Data Engineer II, AWS Field Experience - Investments
Not Disclosed•Full-TimeOn-site
location_on301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States
About the Team
The Investments Platform team at AWS is a high-velocity, highly agile group operating with startup-like speed and ownership within a massive enterprise environment. We thrive on rapidly evolving requirements, frequent pivots, and bold experimentation—hallmarks of how AWS stays ahead in a fast-moving world.
Our small, cross-functional team includes data engineers, product managers, program leaders, and GenAI specialists who collaborate closely to deliver secure, scalable data solutions that power strategic decisions for Amazon's key customers. We value initiative, quick iteration, and end-to-end impact over rigid processes, fostering an environment where you own outcomes from idea to production at global scale.
Work location
Work model: On-site
301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States
Seattle, Washington
Key Responsibilities
- check_circleDesign and implement robust, scalable data pipelines and ETL processes using AWS-native services
- check_circleDevelop, automate, and optimize metrics, reports, dashboards, and analytics workflows to drive business insights
- check_circleLeverage GenAI services like Amazon Bedrock and Nova models to prototype intelligent features and automate data workflows
- check_circleConduct rapid prototyping, proof-of-concepts, and automation tooling to validate and improve data collection and processing
- check_circleCollaborate across teams to ingest, transform, and integrate data from diverse sources using AWS big data technologies
- check_circleChampion best practices in data integrity, testing, validation, monitoring, and documentation in a fast-paced environment
- check_circleProactively identify opportunities to improve system reliability, scalability, and efficiency while solving problems at their root
- check_circleOwn infrastructure for data processing and analytics, including performance tuning, cost optimization, and architectural evolution
- check_circleBuild and maintain data models, schemas, and storage solutions across SQL, NoSQL, data lakes, and warehouses
Requirements
- verified5+ years developing large-scale data structures for BI analytics using ETL/ELT processes
- verified5+ years developing large-scale data structures for BI analytics using SQL
- verified5+ years developing large-scale data structures for BI analytics using Oracle
- verifiedExperience with data modeling, warehousing, and building ETL pipelines
- verifiedExperience with AWS technologies (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM)
- verifiedExperience with non-relational databases (object storage, document, key-value, graph, column-family)
Benefits & Perks
check_circleHealth insurance including medical, dental, vision, prescription, Basic Life & AD&Dcheck_circleSupplemental life plans and EAP with Mental Health Support and Medical Advice Linecheck_circleFlexible Spending Accounts and Adoption and Surrogacy Reimbursement coveragecheck_circle401(k) matching programcheck_circlePaid time off and parental leave
Similar Job Opportunities
Frequently asked questions about Data Engineer II, AWS Field Experience - Investments at Amazon Web Services (AWS)
What does a Data Engineer II, AWS Field Experience - Investments at Amazon Web Services (AWS) do?expand_more
A Data Engineer II, AWS Field Experience - Investments at Amazon Web Services (AWS) is responsible for the following: Design and implement robust, scalable data pipelines and ETL processes using AWS-native services; Develop, automate, and optimize metrics, reports, dashboards, and analytics workflows to drive business insights; Leverage GenAI services like Amazon Bedrock and Nova models to prototype intelligent features and automate data workflows; and Conduct rapid prototyping, proof-of-concepts, and automation tooling to validate and improve data collection and processing.
What are the requirements for this Data Engineer II, AWS Field Experience - Investments role?expand_more
To qualify for the Data Engineer II, AWS Field Experience - Investments at Amazon Web Services (AWS) position, applicants should have: 5+ years developing large-scale data structures for BI analytics using ETL/ELT processes; 5+ years developing large-scale data structures for BI analytics using SQL; 5+ years developing large-scale data structures for BI analytics using Oracle; Experience with data modeling, warehousing, and building ETL pipelines; Experience with AWS technologies (Redshift, S3, Glue, EMR, Kinesis, FireHose, Lambda, IAM); and Experience with non-relational databases (object storage, document, key-value, graph, column-family).
Where is the Data Engineer II, AWS Field Experience - Investments role at Amazon Web Services (AWS) located?expand_more
Data Engineer II, AWS Field Experience - Investments at Amazon Web Services (AWS) is based in 301, Union Street, Central Business District, Belltown, Seattle, King County, Washington, 98101, United States. This is a on-site role.
Is this Data Engineer II, AWS Field Experience - Investments job remote, hybrid, or on-site?expand_more
Amazon Web Services (AWS) has listed this Data Engineer II, AWS Field Experience - Investments role as on-site.
How much experience is required for this Data Engineer II, AWS Field Experience - Investments role?expand_more
Data Engineer II, AWS Field Experience - Investments at Amazon Web Services (AWS) typically requires 5+ years of relevant experience at the senior level.
What skills do you need for the Data Engineer II, AWS Field Experience - Investments role at Amazon Web Services (AWS)?expand_more
Key skills for Data Engineer II, AWS Field Experience - Investments at Amazon Web Services (AWS) include Amazon Web Services; Glue; Lambda; Emr; Kinesis; S3; Redshift; and Spectrum.
What category does the Data Engineer II, AWS Field Experience - Investments role belong to?expand_more
Data Engineer II, AWS Field Experience - Investments at Amazon Web Services (AWS) is part of the it job category on Recrutus.