Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
San Diego, CA, US
Open 5 months, first seen by us 176 days agoPay range and Other Compensation & Benefits: $161,600.00 - $242,400.00 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.Read the full posting
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
**This position is not eligible for Qualcomm immigration sponsorship.**
Design and build scalable, distributed data platform systems
Own Databricks workspace architecture, governance, and lifecycle management
Build and support end-to-end data pipelines from ingestion to analytics and ML
Implement infrastructure as code using Terraform/Terramate
Lead incident response, on-call rotations, and blameless post-mortems
Design and build scalable, distributed data platform systems
Own Databricks workspace architecture, governance, and lifecycle management
Build and support end‑to‑end data pipelines, from ingestion to analytics and ML
Implement infrastructure as code using Terraform/Terramate
Lead incident response, on‑call rotations, and blameless post‑mortems
7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field. OR 9+ years of IT-related work experience without a Bachelor’s degree.
5+ 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.
Minimum Qualifications: • 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field. OR 9+ years of IT-related work experience without a Bachelor’s degree. • 5+ 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.
Open 5 monthsWe first saw this posting 176 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 176
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,782 similar postings that came down. Coming down is not always a hire.
57 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Infrastructure, Automation & Reliability * Deep experience with Terraform/Terramate (or similar IaC tools) * Proven experience building CI/CD pipelines (GitHub Actions, Jenkins) * Advanced Python and Bash scripting skills * Hands‑on experience managing Amazon EKS clusters and Helm deployments * Experience defining and operating SLIs/SLOs for platform reliability and data quality Security & Leadership
• 7+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field. OR 9+ years of IT-related work experience without a Bachelor’s degree. • 5+ 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. What You’ll Do
What You’ll Do * Design and build scalable, distributed data platform systems * Own Databricks workspace architecture, governance, and lifecycle management * Implement infrastructure as code using Terraform/Terramate * Build and support end‑to‑end data pipelines, from ingestion to analytics and ML * Develop and maintain CI/CD pipelines for infrastructure, data pipelines, notebooks, SQL, and ML artifacts * Operate and optimize Amazon EKS clusters supporting data workloads * Define and monitor SLIs/SLOs for platform reliability and data quality * Drive innovation and continuous improvement across platform architecture and tooling * Lead incident response, on‑call rotations, and blameless post‑mortems * Implement strong security, compliance, and governance controls * Mentor engineers and influence platform standards and best practices Must‑Have Qualifications
Cloud & Data Platform Expertise * 8+ years building and operating large‑scale cloud platforms * 5+ years in Data Platform, DevOps, SRE, or DataOps roles * Expert‑level experience with AWS, including networking, IAM, security, and multi‑account environments * Strong hands‑on experience with Databricks Lakehouse Platform, including: * Unity Catalog * Delta Lake * MLflow * Experience owning Databricks workspace architecture and governance Infrastructure, Automation & Reliability
Security & Leadership * Strong understanding of cloud security best practices * Experience supporting SOX, GDPR, or regulated environments * AWS Certified DevOps Engineer – Professional (or equivalent experience) * Ability to work independently and mentor team members * Strong communication skills to explain complex system designs to technical and non‑technical stakeholders Nice‑to‑Have
General Summary: We are hiring a Data Platform Engineer to design, build, and operate a modern, data platform with Databricks Lakehouse as a core foundation. This role is ideal for a senior engineer who excels in system design, platform innovation, and hands‑on execution. You will help design, implement and improve reliability of the data platform, influence architectural direction, and mentor engineers while working closely with data scientists, analysts, and application teams.
Nice‑to‑Have * Experience with Acceldata, OpenTelemetry, or data observability tools * Experience with Fivetran Hybrid / HVR or enterprise ingestion tools * Experience working with Hashicorp vault or similar secret management tools * Policy‑as‑code experience using OPA * Experience working with static Code analysis tool like Sonar * Experience with data lineage or metadata management tools * Databricks serverless compute optimization and cost management * Experience driving platform strategy across multiple teams distributed globally 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).
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay range and Other Compensation & Benefits: $161,600.00 - $242,400.00 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.
San Diego, CA, US
This passage needs a closer read in the full description.
This role requires full-time onsite work (5 days per week) in either San Diego, CA or Boulder, CO. **This position is not eligible for Qualcomm immigration sponsorship.** Minimum Qualifications: