{"schemaVersion":"jobsearcher.job.v1","id":"cd2f5d20ff5d4e19501090fc","url":"https://jobsearcher.com/jobs/cd2f5d20ff5d4e19501090fc","canonicalUrl":"https://jobsearcher.com/jobs/cd2f5d20ff5d4e19501090fc","title":"AWS Data Engineer","description":"US Citizen, Green Card, H-1B, OPT-EAD, CPT, OtherWe are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team The ideal candidate will be responsible for designing developing and maintaining scalable data pipelines and architectures in the AWS cloud environment This role will collaborate closely with data scientists analysts and other business stakeholders to deliver robust data solutionsKey Responsibilities:Design build and maintain efficient reusable and reliable architecture and code for data pipelines and data applications on AWSBuild robust data ingestion pipelines from onprem to AWS and within AWS using AWS services such as Glue Redshift S3 Lambda EMRSpark Kinesis and SQSDevelop and manage ETLELT processes to collect process and store data from multiple sources ensuring data quality integrity and securityArchitect and implement endtoend data solutions ingestion storage integration processing access on AWS with a focus on data lakes and data warehousesParticipate in the architecture and system design discussions for highscale data engineering projectsIndependently perform handson development unit testing and participate in code reviews to ensure adherence to best practicesImplement serverless applications using AWS Lambda API Gateway Step Functions and other AWS technologiesMigrate data from traditional relational databases file systems and APIs to AWSbased data lakes S3 RDS Aurora and RedshiftImplement highvelocity streaming solutions using Amazon Kinesis SQS and Kafka preferredArchitect and implement CICD strategies for enterprise data platformsCollaborate with product operations QA and crossfunctional teams throughout the software development cycleStay abreast of new technology developments implement POCs for new toolstechnologies and onboard them for realworld use casesIdentify and resolve performance issues and continuously optimize for cost reliability and scalabilityRequired Qualifications:Bachelors degree in Computer Science Software Engineering MIS or equivalent combination of education and experience5 years of experience implementing and supporting data lakes data warehouses and data applications on AWS for large enterprisesStrong programming experience with Python Shell scripting and SQLSolid experience with AWS services CloudFormation S3 Athena Glue EMRSpark RDS Redshift DynamoDB Lambda Step Functions IAM KMS Secrets ManagerExperience in serverless application development and data pipeline orchestrationExperience in system analysis design development and implementation of data ingestion pipelines in AWSKnowledge of ETLELT data modeling and big data technologiesFamiliarity with data warehousing concepts and cloudbased architectureStrong problemsolving skills and attention to detailExcellent communication and teamwork abilitiesPreferred Qualifications:Experience with additional AWS services API Gateway ElasticSearch SQSExperience with infrastructureascode tools eg Terraform CloudFormationExperience with DevOps practices and CICD pipelinesExperience implementing endtoend streaming solutions Amazon Kinesis SQS KafkaAWS Solutions Architect or AWS Developer Certification preferredUnderstanding of Lakehousedata cloud architectureKnowledge of data governance and compliance standardsWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.#J-18808-Ljbffr","company":"Robotics Technologies","rawCompany":"robotics technologies","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-11-13T01:43:33.275Z","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS Data Engineer","description":"US Citizen, Green Card, H-1B, OPT-EAD, CPT, OtherWe are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team The ideal candidate will be responsible for designing developing and maintaining scalable data pipelines and architectures in the AWS cloud environment This role will collaborate closely with data scientists analysts and other business stakeholders to deliver robust data solutionsKey Responsibilities:Design build and maintain efficient reusable and reliable architecture and code for data pipelines and data applications on AWSBuild robust data ingestion pipelines from onprem to AWS and within AWS using AWS services such as Glue Redshift S3 Lambda EMRSpark Kinesis and SQSDevelop and manage ETLELT processes to collect process and store data from multiple sources ensuring data quality integrity and securityArchitect and implement endtoend data solutions ingestion storage integration processing access on AWS with a focus on data lakes and data warehousesParticipate in the architecture and system design discussions for highscale data engineering projectsIndependently perform handson development unit testing and participate in code reviews to ensure adherence to best practicesImplement serverless applications using AWS Lambda API Gateway Step Functions and other AWS technologiesMigrate data from traditional relational databases file systems and APIs to AWSbased data lakes S3 RDS Aurora and RedshiftImplement highvelocity streaming solutions using Amazon Kinesis SQS and Kafka preferredArchitect and implement CICD strategies for enterprise data platformsCollaborate with product operations QA and crossfunctional teams throughout the software development cycleStay abreast of new technology developments implement POCs for new toolstechnologies and onboard them for realworld use casesIdentify and resolve performance issues and continuously optimize for cost reliability and scalabilityRequired Qualifications:Bachelors degree in Computer Science Software Engineering MIS or equivalent combination of education and experience5 years of experience implementing and supporting data lakes data warehouses and data applications on AWS for large enterprisesStrong programming experience with Python Shell scripting and SQLSolid experience with AWS services CloudFormation S3 Athena Glue EMRSpark RDS Redshift DynamoDB Lambda Step Functions IAM KMS Secrets ManagerExperience in serverless application development and data pipeline orchestrationExperience in system analysis design development and implementation of data ingestion pipelines in AWSKnowledge of ETLELT data modeling and big data technologiesFamiliarity with data warehousing concepts and cloudbased architectureStrong problemsolving skills and attention to detailExcellent communication and teamwork abilitiesPreferred Qualifications:Experience with additional AWS services API Gateway ElasticSearch SQSExperience with infrastructureascode tools eg Terraform CloudFormationExperience with DevOps practices and CICD pipelinesExperience implementing endtoend streaming solutions Amazon Kinesis SQS KafkaAWS Solutions Architect or AWS Developer Certification preferredUnderstanding of Lakehousedata cloud architectureKnowledge of data governance and compliance standardsWe are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. 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