Data Engineer II

Amazon Web Services, Inc.; Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Sign-on payments

Restricted stock units (RSUs)

Job summary

Amazon Web Services, Inc. in Seattle, WA is seeking a Data Engineer II on the AMPS team to design, build, and optimize data pipelines and infrastructure for analytics and ML across the AWS Marketplace.

Compensation ranges from USD 132,100 to 178,800 per year and a Master’s degree is preferred with at least 3 years of relevant experience. You will design advanced data pipelines, manage AWS resources (EC2, RDS, Redshift, Kinesis, EMR, Lambda), and collaborate with engineers, data scientists, and

Qualifications

• Master’s degree preferred with at least 3 years of relevant experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Proficiency in at least one modern programming language such as C++, C#, Java, Python, Go, PowerShell, or Ruby.
• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• 3+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR, Storm, or Samza.

Responsibilities

• Design and implement advanced data pipelines and BI platforms.
• Manage AWS resources such as EC2, RDS, Redshift, Kinesis, EMR, Lambda, and related services.
• Deliver robust data architecture and pipelines to support business analysts, data scientists, and customer reporting needs.
• Collaborate with other technology teams to extract, transform, and load data from diverse sources.
• Improve reporting and analysis processes, automating self-service support for customers.
• Partner with Software Engineers, Product Managers, Data Scientists and BI Engineers to plan and execute high priority data initiatives for internal stakeholders and AWS customers.
• Build automated, fault-tolerant and scalable data solutions using Spark, EMR, Python, Redshift, Glue and S3.
• Think creatively about data needs and solutions to address future requirements.
• Continuously evaluate and refine strategy, architecture, tooling and codebase to maximize performance, scalability and availability.

Job description

Data Engineer II on the AWS AMPS team in Seattle, WA (onsite) designs, builds, and optimizes data pipelines and infrastructure to enable analytics and ML across the AWS Marketplace; compensation ranges from USD 132,100 to 178,800 per year and a Master’s degree is preferred with at least 3 years of relevant experience.

Responsibilities

• Design and implement advanced data pipelines and BI platforms.
• Manage AWS resources such as EC2, RDS, Redshift, Kinesis, EMR, Lambda, and related services.
• Deliver robust data architecture and pipelines to support business analysts, data scientists, and customer reporting needs.
• Collaborate with other technology teams to extract, transform, and load data from diverse sources.
• Improve reporting and analysis processes, automating self-service support for customers.
• Partner with Software Engineers, Product Managers, Data Scientists and BI Engineers to plan and execute high priority data initiatives for internal stakeholders and AWS customers.
• Build automated, fault-tolerant and scalable data solutions using Spark, EMR, Python, Redshift, Glue and S3.
• Think creatively about data needs and solutions to address future requirements.
• Continuously evaluate and refine strategy, architecture, tooling and codebase to maximize performance, scalability 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, Go, PowerShell, or Ruby.
• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• 3+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR, Storm, or Samza.

Technologies

• EC2, RDS, Redshift, Kinesis, EMR, Lambda
• Spark, Python, Glue, S3
• Airflow, CDK
• Hadoop, Pig, Hive
• Lucene/SOLR, Storm, Samza

Benefits

• Health insurance
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments
• Restricted stock units (RSUs)

About the Team

We are the Data Engineering team in AMPS, powering analytics for the AWS Marketplace Platform. Our data serves external Marketplace sellers and over 3,000 internal Finance, Sales, and Partner stakeholders. We are building a unified Canonical Data Model on Redshift and Data Lake, pursuing greenfield data engineering at scale: designing ETL frameworks, migrating billions of rows, and treating data quality and security as first-class concerns. We work across Redshift, Airflow, Glue, S3, and CDK.

Diverse Experiences

AWS values diverse experiences. Candidates who do not meet every listed qualification are encouraged to apply. If your career path is nontraditional or you are early in your career, consider applying to bring your unique perspective.

Why AWS

Amazon Web Services is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of startups to Global 500 companies to power their businesses.

Inclusive Team Culture

AWS promotes curiosity and connection through employee-led and company-sponsored affinity groups. Inclusion events foster stronger, more collaborative teams, and bold ideas from diverse voices drive ongoing innovation.

Mentorship & Career Growth

We continuously raise our performance bar and provide knowledge-sharing, mentorship, and career-advancing resources to help you grow into a well-rounded professional.

Work/Life Balance

We value work-life harmony and offer flexibility as part of our culture. A supportive environment at work and at home enables teams to achieve more.