{"schemaVersion":"jobsearcher.job.v1","id":"dca099d15f29726ea778f573","url":"https://jobsearcher.com/jobs/dca099d15f29726ea778f573","canonicalUrl":"https://jobsearcher.com/jobs/dca099d15f29726ea778f573","title":"Big Data Engineer","description":"🚀 Hiring: Big Data Engineer (AWS | Spark | SQL | AI Tools) 📍 Location: Rockville, MD or Tysons Corner, VA (3 days office Hybrid)We are looking for a highly skilled Big Data Engineer to design, build, and optimize large-scale data processing systems. This role involves working on modern data platforms supporting interactive analytics and reporting solutions in a fast-paced environment.You will collaborate with cross-functional teams to develop scalable data pipelines, improve system performance, and leverage cutting-edge technologies including AI-assisted development tools.🔧 Key Responsibilities:Design and develop scalable data pipelines using Spark, Hadoop, and cloud technologiesBuild and optimize ETL/data processing workflows handling large datasets (TB–PB scale)Implement efficient data ingestion, transformation, and storage solutionsOptimize performance of distributed systems and troubleshoot production issuesCollaborate with data scientists, analysts, and engineering teamsEnsure data quality through testing, monitoring, and automationLeverage AI tools (Copilot, ChatGPT, etc.) to improve development workflows✅ Must Have Skills:5+ years of experience in Big Data EngineeringStrong hands-on experience with Apache Spark (core + performance tuning)Expertise in SQL (window functions, joins, optimization)Strong programming skills in Python / Scala / JavaExperience working with large-scale data (terabytes or more)Hands-on experience with AWS (S3, EMR, Glue, Lambda, Athena, etc.)Experience with Hadoop ecosystem (Hive, HDFS, etc.)Strong understanding of distributed systems & data processing architecturesExperience with CI/CD pipelinesHands-on exposure to AI tools (GitHub Copilot, ChatGPT, etc.)⭐ Nice to Have:Experience with Trino / PrestoKnowledge of Spark internals & optimization techniquesExperience with data pipeline monitoring & troubleshootingExposure to Agile/Scrum environments💡 What We’re Looking For:Strong problem-solving mindset with real-world debugging experienceAbility to work in fast-paced, high-scale environmentsSomeone who can own data pipelines end-to-end📩 If you're interested or know someone who fits, feel free to reach out!","company":"Unisys","rawCompany":"unisys","city":"Silver Spring","state":"MD","isRemote":false,"isActive":false,"createdAt":"2026-05-08T06:33:26.798Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Big Data Engineer","description":"🚀 Hiring: Big Data Engineer (AWS | Spark | SQL | AI Tools) 📍 Location: Rockville, MD or Tysons Corner, VA (3 days office Hybrid)We are looking for a highly skilled Big Data Engineer to design, build, and optimize large-scale data processing systems. This role involves working on modern data platforms supporting interactive analytics and reporting solutions in a fast-paced environment.You will collaborate with cross-functional teams to develop scalable data pipelines, improve system performance, and leverage cutting-edge technologies including AI-assisted development tools.🔧 Key Responsibilities:Design and develop scalable data pipelines using Spark, Hadoop, and cloud technologiesBuild and optimize ETL/data processing workflows handling large datasets (TB–PB scale)Implement efficient data ingestion, transformation, and storage solutionsOptimize performance of distributed systems and troubleshoot production issuesCollaborate with data scientists, analysts, and engineering teamsEnsure data quality through testing, monitoring, and automationLeverage AI tools (Copilot, ChatGPT, etc.) to improve development workflows✅ Must Have Skills:5+ years of experience in Big Data EngineeringStrong hands-on experience with Apache Spark (core + performance tuning)Expertise in SQL (window functions, joins, optimization)Strong programming skills in Python / Scala / JavaExperience working with large-scale data (terabytes or more)Hands-on experience with AWS (S3, EMR, Glue, Lambda, Athena, etc.)Experience with Hadoop ecosystem (Hive, HDFS, etc.)Strong understanding of distributed systems & data processing architecturesExperience with CI/CD pipelinesHands-on exposure to AI tools (GitHub Copilot, ChatGPT, etc.)⭐ Nice to Have:Experience with Trino / PrestoKnowledge of Spark internals & optimization techniquesExperience with data pipeline monitoring & troubleshootingExposure to Agile/Scrum environments💡 What We’re Looking For:Strong problem-solving mindset with real-world debugging experienceAbility to work in fast-paced, high-scale environmentsSomeone who can own data pipelines end-to-end📩 If you're interested or know someone who fits, feel free to reach out!","datePosted":"2026-05-08T06:33:26.798Z","dateModified":"2026-05-08T06:33:26.798Z","hiringOrganization":{"@type":"Organization","name":"Unisys","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Silver Spring","addressRegion":"MD","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"dca099d15f29726ea778f573"},"url":"https://jobsearcher.com/jobs/dca099d15f29726ea778f573"}}