Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
Full time
Hybrid model
Washington, DC
The Data Engineer in this role will support programs involving one or more of the following:
responsible for building persistent cloud data pipelines, integrating microservices, and structuring data to power Amazon OpenSearch, Amazon Neptune (Knowledge Graphs), and Amazon SageMaker for advanced analytics.
2. Scope of Work
2.1 Pipeline Development and Implementation
· Build continuous, event-driven streaming pipelines using Amazon EventBridge and SQS.
· Orchestrate complex ELT transformations using EKS and Databricks.
· Develop automated data feeds for the enterprise data platform and downstream applications.
2.2 Solution Design and Optimization
· Design and populate graph data models for Amazon Neptune to support entity relationship tracking.
· Build and optimize vector indexes for Amazon OpenSearch to power the platform's AI/ML and RAG Q&A capabilities.
· Ensure real-time or near-real-time data latency targets are met for operational dashboards.
2.3 Stakeholder Engagement and Change Management
· Partner directly with AI/ML Data Scientists to ensure data is properly curated, partitioned, and served for real-time model inference.
· Support front-end developers by building reliable, performant data APIs.
· Present pipeline architectures during technical reviews.
2.4 Governance, Ethics, and Risk
· Implement fine-grained, row-level Access Control to secure sensitive procurement data.
· Set up Amazon CloudWatch and Dynatrace for continuous pipeline monitoring, alerting, and telemetry.
· Ensure data served to AI models is clean and unbiased according to institutional guidelines.
2.5 Documentation and Reporting
· Maintain architectural diagrams for streaming data flows.
· Write API endpoint documentation and AI data prep runbooks.
3. Required Qualifications and Experience
3.1 Education
· Bachelor’s or Master’s in Computer Science, Data Engineering, or a related quantitative field.
3.2 Certifications (Preferred)
· AWS Certified Data Engineer – Associate or Microsoft Certified Azure Data Engineer. OR AWS ML Specialty
3.3 Mandatory Experience
· 5+ years building continuous data pipelines, real-time streaming architectures, and preparing data for machine learning workflows.
3.4 Technical Knowledge
· Expert SQL and Python.
· Deep expertise in AWS ecosystem (EKS, Lambda, SQS, OpenSearch, Neptune, Bedrock) and Apache Spark/Databricks.
3.5 Core Competencies
· Strong architectural mindset, capability to handle hight-veolocity data, and enthusiasm for integrating foundational AI/ML services.
Roles and Responsibilities
Application Accepted: 7/30/2026
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Salary and Other Compensation:
The annual salary for this position is between $125,000 - $140,000 depending on experience and other qualifications of the successful candidate
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 la
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
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。
