Skip to main content

AI Data Engineer

00071290691

About the role

As an AI Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-native data engineering solutions that enable advanced AI-driven applications and business outcomes. You will be a valued member of our engineering team and collaborate closely with data engineers, software engineers, architects, product owners, and business stakeholders to deliver innovative solutions across the AWS ecosystem.

In this role, you will:

  • Design, develop, and support scalable data pipelines, data integrations, and processing solutions using modern cloud-native technologies.
  • Build production-grade Python applications, scripts, and AWS Lambda functions that integrate with enterprise platforms, APIs, and AWS services.
  • Develop and enhance data platforms leveraging technologies such as AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, and Snowflake.
  • Translate business and technical requirements into engineering specifications, technical designs, and measurable acceptance criteria.
  • Review, validate, test, debug, and optimize AI-generated code while applying engineering best practices throughout the software development lifecycle.

Work model

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants. 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

  • Strong hands-on Python development experience with demonstrated success delivering production-quality code.
  • Proven data engineering experience building, deploying, and supporting scalable data pipelines and processing solutions.
  • Hands-on expertise with AWS services and cloud-native data engineering architectures.
  • Experience working with one or more of the following technologies: AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, or Snowflake.
  • Experience using AI-assisted development tools such as Claude Code, Kiro, or similar technologies to accelerate software engineering while maintaining engineering rigor.
  • Ability to convert business requirements into technical specifications, solution designs, and acceptance criteria.
  • Experience reviewing, testing, debugging, and optimizing AI-generated code before production deployment.
  • Hands-on experience developing AWS Lambda functions using Python and integrating them with AWS services.

These will help you stand out

  • Experience with Kiro, including specification-driven development approaches.
  • Practical experience using Claude Code for software engineering or data engineering initiatives.
  • Knowledge of Model Context Protocol (MCP) and MCP-based integrations.
  • Experience implementing automated testing frameworks, CI/CD pipelines, deployment automation, and code-quality controls.
  • AWS certifications such as AWS Certified Data Engineer, AWS Certified Developer, or AWS Certified Solutions Architect.
  • Working knowledge of TypeScript.
  • Understanding of agentic AI engineering concepts, including agents, tools, memory, workflow orchestration, and human-in-the-loop patterns.

Preferred differentiators

Candidates will stand out if they have experience with:

  • Agent development frameworks such as Strands Agents SDK or similar agentic AI platforms.
  • Designing and implementing MCP servers, tools, and integrations.
  • Creating reusable engineering standards, development patterns, specifications, and governance practices for AI-assisted development.
  • Building agentic workflows and orchestration solutions that interact with AWS services, enterprise systems, APIs, and data platforms.
  • Applying AI-assisted engineering throughout the software development lifecycle, from requirements definition and code generation to testing, deployment, and operational support.

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 November 29, 2026

The annual salary for this position is between $ 100,000 - $ 115,000 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, provincial or local laws.

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 icon

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.

Stay Healthy Midnight Blue RGB

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. 

Build The Career You Want Midnight Blue RGB

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.

Making A Meaningful Impact Midnight Blue RGB

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.

a person sitting at a desk typing on a laptop

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.

a person holding a tablet and talking on the phone

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.

a person and person standing in front of a window

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.

a group of people sitting around a table

Step 4: Decision time

Our team will then review each candidates’ 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.

a person in a white suit
The mentors I've had at Cognizant have shown me what a true leader looks like. Now, building my own team and watching them grow into confident trainers is what I'm most proud of.
Michael Florida FinTech Training Manager
APJ Dez
Cognizant has given me the opportunity to thrive as a leader and as a person. The culture of recognition, the great benefits and the sense of community motivate me, and I strive to give my best every day.
Decree Olam Team Leader - Intuitive Operations & Automation
a person holding a plaque
I never expected my Cognizant career to include launching our first satellite office in a tier 2 city, but that's the kind of opportunity working here makes possible!
Lea Judilla Dumaguete Site Lead

Haven't yet found the right opportunity?

Receive the latest updates on job opportunities, recruitment events and company news—tailored just for you!

Get the latest updates