"Please note, this role is not able to offer visa transfer or sponsorship now or in the future."
About the role
As an AWS Data Engineer, you will make an impact by designing and delivering modern, scalable, and cost-efficient cloud-based data platforms that enable organizations to unlock the full value of their data. You will serve as a key technical leader, translating complex business requirements into enterprise-grade AWS solutions while driving engineering excellence across data modernization initiatives.
You will be a valued member of the Data & Analytics team and work collaboratively with solution architects, engineering teams, client stakeholders, product owners, and delivery leadership.
In this role, you will:
- Define and lead the architecture of enterprise data platforms, including data ingestion, storage, processing, integration, and analytics solutions.
- Design, develop, and oversee scalable data transformation frameworks using Python, PySpark, Apache Airflow, and AWS-native services.
- Lead large-scale cloud migration and modernization initiatives, leveraging AWS DMS and schema conversion tools to transition legacy environments to cloud-native architectures.
- Drive performance, scalability, reliability, and cost optimization across AWS data ecosystems, including Redshift, Athena, EMR, and related services.
- Partner with client architects, business stakeholders, and cross-functional teams to guide technical strategy, conduct architecture and code reviews, and ensure successful project delivery in complex enterprise environments.
Work model: Remote
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this position is remote.
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
- Extensive experience architecting and implementing enterprise-scale data platforms on AWS.
- Deep expertise with AWS services including Glue, Redshift, Aurora, EMR, S3, Athena, Kinesis, Lambda, and related data technologies.
- Advanced proficiency in SQL, data modeling, Python, and PySpark for developing production-grade data pipelines and analytics solutions.
- Hands-on experience designing, implementing, and managing complex workflows using Apache Airflow.
- Proven success delivering large-scale database modernization and cloud migration programs.
- Strong understanding of data lake, data warehouse, and modern data architecture patterns.
- Experience leading technical teams in Agile delivery environments and mentoring engineers.
- Excellent stakeholder management and communication skills, with the ability to engage client architects and senior technical leaders.
These will help you stand out
- Experience optimizing performance and cost efficiency across large AWS data environments.
- Expertise with Spark and Hadoop ecosystems on Amazon EMR.
- Experience working within multi-vendor technology delivery environments.
- Knowledge of enterprise governance, data quality, security, and compliance best practices.
- AWS Certifications such as AWS Certified Solutions Architect, AWS Certified Data Engineer, or related credentials.
- Proven ability to influence technical strategy from solution design through production deployment.
We're excited to meet people who share our passion for innovation 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 perspectives to this role.
Salary and Other Compensation:
Applications will be accepted until August 3, 2026.
The annual salary for this position is between $105,000 - $120,000 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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.
