{"schemaVersion":"jobsearcher.job.v1","id":"c66b68bcfb9ce5757f3c05ca","url":"https://jobsearcher.com/jobs/c66b68bcfb9ce5757f3c05ca","canonicalUrl":"https://jobsearcher.com/jobs/c66b68bcfb9ce5757f3c05ca","title":"Sr AWS Data Engineer","description":"(Medallion Architecture). Infrastructure: CloudFormation/Terraform, CI/CD with GitHub Actions. Core Responsibilities: Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.\nQualifications: Bachelor’s degree in Computer Science or related field.\nStrong hands-on experience with Apache Spark and Glue.\nProven ability to work with Python-based data pipelines.\nExperience with Git and GitHub Actions is mandatory.\nRequired Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.\n7+ years of enterprise Data Engineering experience. Strong Python development experience. Advanced SQL programming skills.\nExtensive experience with Apache Spark and PySpark.\nHands-on experience with AWS data services including: S3 AWS Glue Athena Lambda Step Functions EventBridge Experience building enterprise ETL and ELT pipelines.\nStrong understanding of distributed data processing.\nExperience working with large-scale cloud data platforms. Strong knowledge of dimensional data modeling.\nExperience implementing CI/CD pipelines. Familiarity with Agile/Scrum methodologies.\nExcellent communication and stakeholder management skills.\nPreferred Qualifications\nFinancial Services or Asset Management industry experience.\nExperience with Snowflake or Databricks.\nKnowledge of Apache Iceberg, Delta Lake, or Hudi.\nExperience with Airflow. Knowledge of Kafka or Kinesis streaming.\nExperience supporting AI/ML and advanced analytics platforms. AWS Professional or Specialty Certifications.\nJob Responsibilities:\nWe are seeking high-caliber Data Engineers to drive the B2B Service Experience and Financials initiatives.\nIn this pivotal role, you will architect, implement, and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering our core financial engines and reporting ecosystems.","company":"IntelliBee","rawCompany":"intellibee","city":"Malvern","state":"AR","isRemote":false,"isActive":false,"createdAt":"2026-08-10T14:54:12.522Z","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":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Sr AWS Data Engineer","description":"(Medallion Architecture). Infrastructure: CloudFormation/Terraform, CI/CD with GitHub Actions. Core Responsibilities: Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.\nQualifications: Bachelor’s degree in Computer Science or related field.\nStrong hands-on experience with Apache Spark and Glue.\nProven ability to work with Python-based data pipelines.\nExperience with Git and GitHub Actions is mandatory.\nRequired Qualifications Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.\n7+ years of enterprise Data Engineering experience. Strong Python development experience. Advanced SQL programming skills.\nExtensive experience with Apache Spark and PySpark.\nHands-on experience with AWS data services including: S3 AWS Glue Athena Lambda Step Functions EventBridge Experience building enterprise ETL and ELT pipelines.\nStrong understanding of distributed data processing.\nExperience working with large-scale cloud data platforms. Strong knowledge of dimensional data modeling.\nExperience implementing CI/CD pipelines. Familiarity with Agile/Scrum methodologies.\nExcellent communication and stakeholder management skills.\nPreferred Qualifications\nFinancial Services or Asset Management industry experience.\nExperience with Snowflake or Databricks.\nKnowledge of Apache Iceberg, Delta Lake, or Hudi.\nExperience with Airflow. Knowledge of Kafka or Kinesis streaming.\nExperience supporting AI/ML and advanced analytics platforms. AWS Professional or Specialty Certifications.\nJob Responsibilities:\nWe are seeking high-caliber Data Engineers to drive the B2B Service Experience and Financials initiatives.\nIn this pivotal role, you will architect, implement, and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering our core financial engines and reporting ecosystems.","datePosted":"2026-08-10T14:54:12.522Z","dateModified":"2026-08-10T14:54:12.522Z","hiringOrganization":{"@type":"Organization","name":"IntelliBee","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Malvern","addressRegion":"AR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c66b68bcfb9ce5757f3c05ca"},"url":"https://jobsearcher.com/jobs/c66b68bcfb9ce5757f3c05ca"}}