2 months ago
Bellevue, WA, USAMid Level
H1B sponsor
Base Salary
$132k - $179k/yr
Responsibilities
- Design, build, and maintain scalable ETL pipelines and data solutions using Python, SQL, Spark, and AWS services.
- Create logical and physical data models for the metadata-driven metrics-as-code configuration layer.
- Integrate automated and manual data feeds and deliver reliable, trusted datasets for finance and operations reporting.
- Collaborate with finance stakeholders, BI Engineers, product teams, and partner data-producer teams to gather requirements and architect pipelines.
- Participate in code reviews, design discussions, and planning while improving automation and reducing manual errors.
- Optimize query performance and resource usage and support reliable data-platform operations at scale.
Requirements
- At least 3 years of data engineering experience.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Bachelor’s degree.
- Experience with at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS.
- Knowledge of distributed systems as they relate to data storage and computing.
- Preferred experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Preferred experience with non-relational databases or data stores, including object storage, document or key-value stores, graph databases, or column-family databases.
- Preferred experience building large-scale, high-throughput, 24x7 data systems.
Benefits
- Comprehensive health coverage including medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans.
- Employee assistance, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- The package may include sign-on payments and restricted stock units; final compensation depends on experience, qualifications, and location.
- Work location: Bellevue, Washington, USA.
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.