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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer II, AWS Marketplace and Partner... - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $132,100.0 - $178,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, C Sharp (Programming Language), C++ (Programming Language), Apache Lucene, Computer Programming, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Database Design, Distributed Systems, Fault Tolerance, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, NoSQL, Oracle (Applications), Windows PowerShell, Ruby, Software Engineering, Apache Solr, Data Storage Technologies, Apache Spark, Electronic Medical Records, Data Lakes, Information Technology, Data Analytics, Codebase, Marketplace, Data Pipelines, Amazon Redshift, Golang - **Published:** July 22, 2026 - **Apply:** https://www.juju.com/job/00000000gj27f5 ## About the Role 5+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 3+ years of big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza experience Preferred Qualifications - Master's degree in statistics, business analytics, data analytics, data science, computer science or related field - Knowledge of distributed systems as it pertains to data storage and computing - Experience working on and delivering end to end projects independently ## Description AWS Marketplace and Partner Services (AMPS) is a fast growing org which supports a number of personas including but not limited to Sellers, Partners, Partner Development Managers and AWS Marketplace. AMPS team is driven by the mission to provide best partner experience worldwide and create a better future for our customers and communities through a culture of Customer obsession, innovation and a relentless pursuit of excellence. Data Engineering is a horizontal layer that supports all the foundational data needs for the organization. As a Data Engineer on the AMPS team, you will work directly with Software Engineering, Business Intelligence, Data Science and Product teams to continuously improve and build our data infrastructure, data model, tools and data pipelines. Your work will directly influence and drive organizational insights, customer facing features and machine learning models. To be successful in this role, you should have strong database design skills, comfort with large data sets and an eagerness to invent. You should have a passion for data and analytics with the technical skills needed to build for scale and automation. Key job responsibilities - Architecture design and implementation of next generation data pipelines and BI solutions - Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc. - Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers A day in the life - Collaborate with Software Engineers, Product Managers, Data Scientists and Business Intelligence Engineers to design, plan and deliver on high priority data initiatives serving internal stakeholders and AWS customers. - Build automated, fault tolerant and scalable data solutions leveraging state of the art technologies including but not limited to Spark, EMR, Python, Redshift, Glue and S3. - Look around corners and be creative - Continuously evaluate and improve our strategy, architecture, tooling and codebase to maximize performance, scalability and availability. 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, 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, and we are early adopters of GenAI in our engineering workflow. 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