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Added 1 hour ago
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(USA) Senior, Software Engineer
Walmart
SUNNYVALE, CA
- $117,000 to $234,000 USD / year
Integrate AI/ML components and leverage GenAI tools to enhance software intelligence and development efficiency.
Added 6 hours ago
SL
AI/ML Architect - Consultant / Senior Consultant (US - WEST)
Slalom, LLC
Denver, CO
- $142,000 to $173,500 USD / year
Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)
Added 7 hours ago
Forward Deployed Engineer
Arkham Technologies
Remote, United States
As a Forward Deployed Engineer, you help drive the AI transformation journey for our customers. You work hands-on across data science, AI architecture, and implementation, partnering…
Added 1 day ago
Senior Java Specialty Payments Software Engineer
Wells Fargo
BOSTON, MA
Wells Fargo is seeking a Senior Java Specialty Payments Software Engineer to join our Global Payments and Liquidity team to be part of the transformation initiative leveraging GenAI to…
Added 1 day ago
A
Principal Software Engineering
AT&T
Dallas, TX
- $174,100 to $261,100 USD / year
Prepare, transform, and engineer data for ML and GenAI use cases.
Added 1 day ago
Senior Machine Learning Engineer
Robert Half
Houston, TX
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer to join our high-impact data science team. This role offers the…
Added 1 day ago
Staff Engineer, Databricks Platform
Modernizing Medicine, Inc.
Boca Raton, FL
We are seeking a hands-on Senior/Staff Data Platform Engineer to own and evolve our established Databricks platform on AWS. The platform supports mission-critical data, analytics, and AI…
Added 1 day ago
Consultant - R01573317
Brillio
Remote, United States
Product Management: Senior Software Development Lead
Added 1 day ago
Senior Manager, AI Enablement Engineer
Scotiabank
Dallas, TX
The Senior Manager, AI Enablement Engineering leads AI adoption and delivery for a designated business area, owning the AI opportunity portfolio and translating business priorities into…
Added 1 day ago
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Senior Software Developer
TEKsystems
Fairfax, VA
- $70 to $80 USD / hour
Pyramid Systems is seeking a Senior Software Engineer / Developer AI to help drive the development and deployment of advanced AI-powered solutions supporting federal initiatives. This role…
Added 2 days ago
Senior Staff AI/ML Engineer, Cloud AI Research
Google
Mountain View, CA
Share Senior Staff AI/ML Engineer, Cloud AI Research
Added 2 days ago
Senior Software Engineer, AI/ML GenAI, Core
Google
Kirkland, WA
Share Senior Software Engineer, AI/ML GenAI, Core
Added 2 days ago
Senior Data Engineer, AWS Analytics Engineering
Amazon
Seattle, WA
We are seeking a Senior Data Engineer to join our team. This individual will own 3-5 data domains end-to-end, operate hundreds of pipelines, and drive architectural improvements that impact…
Added 2 days ago
Senior Data Engineer, AWS Analytics Engineering
Amazon
Seattle, WA
We are seeking a Senior Data Engineer to join our team. This individual will own 3-5 data domains end-to-end, operate hundreds of pipelines, and drive architectural improvements that impact…
Added 2 days ago
Senior Manager, Data Science
Nordstrom
Seattle, WA
We are looking for a Senior Manager of Data Science to lead and evolve a team of data scientists and ML operations engineers responsible for improving how customers discover and shop for…
Added 2 days ago
Senior Data Scientist - Personalization & Relevance
Nordstrom
Seattle, WA
We are looking for a Senior Data Scientist to advance the science behind personalization, recommendations, search, and browse relevance across our digital shopping experience.
Added 2 days ago
Senior Lead Software Engineer - AI/ML/Databricks/Python
JPMC page
Atlanta, GA · GA · Plano, TX
As a Senior Lead Software Engineer - AI/ML/Databricks/Python at JPMorganChase within the Consumer and Community Banking, you are an integral part of an agile team that works to enhance,…
Added 2 days ago
Senior Data Engineer - Data And AI
Digital Federal Credit Union
Chelmsford, MA
The Sr Data Engineer -Data and AI extends the core data engineering responsibilities by building cloud-native, reusable data products and AI-ready data capabilities. The role applies modern…
Added 2 days ago
Senior AI Engineer, Big Data & AI Solutions
Mastercard
O'Fallon, MO
As a Senior AI Engineer, you will work at the intersection of big data engineering and AI/ML, helping build and support the data, features, models, and production processes behind fraud…
Added 2 days ago
Principal Machine Learning Engineer
Cushman & Wakefield
Creve Coeur, MO
Reporting to the Senior Director, Data Science & AI, the Principal ML Engineer is expected to move fluidly across project/product teams - embedding in projects for days or months at a time…
Added 2 days ago
AI Agentic Engineer
FlightSafety International Inc
Seattle, WA
As an AI Agentic Engineer on the Platform AI Engineering team, you will drive the next wave of automation in IT operations by designing and deploying agentic AI solutions that proactively…
Added 2 days ago
Principal Machine Learning Engineer
Amgen
Washington D.C., DC
We are seeking a Principal Machine Learning Engineer - Amgen’s most senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI solutions.…
Added 2 days ago
IG
AI Engineer Architect / FDE (Prototype/POCs)
Insight Global
Chicago, IL
- From $94 USD / hour
2. Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
Added 2 days ago
IG
AI Engineer Architect / FDE (Prototype/POCs)
Insight Global
Chicago, IL
- From $94 USD / hour
2. Programming Skills: Expertise in Python and tools like Hugging Face, Langchain, and OpenAI API.
Added 3 days ago
W
Senior AI Engineer
Worldpac
Oakbrook, IL
- $150,000 to $195,000 USD / year

Amazon

Senior Data Engineer, AWS Analytics Engineering

Seattle, WA, United States

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Job details

Experience: 7+ years of data engineering experience
Posting language: English
Posted: Oct 15, 2026

Original job description

Description

The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services. Every insight surfaced to AWS product leadership, from service adoption trends to revenue drivers, flows through systems our team designs, builds, and maintains.

We operate at massive scale - processing petabytes of data daily through thousands of jobs consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. Our engineers work directly with source systems to procure data, convert it into structured formats, build large-scale processing pipelines, design analytical data models, and maintain infrastructure with the highest security and compliance standards.

We are seeking a Senior Data Engineer to join our team. This individual will own 3-5 data domains end-to-end, operate hundreds of pipelines, and drive architectural improvements that impact how AWS leadership makes decisions. You will partner with service teams across AWS to design data contracts, build ingestion flows, and deliver analytical models that serve the entire organization.

The ideal candidate is a technical leader who thrives in ambiguity, takes a long-term architectural view, and consistently delivers exemplary solutions. You are an expert with SQL, ETL, and data processing, with experience leveraging cloud-based data services such as AWS EMR, Glue, Redshift, and Lambda. The candidate should have hands-on experience with AI/ML technologies, including LLMs, and a strong understanding of designing and building Agentic Frameworks - including autonomous agents, multi-agent orchestration, and tool integration. You are comfortable with ambiguity in a fast-paced environment, able to think big while paying careful attention to detail, and passionate about building data platforms using AI to accelerate the next generation of analytics at AWS scale.

Key job responsibilities

Identify limitations and opportunities in data processing tools, drive improvements and innovation, define data processing guidelines, and ensure best practices in all pipelines designed and reviewed. For example: redesigning ingestion frameworks to handle new AWS service telemetry data, or building reusable transformation patterns adopted across multiple teams.

Define and own data architecture at the team level - ensuring architecture effectively matches business problems and data challenges with security, scalability, and cost effectiveness. Show good judgment making technical trade-offs between short-term technology needs and long-term business needs.

Produce exemplary code - solutions that are easily usable by customers, inventive, secure, easily maintainable, appropriately scalable, and extensible. Build solutions that are easy for others to contribute to. Work to simplify, optimize, and remove bottlenecks.

Define and own infrastructure architecture at the team level. Anticipate data management and access patterns, evolve the technology stack to remove bottlenecks, and deliver systems that are secure, scalable, and long lasting. Define team-level guidelines and best practices for infrastructure management and automation.

Solve complex ambiguous problems - for example, designing cross-domain data models that unify billing, usage, and service telemetry data, or combining multiple datasets to solve problems that couldn't be solved before. Spot areas that might lead to customer confusion, data misinterpretation, or gaps in data contracts.

Effectively split project work into parallel tasks that can be performed by themselves and others and reassembled successfully. Drive to completion projects with dependencies on peers or other teams.

Influence related teams' data architecture and software design. Provide technical assessments for promotions. Actively mentor and develop others. Build consensus when confronted with discordant views.

Drive data engineering best practices - Data Discovery, Naming Conventions, Operational Excellence, Data Security. Ensure team's data is auditable, available, and accessible.

Proactively fix data architecture deficiencies and propose larger projects which may require the work of other teams. Drive improvements through code review, design discussions, team planning, and operational reviews.

Participate in on-call rotation and own operational health of data systems - establish monitoring, alarming, runbooks, and SLA tracking. Drive continuous improvement in reliability and incident response.

Basic Qualifications

7+ years of data engineering experience
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Experience mentoring team members on best practices
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
Experience building data products incrementally and integrating and managing data sets from multiple sources
Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Experience with MPP databases such as Amazon Redshift
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience

Preferred Qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience operating large data warehouses
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
Experience delivering results for large, cross-functional initiatives/projects, or experience communicating results to senior leadership
Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry
Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with software development lifecycle

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, WA, Seattle - 154,600.00 - 209,100.00 USD annually

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More about this job

Skills

AWS
Google Analytics
Leadership
Data engineering
Incident response
Python
Oracle Java
Scala
Coaching
Data modelling
Amazon Redshift
Computer science
Statistics
Data warehouse
Reporting
SQL
Apache Hadoop
Apache Hive
Apache Spark
EMR
ML
Software development
Recruitment
Mental health

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