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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer AWS - US Citizens - **Company:** Fracsys Inc - **Location:** Leesburg, VA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Amazon S3, Data Analysis, Batch Processing, Big Data, Cloud Database, Information Systems, Databases, Data Architecture, Data Cleansing, Information Engineering, Data Files, Extract Transform Load (ETL), Data Mart, Data Mining, Data Structures, Data Warehousing, Relational Databases, Perl (Programming Language), Apache Hadoop, Apache Hive, Java Database Connectivity, JSON, Python (Programming Language), PostgreSQL, Unix Shell, Microsoft SQL Server, MicroStrategy, NoSQL, Oracle (Applications), Power BI, SAS (Software), SQL Stored Procedures, Talend, Extensible Markup Language (XML), Data Processing, Freeform SQL, Snowflake, Apache Spark, Er-Win, Information Technology, Data Analytics, AWS Data Analytics, Apache Kafka, Presto, Data Pipelines - **Published:** August 6, 2026 - **Apply:** https://www.wayup.com/i-j-Data-Engineer-AWS-US-Citizens-FRACSYS-INC-922213355045280/ ## About the Role Senior Data professional with over 8 years of expertise in Data Engineering, Data Analysis, and Data Science. Experience creating Data Marts, Data warehouses on-premise and on cloud for real time and batch processing frameworks Experience building and optimizing big-data data pipelines and data sets including Postgres, AWS Relational Data Service extensive hands-on experience building and optimizing data structures for data analytics, data science and business intelligence Experience building self-service data consumption patterns and knowledge of cloud-based data Lake platforms Experience wrangling data (structured and unstructured), in-depth knowledge of database architecture Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift Experience in snowflake is an added bonus. Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark Ability to drive, contribute to, and communicate solutions to technical product challenges Ability to roll-up your sleeves and work in process or resource gaps and fill it in yourself Excellent written and oral communication skills in English Education Bachelor's degree in computer science, Data Analytics, Information Systems, or a related degree or equivalent experience. Master's degree is preferred. ## Description Fracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data Warehousing and Business Intelligence projects. This positions requires US Citizenship due to Clearance requirements. Responsibilities Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, Write complex SQL queries and stored procedures to extract, manipulate, and analyze data from relational databases Conduct diagnostic, troubleshooting steps and present conclusions to a varied audience comfortable slinging some code to solve a problem Build Data Marts and Data warehouses to facilitate analytical capabilities across the varied sources of data Design and implement data patterns on cloud using cloud Data warehouse and data virtualization tools Evaluate new tools and technologies for target state on cloud Learn and implement new ETL, BI tools and data warehousing technologies ## Related Videos - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [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) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)