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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer, Analytics & Data Engineering - **Company:** Amazon.com, Inc. - **Location:** Arlington, VA, United States - **Experience:** Experienced - **Salary:** $132,100.0 - $178,800.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Big Data, Cloud Computing, Profiling, Databases, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Design Documents, Identity and Access Management, Python (Programming Language), PostgreSQL, Node.Js, Standard Sql, Scala (Programming Language), SQL Databases, Data Streaming, Scripting, Load Balancing, Electronic Medical Records, Amazon Relational Database Service, Data Lakes, Information Technology, AWS Glue, Route53, Cloudwatch, Amazon Simple Queue Service (SQS), Data Pipelines, Amazon Redshift, Programming Languages - **Published:** May 15, 2026 - **Apply:** https://dejobs.org/x/x/D1A76CA6658F4B5D81831323189CEFE4/job/ ## About the Role * Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions * 4+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience * Experience with SQL * Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS * Current, active US Government Security Clearance of TS/SCI with Polygraph, * Master's or PhD in Computer Science, Engineering, Mathematics, or a related discipline. * Experience building data products incrementally and managing datasets from multiple sources. * Experience operating very large data environments, such as data lakes, lakehouses, or data warehouses. * Query performance tuning expertise using Unix/Linux profiling tools and SQL. * Proficiency with AWS tools and technologies (e.g., SNS, Redshift, RDS, S3, EC2, Athena, Glue, Lambda, SageMaker, EC2 Load Balancing, AWS Diode, EventBridge, Cloudwatch Logs, SQS, Route 53). * Experience creating visual data representations using BI platforms ## Description Amazon Web Services (AWS), Worldwide Public Sector (WWPS), MVP Analytics & Data Engineering Team (MADE) is seeking a Data Engineer who will be responsible for developing and managing big data systems. The ideal candidate will possess a deep understanding of data engineering fundamentals and best practices, with the skills and experience to develop autonomous, scalable programs. Familiarity and exposure to data warehousing and cloud-based service offerings are also requirements to raise the bar in this role. The Data Engineer will be responsible for scaling existing infrastructure, incorporating new data sources, and building robust data pipelines for production level systems. In partnership with business intelligence engineers and analysts, the Data Engineer will work backwards from the customer to build reliable and scalable data solutions to meet the business needs. Finally, this individual will work closely with project management teams to ensure proper guidance, use cases, and documentation is available to our Sales and Operations teams. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph., * Analyze existing databases and warehouse structures to determine the most efficient and scalable methods for consolidating and aggregating data. * Design and develop all components of data solutions using Amazon Redshift and Amazon Aurora Postgres to create an Operations data warehouse. * Create and propose technical design documentation, including: current and future ETL functionality, affected database objects, specifications, data flows, and diagrams detailing the proposed implementation ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Stop using Node.js like in 2020! 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