{"schemaVersion":"jobsearcher.job.v1","id":"0b3d5da166d76ed9dc8e9077","url":"https://jobsearcher.com/jobs/0b3d5da166d76ed9dc8e9077","canonicalUrl":"https://jobsearcher.com/jobs/0b3d5da166d76ed9dc8e9077","title":"Senior Data Engineer (SQL, Python, Redshift, AWS)","description":"Location: RemoteDuration: Long-term contractWe are seeking a Senior Data Engineer with strong expertise in SQL, Python, Amazon Redshift, and AWS data technologies. The ideal candidate will have experience working with large-scale datasets, complex reporting systems, data quality validation, and performance optimization.This role will focus on building data quality frameworks, troubleshooting data issues, creating automated validation processes, and supporting critical business reporting and analytics.Must-have skills10+ years of Data Engineering / Data Analytics experienceExpert-level SQL (complex queries, joins, CTEs, window functions, optimization)Strong Python for data analysis and automationExtensive experience with Amazon RedshiftExperience with materialized views and query performance tuningExperience handling large datasets and reporting platformsStrong knowledge of data validation, reconciliation, and data quality processesAWS experience with S3 and GlueExperience with Tableau and/or QuickSightExcellent communication and stakeholder collaboration skillsPreferred skillsAWS AthenaAWS LambdaSNS/SQSApache SparkAI tools such as GitHub Copilot, Amazon Q, Claude, Google Cloud AI, or Tableau AIAgile/Scrum experienceKey responsibilitiesWrite and optimize complex SQL queries for reporting and analyticsBuild automated data quality checks and validation frameworksMonitor data pipelines and investigate data issuesPerform root cause analysis and remediationOptimize Redshift performance and materialized viewsDevelop Python automation scripts for data validationCollaborate with architects, engineers, analysts, and business teamsDocument data quality rules, lineage, and validation processesTechnical stackSQLPythonAmazon RedshiftAWS S3AWS GlueAthenaTableauQuickSightApache SparkGitCI/CD","company":"GlobalPoint","rawCompany":"globalpoint","city":"Reston","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-13T12:11:01.670Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer (SQL, Python, Redshift, AWS)","description":"Location: RemoteDuration: Long-term contractWe are seeking a Senior Data Engineer with strong expertise in SQL, Python, Amazon Redshift, and AWS data technologies. 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