{"schemaVersion":"jobsearcher.job.v1","id":"e635c206e800b217f7d4fb59","url":"https://jobsearcher.com/jobs/e635c206e800b217f7d4fb59","canonicalUrl":"https://jobsearcher.com/jobs/e635c206e800b217f7d4fb59","title":"AWS Cloud Data Engineer","description":"Job Title: AWS Cloud Data Engineer\nLocation: McLean, VA\nType: Long-term contract\nWork Model: Remote\nHours: 40.0\nSecurity Clearance: Ability to obtain a Federal Public Trust clearance\nContact: Crystal.dinnocenti@systemone.com\n\nRESPONSIBILITIES\nDesign, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.\nPartner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.\nDevelop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.\nImplement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.\nCreate and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.\nEstablish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.\n\nREQUIREMENTS\nAbility to obtain a Federal Public Trust clearance.\nBachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.\nMinimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.\nStrong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.\nProficiency in Python, Scala, or Java for data processing and pipeline development.\nExperience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.\nUnderstanding of data modeling concepts for transactional and analytical workloads.\nExperience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.\nStrong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.\nNICE TO HAVE\nAWS Certified Data Engineer – Associate certification.\nAWS Certified Solutions Architect or other relevant AWS certifications.\nExperience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.\nKnowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.\nFamiliarity with Git and collaborative development practices.\nKnowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.\nExperience with data visualization tools such as QuickSight, Tableau, or Power BI.\nUnderstanding of data privacy regulations and compliance frameworks.\nExperience tuning and optimizing distributed data processing systems.\nKnowledge of networking, security, and IAM policies related to data engineering workflows.\nSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n#M1\n#LI-CD1\nRef: #851-Rockville-S1","company":"Systemone","rawCompany":"systemone","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-07-27T13:39:47.604Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS Cloud Data Engineer","description":"Job Title: AWS Cloud Data Engineer\nLocation: McLean, VA\nType: Long-term contract\nWork Model: Remote\nHours: 40.0\nSecurity Clearance: Ability to obtain a Federal Public Trust clearance\nContact: Crystal.dinnocenti@systemone.com\n\nRESPONSIBILITIES\nDesign, build, and maintain scalable data pipelines and processing solutions within AWS cloud environments.\nPartner with AWS Cloud DBAs and cross-functional teams to migrate data from legacy applications to AWS while ensuring performance, reliability, and security.\nDevelop ETL/ELT workflows to ingest, transform, and load data into data lakes, data warehouses, and analytical platforms.\nImplement AWS data services, including S3, Glue, Step Functions, Lambda, Kinesis, EMR, Athena, Redshift, RDS, and Aurora.\nCreate and maintain data models, schemas, technical documentation, and data access patterns for transactional and analytical workloads.\nEstablish data quality checks, monitoring, alerting, governance controls, and compliance practices for data retention, privacy, and security requirements.\n\nREQUIREMENTS\nAbility to obtain a Federal Public Trust clearance.\nBachelor’s degree in Computer Science, Data Engineering, or a related field; four additional years of relevant experience may be substituted for a degree.\nMinimum of 6 years of data engineering experience, including at least 3 years in AWS cloud environments.\nStrong experience with AWS data services, including S3, Glue, DMS, Athena, Redshift, EMR, Kinesis, and Lambda.\nProficiency in Python, Scala, or Java for data processing and pipeline development.\nExperience with SQL, relational databases such as PostgreSQL or Oracle, and NoSQL databases such as DynamoDB or DocumentDB.\nUnderstanding of data modeling concepts for transactional and analytical workloads.\nExperience with Infrastructure as Code tools such as Terraform, CloudFormation, or CDK, and CI/CD pipelines for data engineering workflows.\nStrong analytical, problem-solving, collaboration, and communication skills with a focus on data quality and system reliability.\nNICE TO HAVE\nAWS Certified Data Engineer – Associate certification.\nAWS Certified Solutions Architect or other relevant AWS certifications.\nExperience with Apache Spark, Apache Airflow, or AWS-native orchestration tools.\nKnowledge of data formats such as JSON, Avro, Parquet, and ORC, including compression techniques for efficient storage and processing.\nFamiliarity with Git and collaborative development practices.\nKnowledge of container technologies, including Docker, Kubernetes, ECS, or EKS.\nExperience with data visualization tools such as QuickSight, Tableau, or Power BI.\nUnderstanding of data privacy regulations and compliance frameworks.\nExperience tuning and optimizing distributed data processing systems.\nKnowledge of networking, security, and IAM policies related to data engineering workflows.\nSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n#M1\n#LI-CD1\nRef: #851-Rockville-S1","datePosted":"2026-07-27T13:39:47.604Z","dateModified":"2026-07-27T13:39:47.604Z","hiringOrganization":{"@type":"Organization","name":"Systemone","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e635c206e800b217f7d4fb59"},"url":"https://jobsearcher.com/jobs/e635c206e800b217f7d4fb59"}}