{"schemaVersion":"jobsearcher.job.v1","id":"60cd24e8045f11d87947a468","url":"https://jobsearcher.com/jobs/60cd24e8045f11d87947a468","canonicalUrl":"https://jobsearcher.com/jobs/60cd24e8045f11d87947a468","title":"Data Engineer (AWS Glue, Airflow, Lambda, Postgres)","description":"Fort Mill, SC, United States (On-site)\nContract (7 months)\nPublished 15 days ago\nAWS Glue\nLambda\nEventbridge\npostgres\nData Engineer (AWS Glue, Airflow, Lambda, Postgres)\nRole Overview\nWe are seeking a skilled Data Engineer with strong hands-on experience in AWS-native data services, particularly Glue, Lambda, EventBridge, and workflow orchestration using Airflow. The role focuses on building scalable, event-driven data pipelines and supporting data processing and analytics on AWS and Postgres platforms.\nKey Responsibilities\nDesign and develop scalable data pipelines using AWS Glue, Lambda, and EventBridge for event-driven and batch processing.\nBuild and maintain AWS Glue ETL jobs (PySpark/Python) for data ingestion, transformation, and curation across data lake layers.\nDevelop and manage Airflow DAGs (MWAA or self-managed) to orchestrate data workflows, triggers, and dependencies across AWS services.\nImplement event-driven architectures using AWS Lambda and EventBridge for near real-time data processing.\nWrite, optimize, and maintain complex SQL queries in Postgres for data validation, transformation, and reporting.\nManage metadata and schema definitions using AWS Glue Data Catalog, ensuring proper governance and discoverability.\nBuild and support robust data ingestion frameworks for batch and near real-time data pipelines.\nMonitor and troubleshoot pipeline performance using AWS monitoring tools (CloudWatch, logs, alerts).\nCollaborate with downstream teams (BI, analytics, and Snowflake if applicable) to ensure reliable data consumption.\nContribute to system reliability, scalability, and performance optimization of the data platform.\nRequired Skills & Qualifications\n6+ years of experience in Data Engineering or a related field.\nStrong hands-on expertise in AWS Glue, Lambda, EventBridge, and S3.\nExperience building and orchestrating workflows using Apache Airflow (MWAA preferred).\nStrong proficiency in SQL (Postgres preferred) for complex transformations and performance tuning.\nExperience with Python / PySpark for ETL development.\nSolid understanding of event-driven data architecture and pipeline design.\nFamiliarity with AWS IAM, CloudWatch, and logging/monitoring frameworks.\nExperience with CI/CD pipelines (e.g., GitHub Actions) for deployment automation.\nPreferred Skills\nExperience with Terraform or infrastructure-as-code tools.\nKnowledge of data lake formats (Parquet, Iceberg, Delta).\nUnderstanding of data modeling, partitioning, and schema evolution.\nFamiliarity with AWS services such as Lake Formation, SNS, and CloudTrail.\nExposure to Snowflake or other data warehouse platforms is a plus.\nThe pay range that the employer in good faith reasonably expects to pay for this position is $39.86/hour - $62.29/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","company":"Capgemini","rawCompany":"capgemini","city":"Fort Mill","state":"SC","isRemote":false,"isActive":false,"createdAt":"2026-07-27T13:12:49.309Z","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":"Data Engineer (AWS Glue, Airflow, Lambda, Postgres)","description":"Fort Mill, SC, United States (On-site)\nContract (7 months)\nPublished 15 days ago\nAWS Glue\nLambda\nEventbridge\npostgres\nData Engineer (AWS Glue, Airflow, Lambda, Postgres)\nRole Overview\nWe are seeking a skilled Data Engineer with strong hands-on experience in AWS-native data services, particularly Glue, Lambda, EventBridge, and workflow orchestration using Airflow. The role focuses on building scalable, event-driven data pipelines and supporting data processing and analytics on AWS and Postgres platforms.\nKey Responsibilities\nDesign and develop scalable data pipelines using AWS Glue, Lambda, and EventBridge for event-driven and batch processing.\nBuild and maintain AWS Glue ETL jobs (PySpark/Python) for data ingestion, transformation, and curation across data lake layers.\nDevelop and manage Airflow DAGs (MWAA or self-managed) to orchestrate data workflows, triggers, and dependencies across AWS services.\nImplement event-driven architectures using AWS Lambda and EventBridge for near real-time data processing.\nWrite, optimize, and maintain complex SQL queries in Postgres for data validation, transformation, and reporting.\nManage metadata and schema definitions using AWS Glue Data Catalog, ensuring proper governance and discoverability.\nBuild and support robust data ingestion frameworks for batch and near real-time data pipelines.\nMonitor and troubleshoot pipeline performance using AWS monitoring tools (CloudWatch, logs, alerts).\nCollaborate with downstream teams (BI, analytics, and Snowflake if applicable) to ensure reliable data consumption.\nContribute to system reliability, scalability, and performance optimization of the data platform.\nRequired Skills & Qualifications\n6+ years of experience in Data Engineering or a related field.\nStrong hands-on expertise in AWS Glue, Lambda, EventBridge, and S3.\nExperience building and orchestrating workflows using Apache Airflow (MWAA preferred).\nStrong proficiency in SQL (Postgres preferred) for complex transformations and performance tuning.\nExperience with Python / PySpark for ETL development.\nSolid understanding of event-driven data architecture and pipeline design.\nFamiliarity with AWS IAM, CloudWatch, and logging/monitoring frameworks.\nExperience with CI/CD pipelines (e.g., GitHub Actions) for deployment automation.\nPreferred Skills\nExperience with Terraform or infrastructure-as-code tools.\nKnowledge of data lake formats (Parquet, Iceberg, Delta).\nUnderstanding of data modeling, partitioning, and schema evolution.\nFamiliarity with AWS services such as Lake Formation, SNS, and CloudTrail.\nExposure to Snowflake or other data warehouse platforms is a plus.\nThe pay range that the employer in good faith reasonably expects to pay for this position is $39.86/hour - $62.29/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","datePosted":"2026-07-27T13:12:49.309Z","dateModified":"2026-07-27T13:12:49.309Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Mill","addressRegion":"SC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"60cd24e8045f11d87947a468"},"url":"https://jobsearcher.com/jobs/60cd24e8045f11d87947a468"}}