Tech Stack
Job Description, Responsibilities & Requirements
About the Position
SR AI Data Migration Engineer- Onsite
00069581641
- Date published: Jul 02 2026
- Location: Washington, DC-K St N.W. / United States
- Job category: Digital
- Work model: Hybrid
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.
Responsibilities
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.
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.
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.
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.
Documentation and Reporting
- Maintain architectural diagrams for streaming data flows.
- Write API endpoint documentation and AI data prep runbooks.
Requirements
Education
- Bachelor’s or Master’s in Computer Science, Data Engineering, or a related quantitative field.
Certifications (Preferred)
- AWS Certified Data Engineer – Associate or Microsoft Certified Azure Data Engineer. OR AWS ML Specialty
Mandatory Experience
- 5+ years building continuous data pipelines, real-time streaming architectures, and preparing data for machine learning workflows.
Technical Knowledge
- Expert SQL and Python.
- Deep expertise in AWS ecosystem (EKS, Lambda, SQS, OpenSearch, Neptune, Bedrock) and Apache Spark/Databricks.
Core Competencies
- Strong architectural mindset, capability to handle high-velocity data, and enthusiasm for integrating foundational AI/ML services.
We Offer
- Compensation: The annual salary for this position is between $125,000 - $140,000 depending on experience and other qualifications of the successful candidate.
- Benefits:
- 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
About the Company
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 follow us on Twitter.
Additional 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.
Apply Now
If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
Benefits that help you thrive and grow
Our benefits program is built with you in mind-so you can enjoy a fulfilling, balanced and healthy life.
Financial wellbeing
We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.
Physical and mental health
We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more.
Your career, your way
With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations-and build the skills you need to grow your career.
Real-world impact
Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.
Your path to Cognizant
Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.
Step 1: Apply to the right opportunity
Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.
Step 2: Connect with your recruiter
If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.
Step 3: Show off your skills
If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.
Step 4: Decision time
Our team will then review each candidate’s potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us-but you can count on us to keep you updated.
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