and data solutions.
  • Strong proficiency in Python and Apache Spark (PySpark).
  • Proven hands-on experience working with Databricks in production, including Databricks application development.
  • Strong SQL and data transformation skills.
  • Experience building and supporting Databricks notebooks, dashboards, and data-driven applications.
  • Experience operating and supporting data pipelines and data apps in production environments.
  • Solid understanding of data quality, reliability, security, and governance.

Preferred / Nice-to-Have Qualifications
  • Experience with AWS cloud services (e.g., S3, IAM, EC2, Glue, or equivalent).
  • Exposure to Unity Catalog, access controls, metadata management, and governed data sharing.
  • Experience with streaming data pipelines (e.g., Structured Streaming, Kafka).
  • Familiarity with CI/CD, Git-based workflows, and Data/Analytics DevOps.
  • Experience enabling BI, AI/ML, or application-embedded analytics using Databricks.

What Defines Success at the Staff Level
  • Owns complex data pipelines and Databricks applications end-to-end with minimal oversight.
  • Drives improvements in performance, reliability, cost efficiency, and usability across data and app layers.
  • Influences architecture, standards, and best practices beyond immediate assignments.
  • Serves as a trusted technical partner to analytics, AI, platform, and application teams.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$128,100.00 - $192,100.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.

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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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