$128,100 - $192,100 USD yearly
Originally posted 13 May 2026 by the employer.
About the role
The Staff Data Engineer / Full‑Stack Data Developer designs, builds, optimizes, and operates data pipelines, curated data products, and Databricks‑native data applications on a cloud Lakehouse platform. The role focuses on enabling enterprise analytics, BI, AI/ML, and data‑driven applications with Databricks, Python, and PySpark.
What you'll do
- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Python. - Build and manage curated data layers following Lakehouse Medallion architecture best practices across Bronze, Silver, and Gold tiers. - Design and develop Databricks-native data applications, including notebook-based apps, Databricks dashboards, and interactive data experiences. - Build data APIs, parameterized pipelines, and app-integrated data services leveraging Databricks and Lakehouse capabilities. - Optimize Apache Spark jobs and Databricks workloads for performance, cost efficiency, scalability, and reliability. - Own and support production data pipelines and Databricks applications, including monitoring, troubleshooting, and root-cause analysis.
What you'll need
- Bachelor's degree in Computer Engineering, Computer Science, Information Systems, or a related field with 5+ years of IT-related work experience (or 7+ years of IT-related work experience without a Bachelor's degree). - 5+ years of hands-on data engineering experience owning production-grade pipelines and data solutions. - Strong proficiency in Python and Apache Spark (PySpark), along with strong SQL and data transformation skills. - Hands-on experience working with Databricks in production, including Databricks application development, notebooks, and dashboards. - Experience operating, monitoring, and supporting data pipelines and data apps in production environments. - 3+ years of experience with data structures, algorithms, and SQL or NoSQL databases.
Nice to have
- Experience with AWS cloud services such as S3, IAM, EC2, or Glue. - Exposure to Unity Catalog, access controls, metadata management, and governed data sharing. - Experience with streaming data pipelines such as Structured Streaming or Kafka. - Familiarity with CI/CD, Git-based workflows, and Data/Analytics DevOps. - Experience enabling BI, AI/ML, or application-embedded analytics using Databricks.
Skills: data engineering, ETL/ELT pipelines, Databricks, PySpark, Python, Lakehouse Medallion architecture
This role has been open 200 days — well above the 53-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
1004
|
Median days open
53 d
|
Median salary
$224k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (1004 roles · 89 employers) |
|---|---|---|
| Open roles in this specialty | 65 | 1004 |
| Open roles in the wider Software, Firmware & Systems family | 735 | 6250 · 144 employers |
| Median days open | 52 d | 53 d (−1 d vs this employer) |
| Median salary (USD postings) | — | $224k |
Skills observed across this category: data engineering, ETL/ELT pipelines, Databricks, PySpark, Python, Lakehouse Medallion architecture
Who's hiring in this category
- NVIDIA · 286 open roles · median 52 d
- Qualcomm (this employer) · 65 open roles · median 52 d
- AMD · 57 open roles · median 26 d
- Graphcore · 50 open roles · median 100 d
- Intel Corporation · 48 open roles · median 14 d
- Cerebras · 35 open roles · median 90 d
How we counted: 1004 open Infrastructure/Platform Software (Infrastructure Platform) roles from 89 employers tracked in the SemiconductorJobs index, counted 25 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.
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