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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Data Engineer - **Company:** Cognizant Technology Solutions Corporation - **Location:** Boston, MA, United States (Remote available) - **Salary:** $95,000.0 - $115,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Cloud Computing, Cloud Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Python (Programming Language), SQL Databases, AWS Lambda, Cloudformation, Database Migration, Build Management, Infrastructure Automation Frameworks, AWS Glue, Data Analytics, AWS Data Analytics, Terraform, Serverless Computing, Amazon Redshift - **Published:** August 28, 2026 - **Apply:** https://www.bostonjobsite.com/job.asp?id=3367792994&tx=IT9184THV&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * Proven experience with AWS services: Glue, Lambda, Athena, Redshift, DMS. * Strong knowledge of Python , SQL , and data modeling. * Familiarity with Q Developer for analytics and dashboard development. * Understanding of cloud architecture best practices and security principles. * Excellent problem-solving and communication skills., * AWS Certified Solutions Architect or AWS Certified Data Analytics. * Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools like Terraform or CloudFormation . We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role ## Description We are seeking an experienced AWS Data Engineer to design, develop, and maintain cloud-based solutions leveraging AWS services. The ideal candidate will have hands-on expertise in data integration, serverless computing, and analytics, ensuring scalable and secure cloud architectures., * Design and implement ETL pipelines using AWS Glue for data transformation and integration. * Develop and manage serverless applications using AWS Lambda . * Optimize and execute SQL queries on large datasets using Amazon Athena . * Configure and maintain Amazon Redshift for data warehousing and analytics. * Perform database migrations and replication using AWS Database Migration Service (DMS) . * Build and deploy analytics solutions using Q Developer for business insights. * Ensure security, compliance, and cost optimization across AWS environments. * Collaborate with cross-functional teams to deliver cloud-based solutions aligned with business needs. Work model We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [30 powerful AWS hacks in just 30 minutes: Boost your developer productivity](https://www.wearedevelopers.com/videos/1624-30-powerful-aws-hacks-in-just-30-minutes-boost-your-developer-productivity) - [Tips, Techniques, and Common Pitfalls Debugging Kafka](https://www.wearedevelopers.com/videos/838-tips-techniques-and-common-pitfalls-debugging-kafka) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)