Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Sr. AWS Data Engineer
About the Role
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.
In This Role, You Will:
• 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
• 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.
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.
Salary and Other Compensation
Applications will be accepted until June, 26.2026
The annual salary for this position is between $135,000- $180,000 USD depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
