{"schemaVersion":"jobsearcher.job.v1","id":"ea40aa588c28ad5699ae2fbe","url":"https://jobsearcher.com/jobs/ea40aa588c28ad5699ae2fbe","canonicalUrl":"https://jobsearcher.com/jobs/ea40aa588c28ad5699ae2fbe","title":"AWS Data Engineer","description":"Benefits:\nHybrid\nLong Term\nOpportunity for advancement\nJob Title: AWS Data Engineer\nLocation: Dallas, TX (Hybrid – 3 days per week in-office)\nInterview Process: In-Person Interview\nProfiles Required: 8–12 Years of Experience\nLocals & Non-Locals Can Apply\n\nCore Skills: Strong AWS Services, Python/PySpark, Advanced SQL\nSubmission Details: Resume, LinkedIn URL, Work Authorization, Location Details\n\nJob Description\nOur esteemed client is seeking an experienced AWS Data Engineer with strong expertise in ETL testing, cloud migration, and Python programming in a production-grade AWS environment. You will design and maintain scalable data pipelines, ensure data quality through rigorous ETL testing, and play a key role in large-scale cloud migration initiatives.\nThis role is ideal for someone passionate about building efficient, secure, and reliable data solutions, applying functional design principles, and leveraging automation to deliver business impact.\n\nKey Responsibilities\n\nDevelop and maintain scalable ETL pipelines within the AWS ecosystem.\nConduct ETL testing to ensure data integrity, accuracy, and performance.\nLead and support large-scale cloud migration projects.\nUse Python (primary language) along with SQL and PySpark to develop data processing and automation solutions.\nOrchestrate data workflows using Apache Airflow (including MWAA).\nCollaborate with cross-functional teams to design data models and implement industry-standard data security and classification methodologies.\nMonitor, troubleshoot, and optimize pipelines for reliability and performance.\nDocument design, conduct code reviews, and apply test-driven development (TDD) practices.\nWork in Agile environments, participating in sprint planning and daily stand-ups.\nEnsure a smooth transition of data during cloud migrations, applying DevOps and CI/CD practices where needed\n\nQualifications\n\n8–12 years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development.\n5+ years of hands-on experience with Python (primary), SQL, and PySpark, applying functional design principles and software design patterns.\n5+ years building and deploying ETL pipelines across on-prem, hybrid, and cloud environments, with orchestration experience using Airflow.\n5+ years of production-level AWS experience (MWAA, Glue/EMR (Spark), S3, ECS/EKS, IAM, Lambda).\nSolid understanding of core statistical principles, data modeling, and data security best practices.\n5+ years working in Agile development with unit testing, TDD, and design documentation.\n2+ years of DevOps/CI-CD experience, including Terraform or other Infrastructure-as-Code (IaC) platforms.\nExcellent problem-solving skills, with the ability to troubleshoot complex data and performance issues.\nStrong communication skills and ability to work effectively in a hybrid model (3 days onsite in Dallas).\nFlexible work from home options available.","company":"Select Minds","rawCompany":"select minds","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-09T09:08:26.131Z","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":"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":"AWS Data Engineer","description":"Benefits:\nHybrid\nLong Term\nOpportunity for advancement\nJob Title: AWS Data Engineer\nLocation: Dallas, TX (Hybrid – 3 days per week in-office)\nInterview Process: In-Person Interview\nProfiles Required: 8–12 Years of Experience\nLocals & Non-Locals Can Apply\n\nCore Skills: Strong AWS Services, Python/PySpark, Advanced SQL\nSubmission Details: Resume, LinkedIn URL, Work Authorization, Location Details\n\nJob Description\nOur esteemed client is seeking an experienced AWS Data Engineer with strong expertise in ETL testing, cloud migration, and Python programming in a production-grade AWS environment. You will design and maintain scalable data pipelines, ensure data quality through rigorous ETL testing, and play a key role in large-scale cloud migration initiatives.\nThis role is ideal for someone passionate about building efficient, secure, and reliable data solutions, applying functional design principles, and leveraging automation to deliver business impact.\n\nKey Responsibilities\n\nDevelop and maintain scalable ETL pipelines within the AWS ecosystem.\nConduct ETL testing to ensure data integrity, accuracy, and performance.\nLead and support large-scale cloud migration projects.\nUse Python (primary language) along with SQL and PySpark to develop data processing and automation solutions.\nOrchestrate data workflows using Apache Airflow (including MWAA).\nCollaborate with cross-functional teams to design data models and implement industry-standard data security and classification methodologies.\nMonitor, troubleshoot, and optimize pipelines for reliability and performance.\nDocument design, conduct code reviews, and apply test-driven development (TDD) practices.\nWork in Agile environments, participating in sprint planning and daily stand-ups.\nEnsure a smooth transition of data during cloud migrations, applying DevOps and CI/CD practices where needed\n\nQualifications\n\n8–12 years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development.\n5+ years of hands-on experience with Python (primary), SQL, and PySpark, applying functional design principles and software design patterns.\n5+ years building and deploying ETL pipelines across on-prem, hybrid, and cloud environments, with orchestration experience using Airflow.\n5+ years of production-level AWS experience (MWAA, Glue/EMR (Spark), S3, ECS/EKS, IAM, Lambda).\nSolid understanding of core statistical principles, data modeling, and data security best practices.\n5+ years working in Agile development with unit testing, TDD, and design documentation.\n2+ years of DevOps/CI-CD experience, including Terraform or other Infrastructure-as-Code (IaC) platforms.\nExcellent problem-solving skills, with the ability to troubleshoot complex data and performance issues.\nStrong communication skills and ability to work effectively in a hybrid model (3 days onsite in Dallas).\nFlexible work from home options available.","datePosted":"2026-04-09T09:08:26.131Z","dateModified":"2026-04-09T09:08:26.131Z","hiringOrganization":{"@type":"Organization","name":"Select Minds","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ea40aa588c28ad5699ae2fbe"},"url":"https://jobsearcher.com/jobs/ea40aa588c28ad5699ae2fbe"}}