{"schemaVersion":"jobsearcher.job.v1","id":"6b2acf1e0fee03e0dda4c873","url":"https://jobsearcher.com/jobs/6b2acf1e0fee03e0dda4c873","canonicalUrl":"https://jobsearcher.com/jobs/6b2acf1e0fee03e0dda4c873","title":"Data Engineer","description":"Overview\nWe are seeking an experienced Data Engineer with strong AWS expertise to join our growing data and cloud engineering team. The ideal candidate will design, build, and optimize scalable data pipelines and cloud-native data solutions that support analytics, reporting, and advanced data science initiatives. This role requires hands-on experience with AWS services, modern data engineering tools, and relational databases, along with the ability to collaborate closely with cross-functional teams.\nKey Responsibilities\nDesign, develop, and deploy end-to-end data pipelines using Python, SQL, and cloud-native services\nBuild and manage ETL/ELT workflows using COTS and GOTS tools across on-prem and AWS environments\nDevelop and optimize data models and manage large datasets stored in AWS services such as S3 and Redshift\nWrite and optimize complex SQL queries for data extraction, transformation, and integration\nDevelop and maintain APIs and web services to support data access and integration\nCollaborate with business and technical stakeholders to translate requirements into scalable technical solutions\nSupport data visualization and reporting using tools such as Tableau and Power BI\nTroubleshoot and optimize data workflows for performance, reliability, and scalability\nContribute to cloud architecture and IaaS deployments on AWS\nSupport distributed data processing and migration efforts using Apache Spark, Databricks, and related technologies\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field\n5+ years of experience in data engineering, data science, or related engineering roles\nStrong proficiency in Python and SQL; experience with Java and/or R is a plus\nHands-on experience with AWS services, including S3, Redshift, and compute services\nExperience designing and implementing data pipelines and data architectures\nStrong experience with relational databases such as PostgreSQL, Oracle, MySQL, and Redshift\nExperience developing RESTful APIs and web services\nFamiliarity with containerization and modern cloud-native development practices\nExcellent analytical, problem-solving, and communication skills\nMust be eligible for a Public Trust\nPreferred Qualifications\nExperience with machine learning pipelines, model integration, or model deployment\nExperience porting analytical workloads (SAS, Python, R) to Spark, MapReduce, or multiprocessing environments\nSolid understanding of data architecture, distributed computing, and core computer science concepts\nExperience with Databricks and big-data ecosystems\nJob Details\nEmployment Type: Full-time\nWork Schedule: Monday–Friday, 9:00 AM – 5:00 PM EST\nWork Location: Hybrid – 2 days onsite (Reston, VA) and 3 days remote\nPay: $95,000.00 - $110,000.00 per year\nBenefits:\n401(k)\nDental insurance\nFlexible schedule\nHealth insurance\nPaid time off\nVision insurance\nApplication Question(s):\nAre you eligible for a Public Trust?\nWork Location: Hybrid remote in Reston, VA 20190","company":"Brite Group","rawCompany":"brite group","city":"Reston","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:11:46.620Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Data Engineer","description":"Overview\nWe are seeking an experienced Data Engineer with strong AWS expertise to join our growing data and cloud engineering team. The ideal candidate will design, build, and optimize scalable data pipelines and cloud-native data solutions that support analytics, reporting, and advanced data science initiatives. This role requires hands-on experience with AWS services, modern data engineering tools, and relational databases, along with the ability to collaborate closely with cross-functional teams.\nKey Responsibilities\nDesign, develop, and deploy end-to-end data pipelines using Python, SQL, and cloud-native services\nBuild and manage ETL/ELT workflows using COTS and GOTS tools across on-prem and AWS environments\nDevelop and optimize data models and manage large datasets stored in AWS services such as S3 and Redshift\nWrite and optimize complex SQL queries for data extraction, transformation, and integration\nDevelop and maintain APIs and web services to support data access and integration\nCollaborate with business and technical stakeholders to translate requirements into scalable technical solutions\nSupport data visualization and reporting using tools such as Tableau and Power BI\nTroubleshoot and optimize data workflows for performance, reliability, and scalability\nContribute to cloud architecture and IaaS deployments on AWS\nSupport distributed data processing and migration efforts using Apache Spark, Databricks, and related technologies\nRequired Qualifications\nBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field\n5+ years of experience in data engineering, data science, or related engineering roles\nStrong proficiency in Python and SQL; experience with Java and/or R is a plus\nHands-on experience with AWS services, including S3, Redshift, and compute services\nExperience designing and implementing data pipelines and data architectures\nStrong experience with relational databases such as PostgreSQL, Oracle, MySQL, and Redshift\nExperience developing RESTful APIs and web services\nFamiliarity with containerization and modern cloud-native development practices\nExcellent analytical, problem-solving, and communication skills\nMust be eligible for a Public Trust\nPreferred Qualifications\nExperience with machine learning pipelines, model integration, or model deployment\nExperience porting analytical workloads (SAS, Python, R) to Spark, MapReduce, or multiprocessing environments\nSolid understanding of data architecture, distributed computing, and core computer science concepts\nExperience with Databricks and big-data ecosystems\nJob Details\nEmployment Type: Full-time\nWork Schedule: Monday–Friday, 9:00 AM – 5:00 PM EST\nWork Location: Hybrid – 2 days onsite (Reston, VA) and 3 days remote\nPay: $95,000.00 - $110,000.00 per year\nBenefits:\n401(k)\nDental insurance\nFlexible schedule\nHealth insurance\nPaid time off\nVision insurance\nApplication Question(s):\nAre you eligible for a Public Trust?\nWork Location: Hybrid remote in Reston, VA 20190","datePosted":"2026-04-14T11:11:46.620Z","dateModified":"2026-04-14T11:11:46.620Z","hiringOrganization":{"@type":"Organization","name":"Brite Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reston","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6b2acf1e0fee03e0dda4c873"},"url":"https://jobsearcher.com/jobs/6b2acf1e0fee03e0dda4c873"}}