> Markdown version of [/jobs/ext/500575-sr-aws-data-engineer](https://www.wearedevelopers.com/jobs/ext/500575-sr-aws-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AWS Data Engineer - **Company:** Cognizant Technology Solutions Corporation - **Location:** Charlotte, NC, United States (Remote available) - **Experience:** Expert - **Salary:** $135,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Big Data, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Systems, Data Warehousing, Apache Hadoop, Python (Programming Language), Performance Tuning, Standard Sql, Data Streaming, Scripting, Apache Spark, Cloudformation, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Data Analytics, AWS Data Analytics, Data Management, Terraform, Data Pipelines - **Published:** June 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d62532bd79c16947 ## About the Role Do you have experience in System tuning?, * 10+ years of experience in data engineering, with strong hands-on expertise in AWS cloud-native data solutions. * Proficiency with core AWS data services: Glue, Redshift, Aurora, S3 (Data Lakes), Lambda, EMR (Spark/Hadoop), Athena, Kinesis (Streaming), and DMS. * Strong knowledge of SQL and data modeling concepts, including experience designing ETL/ELT pipelines and data transformation frameworks. * Experience with Python, PySpark, or similar scripting/programming languages for data engineering tasks. * Solid understanding of data migration, replication, database modernization strategies, and performance tuning for large-scale datasets. * Familiarity with data lake and data warehouse architectures and experience working in Agile delivery models. These Will Help You Stand Out * AWS certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect. * Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) for managing cloud data infrastructure. * Familiarity with data governance, data quality frameworks, and modern data mesh or lakehouse architectures. ## Description As a Sr. AWS Data Engineer, you will make an impact by designing, building, and optimizing cloud-native data solutions that power enterprise-scale analytics and data platforms. You will be a valued member of our Data Engineering team and work collaboratively with architects, data scientists, and business stakeholders to deliver robust, scalable pipelines and infrastructure on AWS., * Design and implement scalable ETL/ELT pipelines and data transformation frameworks using AWS-native services including Glue, EMR, Lambda, and Kinesis. * Architect and manage data lake and data warehouse solutions leveraging Amazon S3, Redshift, and Aurora to support large-scale analytical workloads. * Lead data migration, replication, and database modernization initiatives using AWS DMS and related tooling. * Develop and maintain workflow orchestration using Apache Airflow and perform performance tuning and optimization for large-scale datasets. * Partner with cross-functional teams in Agile delivery models to ensure data solutions align with business requirements and architectural standards. 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 in the United States. 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. What You Need to Have to Be Considered ## 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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## 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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Got AI ideas but no money? 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