Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Parental leave
- Sign-on payments
- Restricted stock units (RSUs)
Compensation for this on-site role in Seattle, WA ranges from USD 132,100 to USD 178,800 per year.
Team and culture
As a Data Engineer II on the AWS AMPS team, you will design, build, and optimize data pipelines and infrastructure to enable analytics and machine learning across AWS Marketplace. Our work supports external Marketplace sellers and more than 3,000 internal stakeholders across Finance, Sales, and Partnerships. We are building a unified Canonical Data Model on Redshift and Data Lake, handling greenfield data engineering at scale, and prioritizing data quality and security as core principles.
Diverse experiences
AWS values diverse experiences. If you do not meet every preferred qualification, we encourage you to apply. Non-traditional backgrounds, emerging careers, or alternative paths are welcome to contribute to the team.
Why AWS
AWS offers the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of startups and Global 500 companies alike with a robust suite of products and services.
Inclusive team culture
Curiosity and connection are central to our culture. Our affinity groups foster inclusion and empower teams to bring unique perspectives. Inclusion events strengthen collaboration, and bold ideas from diverse voices fuel our continual innovation.
Mentorship and career growth
We aim to raise the performance bar and support your development through knowledge sharing, mentorship, and resources that help you grow into a more well-rounded professional.
Work life balance
We value work life harmony and offer flexibility within our working culture. When people feel supported at work and at home, high performance follows.
Responsibilities
- Architect and implement next generation data pipelines and BI solutions
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, and more
- Deliver robust data architectures and pipelines to support business analysts, data scientists, and customer reporting
- Collaborate with other technology teams to extract, transform, and load data from diverse sources
- Improve reporting and analysis processes, automating self-service capabilities where possible
- Work with Software Engineers, Product Managers, Data Scientists, and BI Engineers on high priority data initiatives for internal stakeholders and AWS customers
- Build automated, fault-tolerant, scalable data solutions using Spark, EMR, Python, Redshift, Glue, S3, and related technologies
- Apply creative thinking to anticipate needs and solve problems
- Continuously evaluate and improve strategy, architecture, tooling, and codebase to maximize performance and availability
Requirements
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Proficiency in at least one modern programming language such as C++, C#, Java, Python, Golang, PowerShell, or Ruby
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar systems
- 3+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR, Storm, or Samza
- Master's degree preferred
Technologies we use
- EC2, RDS, Redshift, Kinesis, EMR, Lambda
- Spark, Python, Glue, S3
- Airflow, CDK
- Hadoop, Pig, Hive, Lucene/SOLR, Storm, Samza
