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Full Time Databricks Developer Jobs in Poway, CA

Qualcomm

Data Platform Engineer, Senior Staff

San Diego, CA · On-site

$112K - $152K/yr

This role requires full-time onsite work (5 days per week) in either San Diego, CA or Boulder, CO ... Own Databricks workspace architecture, governance, and lifecycle management * Implement ...

Qualcomm

IT Technical Lead

San Diego, CA · On-site

This role requires full-time onsite work in San Diego, CA (5 days per week). Minimum Qualifications ... Ensure Databricks apps meet performance, security, governance, and usability standards

Qualcomm

Data Engineer, Staff

San Diego, CA · On-site

$121K - $146K/yr

... developer productivity, and intelligent automation. This is a hands-on role with meaningful ... This role requires full-time onsite work in San Diego, CA (5 days per week). **This position is not ...

Qualcomm

Data Engineer, Senior Staff

San Diego, CA · On-site

$121K - $146K/yr

... developer productivity, and intelligent automation. This is a hands-on role with meaningful ... This role is full-time onsite (5 days per week) and can be based in San Diego, CA or Boulder, CO.

CoStar Group

Senior Data Engineer

San Diego, CA · On-site

$124K - $190K/yr

Build and manage data solutions using Databricks and Spark * Develop backend data services using C# ... Knowledge of CI/CD and DevOps practices What's in it for you? When you join CoStar Group, you'll ...

CoStar Group

Senior Data Engineer

San Diego, CA

$124K - $190K/yr

Build and manage data solutions using Databricks and Spark * Develop backend data services using C# ... Knowledge of CI/CD and DevOps practices What'sin it for you? When you join CoStar Group,you ...

Booz Allen Hamilton

Data Engineer

San Diego, CA

$62K - $141K/yr

... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Data Engineer

San Diego, CA

$61K - $141K/yr

... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

... SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

IT Labs

Lead Data Engineer

San Diego, CA · Remote

$117K - $140K/yr

Experience with Databricks, including: * Delta Lake * Unity Catalog * Spark-based pipelines ... Working Conditions * Full-time, 40h/week * US-based -- US citizenship is required * Remote

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All JobsFull Time Databricks Developer JobsFull Time Databricks Developer Jobs in Poway, CA

Full Time Databricks Developer information

See Poway, CA salary details

$21

$62

$81

How much do full time databricks developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for full time databricks developer in Poway, CA is $62.90, according to ZipRecruiter salary data. Most workers in this role earn between $56.54 and $69.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Databricks Developer, and why are they important?

To thrive as a Full Time Databricks Developer, you need expertise in data engineering, Spark programming, and proficiency in languages like Python or Scala, often backed by a degree in computer science or related fields. Familiarity with Databricks platform, Azure or AWS cloud services, and certifications such as Databricks Certified Data Engineer are commonly expected. Strong problem-solving abilities, attention to detail, and effective collaboration skills help you stand out in this role. These skills ensure efficient data processing, reliable pipeline development, and seamless teamwork for delivering scalable analytics solutions.

What is the difference between Full Time Databricks Developer vs Data Engineer?

AspectFull Time Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformBuilding, maintaining, and optimizing data infrastructure and pipelines across various platforms
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data architecture
Work EnvironmentCollaborates closely with data scientists and analysts within cloud-based environmentsWorks with data infrastructure teams, cloud services, and data storage systems

While both roles require expertise in Spark, SQL, and cloud platforms, a Full Time Databricks Developer primarily focuses on developing data solutions within the Databricks environment, whereas a Data Engineer has a broader scope, managing overall data infrastructure and pipelines across multiple platforms.

What are the typical collaboration expectations for a Full Time Databricks Developer within a data engineering team?

As a Full Time Databricks Developer, you’ll frequently collaborate with data engineers, data scientists, and business analysts to design, build, and optimize data pipelines and workflows. Expect to participate in agile ceremonies, code reviews, and cross-functional meetings to ensure alignment on project goals and data requirements. Communication is key, as you’ll often translate technical concepts for non-technical stakeholders and work together to resolve data quality, performance, or integration challenges. This collaborative environment not only fosters innovation but also provides opportunities to broaden your skills and contribute to impactful business solutions.

What are Full Time Databricks Developers?

Full Time Databricks Developers are professionals who specialize in using the Databricks platform to process, analyze, and manage big data. They build and maintain data pipelines, develop ETL processes, and work with tools such as Apache Spark, Python, and SQL to turn raw data into actionable insights. These developers often collaborate with data scientists, engineers, and business stakeholders to implement scalable data solutions. Working full time means they are dedicated employees, typically with responsibilities that include troubleshooting data issues, optimizing performance, and ensuring data security within the Databricks environment.
Full Time Databricks Developer jobs near you
Infographic showing various Full Time Databricks Developer job openings in Poway, CA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $130,838 per year, or $62.9 per hour.
Staff Data Engineer / Full‑Stack Data Developer (Databricks / Python)

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

Qualcomm

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Posted 12 days ago

Qualcomm rating

9.6

Company rating: 9.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 192 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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