"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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
