Staff Data Engineer - TX, Austin, United States
Originally posted 22 October 2026 by the employer.
About the role
AMD is seeking a Staff Data Engineer within the Marketing Analytics team to build and operationalize the data foundation supporting advanced analytics, data science, and machine learning across Marketing. The position leads hands-on engineering of scalable data pipelines, canonical data models, and reusable datasets within Snowflake or Databricks environments.
What you'll do
- Build and operate scalable marketing data pipelines, transforming internal and external data into analysis-ready and machine-learning-ready datasets in Snowflake, Databricks, or comparable cloud platforms. - Develop reusable API integrations and ingestion frameworks across CRM, marketing automation, digital analytics, media, and event data with controls for incremental updates and schema evolution. - Design and maintain canonical datasets and shared data models establishing consistent definitions, identifiers, and historical views across accounts, contacts, leads, and campaigns. - Engineer datasets for machine learning and data science, developing features, labels, and point-in-time correct training, validation, testing, and inference datasets. - Lead hands-on engineering delivery and continuous improvement by reviewing technical designs and code, mentoring engineers, and implementing automated testing and release management. - Establish data quality, observability, and operational reliability through automated validation, pipeline monitoring, freshness checks, and compute efficiency improvements.
What you'll need
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field. - Experience in data engineering, analytics engineering, or data platform development, including experience leading technical projects or engineering teams. - Hands-on proficiency in SQL and Python for developing production-grade data pipelines, transformations, and reusable engineering components. - Hands-on experience with Snowflake, Databricks, or comparable cloud data platforms, including data modeling and workload optimization. - Experience building API-based data integrations handling authentication, pagination, rate limits, incremental extraction, retry logic, and schema evolution. - Experience preparing data for machine learning workflows, including feature engineering pipelines, label generation, and point-in-time-correct datasets.
Nice to have
- Master’s degree or equivalent advanced experience. - Experience with Spark or PySpark. - Familiarity with feature stores and dataset versioning. - Familiarity with MLOps and tools such as dbt or Airflow. - Understanding of marketing and sales data ecosystems (CRM, marketing automation, paid media, digital analytics).
This role has been open 0 days — well below the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
1020
|
Median days open
50 d
|
Median salary
$230k
|
See the full market breakdown ▾Category comparison, and who else is hiring
| Metric | AMD | All employers we track in this specialty (1020 roles · 89 employers) |
|---|---|---|
| Open roles in this specialty | 58 | 1020 |
| Open roles in the wider Software, Firmware & Systems family | 400 | 6298 · 145 employers |
| Median days open | 24 d | 50 d (−26 d vs this employer) |
| Median salary (USD postings) | — | $230k |
Who's hiring in this category
- NVIDIA · 293 open roles · median 48 d
- Qualcomm · 65 open roles · median 49 d
- AMD (this employer) · 58 open roles · median 23 d
- Graphcore · 50 open roles · median 97 d
- Intel Corporation · 48 open roles · median 13 d
- Cerebras · 36 open roles · median 87 d
How we counted: 1020 open Infrastructure/Platform Software (Infrastructure Platform) roles from 89 employers tracked in the SemiconductorJobs index, counted 22 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.