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Data Scientist V
TEKsystems
Menlo Park, CA
- $80 to $90 USD / hour
You will work closely with a Senior data engineer to turn the measurement strategy into scalable data models, dashboards, and reporting. The ideal candidate has a product analytics…
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Network Implementation Engineer
Meta
Menlo Park, CA
…own-build terrestrial fiber capacity. The Network Implementation Engineer is responsible for overall implementation, deployment and technical delivery of Greenfield & Brownfield fiber…
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Software Engineer - Traffic Capacity & Performance
Meta
Menlo Park, CA
Software Engineer - Traffic Capacity & Performance Responsibilities:
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Senior Lead Software Engineer - Agentic AI SRE Platform
JPMorgan Chase
Palo Alto, CA
As a Senior Lead Software Engineer at JPMorganChase within the AI/ML Data Platforms organization, you will lead the architecture and development of production-grade agentic AI and…
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Senior Lead Software Engineer- AI/ML Training Infrastructure
JPMorgan Chase
Palo Alto, CA
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector, Infrastructure Platforms team, you will play a critical role in designing, building, and operating secure,…
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Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Amazon
Cupertino, CA
You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the…
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Product RF Engineer
TEKsystems
Cupertino, CA
- $60 to $75 USD / hour
We are seeking a skilled RF Engineer to join our team in Cupertino. As part of our team, you will be responsible for executing RF characterization, conducting OTA antenna measurements,…
Added 1 min ago
Senior Network Engineer, Robotics, Enterprise Engineering, DeepMind
Google
Mountain View, CA
Share Senior Network Engineer, Robotics, Enterprise Engineering, DeepMind
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ECAD Application Development Engineer, Design Technologies
Amazon
Sunnyvale, CA
Amazon Lab126 is an inventive research and development company that designs and engineer’s high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc.,…
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Materials Scientist – ALD Coating Technology
Applied Materials
Santa Clara, CA
As a Process Engineer, you'll play a crucial role in designing and optimizing manufacturing processes for display and semiconductor manufacturing technologies. You will collect and analyze…
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Senior Software Development Engineer in Test, Confidential Computing - SDET
Nvidia
Santa Clara, CA
We are looking for Senior Software Development Engineer in Test to join our Confidential Computing team for NVIDIA's Enterprise SWQA team. Are you passionate about new feature development,…
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SDE II EC2 Nitro, EC2 Nitro
Amazon
Santa Clara, CA
The EC2 Nitro local storage team is seeking an experienced Software Development Engineer to build virtualized, hardware-accelerated solutions for EC2 disk instances at global scale. Our…
Added 1 min ago
Product Safety Engineer III (E3)
Applied Materials
Santa Clara, CA
Product Safety Engineer (E3) POSITION SUMMARY Product Safety Engineer supports the design, evaluation, and compliance of Applied Materials products to ensure compliance with company,…
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Mixed Signal Design Engineer - New College Grad 2026
Nvidia
Santa Clara, CA
…team and help move the needle! We are looking for a senior engineer to be part of the mixed-signal design team building next generation NVLINK. This position offers the opportunity to have…
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Senior Technical Product Manager, Infrastructure Resilience
Nvidia
Santa Clara, CA
Hands-on experience as a site reliability or infrastructure engineer supporting GPU clusters. You have triaged workload failures, interpreted XID logs, and worked across teams to…
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Deep Learning Hardware Engineer
Intel
Santa Clara, CA
- $149,750 to $240,710 USD / year
Intel's Client AI Architecture team is seeking an Deep Learning Hardware Engineer to help shape future generations of Intel's Neural Processing Unit (NPU) architecture for AI PCs, Edge AI,…
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Silicon Product Engineer – Manufacturing
Nvidia
Santa Clara, CA
We are hiring a Silicon Product Engineer – Manufacturing to join our Testability, Manufacturability, Reliability & Quality (TMRQ) team. In this role, you will help validate and implement…
Added 1 min ago
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Application Engineer
Cadence Design Systems, Inc.
San Jose, CA
- $157,500 to $292,500 USD / year
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PCB HW Design Engineer
Broadcom
Irvine, CA · San Jose, CA
Added 1 min ago
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HVAC Engineer
CBRE
San Jose, CA
- $45 to $65 USD / hour
As a CBRE HVAC Engineer, you will be responsible for maintaining mechanical and electrical equipment for complex commercial HVAC systems by conducting proactive performance testing and…
Added 1 min ago
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Machine Learning Senior Software Engineer
Akamai Technologies, Inc.
Sacramento, CA
- $121,400 to $218,600 USD / year
As an ML Senior Software Engineer, you will build and operate systems responsible for model validation, quantization, and safety across the AIC. You'll develop pipelines that scan models…
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AI Manager/Lead - Lead Data Engineer II
Deloitte
Sacramento, CA
As a Lead Data Engineer II on the AI & Engineering team, you will be responsible for:
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Senior Software Engineer
Akamai Technologies, Inc.
Sacramento, CA
- $121,400 to $218,600 USD / year
As a Software Engineer Senior, you will be responsible for:
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Java Full Stack Engineer with Spring boot/AWS Experience
Cognizant
Sacramento, CA
- $86,000 to $99,000 USD / year
As a Java Full Stack Engineer with Spring boot/AWS exp, you will make an impact by designing and delivering scalable, cloud-native healthcare payer applications that improve payment…
Added 1 min ago
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AI Data Engineer
Cognizant
Sacramento, CA
- $100,000 to $115,000 USD / year
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…

Closed listing

Cognizant

AI Data Engineer

Salt Lake City, UT, United States

$100,000 to $115,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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Job details

Pay: $100,000 to $115,000 USD / year
Posting language: English
Posted: Nov 6, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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