"Please note, this role is not able to offer visa transfer or sponsorship now or in the future."
About the role
As a Data Engineer, you will make an impact by designing, developing, and optimizing scalable cloud-based data solutions that power enterprise analytics and business decision-making. You will be a valued member of the Data Engineering team and work collaboratively with architects, developers, analysts, business stakeholders, and cross-functional technology teams to build modern data platforms and services.
In this role, you will:
- Design, develop, and maintain scalable data pipelines that integrate data from multiple sources into enterprise data platforms hosted on AWS.
- Build and optimize ETL/ELT workflows using AWS services, Python, SQL, and cloud-native technologies to support high-volume data processing.
- Develop and maintain secure, scalable APIs and data services that enable efficient access to business-critical data.
- Support the modernization and migration of legacy data platforms and processes into cloud-based architectures.
- Implement data quality controls, performance optimization, automation, and CI/CD best practices across data engineering solutions.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2 days a week in a client office in Charlotte, NC. 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
- Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.
- 8+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
- Strong hands-on experience with Python, SQL, and database development in Oracle and MySQL environments.
- Experience designing and supporting cloud-based data solutions using AWS services such as Lambda, EMR, Fargate, and CloudFormation.
- Experience with Amazon Aurora and modern data warehouse platforms such as Snowflake.
- Proven expertise in building and maintaining ETL/ELT pipelines and data integration frameworks.
- Experience developing REST APIs and data services within enterprise environments.
- Knowledge of DevOps practices and tools including Jenkins, JIRA, and CI/CD pipelines.
- Strong understanding of data modeling, data quality, performance tuning, and optimization techniques.
- Excellent communication, collaboration, analytical, and problem-solving skills.
These will help you stand out
- Experience migrating legacy data platforms and ETL solutions, including DataStage, to cloud-native architectures.
- Familiarity with Birst analytics solutions and enterprise reporting platforms.
- Experience with Syncsort or similar data transformation and enrichment tools.
- Knowledge of data governance, security, encryption, and compliance best practices.
- Experience working within Agile delivery environments.
- AWS certifications or other cloud-related credentials.
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 August 24th, 2026.
The annual salary for this position is between $108,000 - $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] with your request and contact information.
