28 days ago
Bellevue, WA, USAMid Level
H1B sponsor
Base Salary
$101k - $160k/yr
Responsibilities
- Build and maintain reliable, scalable ETL/ELT pipelines using SQL, Python, and Spark.
- Extract, transform, and load data from diverse warehouse automation and customer packaging sources.
- Implement data models, warehousing practices, Redshift data structures, and source-of-truth data stores.
- Develop performant batch and real-time data processing solutions.
- Apply data quality practices including validation, deduplication, PII handling, drift detection, and monitoring.
- Build data security and access controls into data infrastructure.
- Model data and metadata for ad-hoc, pre-built, and customer reporting.
- Manage and optimize AWS cloud computing resources supporting data infrastructure.
- Use AI-assisted development tools such as Amazon Q and Kiro while validating generated output.
- Create maintainable data infrastructure that supports future machine learning and GenAI use cases.
- Participate in strategic and tactical planning discussions.
Requirements
- At least 1 year of data engineering experience.
- At least 2 years of experience analyzing and interpreting data using technologies such as Redshift, Oracle, or NoSQL.
- Bachelor’s degree in a quantitative or technical field such as computer science, engineering, or statistics.
- Knowledge of distributed systems for data storage and computing.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Experience with one or more query languages such as SQL, PL/SQL, DDL, MDX, HiveQL, or SparkSQL.
- Experience with one or more scripting languages such as Python, KornShell, or Scala.
- Preferred experience with Hadoop, Hive, Spark, EMR, or other big data technologies.
- Preferred experience with ETL tools such as Informatica, ODI, SSIS, BODI, or Datastage.
Benefits
- Comprehensive medical, dental, vision, prescription, Basic Life and AD&D insurance, and optional supplemental life plans.
- Employee Assistance Program, mental health support, medical advice line, and flexible spending accounts.
- Adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- The position is based in Bellevue, Washington; no remote or hybrid arrangement is stated.
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.