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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Engineer - **Company:** SGA Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Amazon S3, Cloud Computing, Cloud Engineering, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Identity and Access Management, Python (Programming Language), Machine Learning, Meta-Data Management, MySQL, Performance Tuning, Systems Development Life Cycle, Cloud Services, Software Deployment, SQL Databases, Cloud Platform System, Data Ingestion, Sql Optimization, HybridCloud, Git, Cloudformation, Amazon Relational Database Service, Pyspark, AWS Glue, Data Analytics, AWS Data Analytics, Data Management, Terraform, Data Pipelines, Amazon Redshift - **Published:** August 5, 2026 - **Apply:** https://www.dice.com/job-detail/340afa62-89d3-4a83-8f1c-abb58ab1724b ## About the Role * 5+ years of hands-on AWS Data Engineering experience building enterprise cloud-native data platforms. * Strong hands-on experience designing, building, and supporting AWS Data Lake solutions utilizing Amazon S3, AWS Glue, Athena, Glue Data Catalog, and Lake Formation. * Strong experience developing ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, EMR, PySpark, and related AWS technologies. * Strong Aurora MySQL and/or AWS RDS MySQL database engineering experience, including performance tuning, backup/recovery, replication, monitoring, and SQL optimization. * Strong proficiency in Python and SQL for data engineering, automation, and complex data transformations. * Experience designing cloud-native data lake and data warehouse architectures. * Experience implementing Infrastructure-as-Code using Terraform and/or CloudFormation. * Experience developing and supporting Git-based CI/CD pipelines. * Experience implementing data governance, metadata management, lineage, and cataloging using AWS-native services. * Strong understanding of AWS Cloud architecture, security, IAM, monitoring, and automation best practices. * Excellent analytical, troubleshooting, collaboration, and communication skills. Preferred Skills * Financial services industry experience. * Experience with Amazon Redshift or other enterprise data warehouse technologies. * Experience with SageMaker or machine learning data pipelines. * AWS Certifications (Data Analytics Specialty, Solutions Architect Associate/Professional, or equivalent). ## Description The Senior AWS Data Engineer will design, build, and optimize cloud-native data platforms and AWS Data Lake solutions supporting enterprise-scale data workloads. This individual will work closely with data engineers, software engineers, architects, and business stakeholders to deliver secure, scalable, and highly available data solutions leveraging AWS native services., * Design, build, and support enterprise-scale AWS Data Lake solutions utilizing Amazon S3, AWS Glue, Athena, Glue Data Catalog, and Lake Formation. * Design, develop, and optimize scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, EMR, PySpark, and related AWS services. * Design and support cloud-native data lake and data warehouse architectures for enterprise analytics and reporting. * Engineer, administer, and optimize Aurora MySQL and AWS RDS database environments, including performance tuning, backup and recovery, replication, monitoring, and SQL optimization. * Develop Python-based automation for data ingestion, transformation, monitoring, and operational support. * Build and maintain Infrastructure-as-Code deployments using Terraform and/or CloudFormation. * Develop and support Git-based CI/CD pipelines for AWS data platform deployments. * Implement data governance, metadata management, lineage, cataloging, and security controls using AWS Glue Data Catalog, Lake Formation, and related AWS services. * Collaborate with architects and engineering teams to define scalable data models, ingestion patterns, and cloud data platform best practices. * Monitor production environments, troubleshoot complex issues, and drive continuous improvements in automation, performance, scalability, and reliability. * Participate throughout the SDLC including design, development, testing, deployment, and production support. * Participate in scheduled after-hours deployments and production support as required. * Ensure compliance with enterprise security, governance, and cloud operational standards. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Got AI ideas but no money? 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