9 days ago
Seattle, WA, USA or New York, NY, USAMid Level
H1B sponsor
Base Salary
$132k - $197k/yr
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines and data infrastructure.
- Apply data quality, lineage tracking, and pipeline monitoring practices to ensure reliable data delivery.
- Create logical and physical data models that support data integrity, consistency, storage, and retrieval across relational and distributed systems.
- Develop and optimize SQL queries and scripts for extracting, transforming, and manipulating large-scale datasets.
- Use distributed data processing frameworks for high-volume workloads.
- Collaborate with analysts, data scientists, software engineers, and business stakeholders to develop well-architected data solutions.
- Improve data processes through automation, enhanced data discoverability, and appropriate use of generative AI tools.
- Review pipeline health and data quality metrics, participate in code reviews and planning, and mentor teammates on data modeling patterns.
Requirements
- At least 4 years of data engineering experience.
- Experience building and operating highly available distributed systems for data extraction, ingestion, and processing of large datasets.
- Knowledge of professional software engineering practices across the full software development life cycle, including coding standards, software architecture, code reviews, source control management, continuous deployments, testing, and operational excellence.
- Knowledge of batch and streaming data architectures such as Kafka, Kinesis, Flink, Storm, and Beam.
- Knowledge of distributed systems for data storage and computing.
- Bachelor's degree or foreign equivalent in computer science, engineering, analytics, mathematics, statistics, IT, or an equivalent qualification.
- Preferred: experience with Hadoop, Hive, Spark, or EMR.
- Preferred: experience with non-relational databases and data stores, including object storage, document or key-value stores, graph databases, and column-family databases.
- Preferred: deep understanding of advertising technologies such as ad servers and DSPs.
Benefits
- Comprehensive health coverage including medical, dental, vision, prescription, Basic Life and AD&D insurance, and optional supplemental life plans.
- Employee assistance, mental health support, medical advice line, and flexible spending accounts.
- Adoption and surrogacy reimbursement coverage.
- 401(k) matching, paid time off, and parental leave.
- Additional compensation may include sign-on payments and restricted stock units.
- Base salary locations listed include New York, NY and Seattle, WA.
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.