2 months ago
Base Salary
$101k - $160k/yr
Responsibilities
- Build and maintain scalable data infrastructure and reliable, well-tested ETL and data pipelines.
- Design pipelines supporting BI, feature generation, embeddings, GenAI workloads, and RAG data ingestion.
- Apply data quality practices including validation, deduplication, PII handling, monitoring, and drift detection.
- Manage and optimize AWS cloud computing resources for data infrastructure.
- Write and optimize SQL and Python-based transformations for large-scale datasets.
- Collaborate with BI engineers, data scientists, applied scientists, and analytics teams on data availability, reporting, testing, documentation, and governance.
- Contribute to architecture and technology decisions, proofs of concept, and maintainable long-term designs.
- Use AI-assisted development tools to accelerate development and debugging while validating correctness.
Requirements
- At least 2 years of data engineering experience.
- Experience with data modeling, data warehousing, and building ETL pipelines.
- Experience writing and optimizing SQL queries against large-scale, complex datasets.
- Experience with one or more scripting languages, such as Python or KornShell.
- Bachelor's degree in Computer Science, Computer Engineering, Information Management, Information Systems, or a related discipline.
- Preferred experience with Hadoop, Hive, Spark, or EMR.
- Preferred experience using AI-assisted development tools in academic or professional settings.
- Preferred experience with RAG/LLM data integration and prompt engineering fundamentals.
- A master's degree in a relevant discipline is preferred.
Benefits
- Comprehensive health insurance including medical, dental, vision, prescription, life, AD&D, and supplemental life options.
- 401(k) matching, paid time off, and parental leave.
- Employee assistance, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- Additional compensation may include sign-on payments and restricted stock units; the position is based in Austin, Texas.
Tech Stack
Categories
Data Engineering
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.