Jobs in the United States

25+ jobs

Save this search

Added 2 mins ago
Junior AI Engineer
Ultimus Fund Solutions
Columbus, OH · Omaha, NE · Cincinnati, OH · Denver, CO · Philadelphia, PA · Clifton Park, NY · Milwaukee, WI
The Junior AI Engineer will assist in the development and maintenance of enterprise AI infrastructure. The role will partner with senior engineers to build data pipelines, deploy models,…
Added 2 mins ago
Senior AI Engineer
Ultimus Fund Solutions
Columbus, OH · Omaha, NE · Cincinnati, OH · New York, NY · Minneapolis, MN · Philadelphia, PA · Clifton Park, NY · Milwaukee, WI
The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise AI models - from data pipeline architecture to deployment and monitoring. The role will partner with AI Data…
Added 2 mins ago
Electronic Warfare Engineer
SRC, Inc
San Antonio, TX
MATLAB, Python and other software-based simulation experience
Added 2 mins ago
Electronic Warfare Engineer
SRC, Inc
San Antonio, TX
MATLAB, Python and other software-based simulation experience
Added 5 mins ago
MI
Senior Software Engineer
Maxar Intelligence I
Westminster, CO
- $128,000 to $170,000 USD / year
Professional experience with one or morescriptingprogramming languages such as Python, JavaScript, TypeScript, or similar.
Added 6 mins ago
Junior Software Development Engineer in Test
Intercontinental Exchange Holdings, Inc.
Atlanta, GA
As a Junior Software Development Engineer in Test, you will work with Systems Analysts and Development Teams to understand business/product and system requirements. You will create,…
Added 8 mins ago
Entry-Level Software Engineer/Analyst
Aurex
Huntsville, AL
Aurex is seeking an Entry-Level Software Engineer and Analyst to provide software development, analysis, and modeling and simulation support across a range of engineering projects. The work…
Added 8 mins ago
CP
Enterprise Applications AI Integration Engineer
Colorado Public Employees' Retirement Association
Denver, CO
- $110,000 to $135,000 USD / year
The Enterprise Application AI Integrations Engineer works in partnership with the AI Architect and Enterprise Applications leadership to implement approved AI solutions and integrations…
Added 10 mins ago
Senior Software Engineer, AI/ML GenAI, Core
Google
Kirkland, WA
Share Senior Software Engineer, AI/ML GenAI, Core
Added 10 mins ago
Software Development Manager, Flight Software, Amazon Leo, Amazon Leo - Avionics End Point and FDIR
Amazon
Redmond, WA
…optimized, fault-tolerant software written in C++, Rust, and Python. Beyond the software running on the satellite itself, you will own the strategy and execution of a framework to detect,…
Added 11 mins ago
BI Engineer, AWS Finance, Analytics and Science Team
Amazon
Seattle, WA
…creative, analytical, and enthusiastic Business Intelligence Engineer to join…
Added 11 mins 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 11 mins ago
Business Intelligence Engineer, AWS Finance, Analytics and Science Team
Amazon
Seattle, WA
…creative, analytical, and enthusiastic Business Intelligence Engineer to join…
Added 11 mins 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 11 mins 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 11 mins ago
Senior Manager, Data Science
Nordstrom
Seattle, WA
Hands-on comfort with Python and SQL and working with large-scale data (e.g., BigQuery), enough to read, review, and guide the team's code and outputs. Familiarity with open-source AI…
Added 11 mins ago
Senior Data Scientist - Personalization & Relevance
Nordstrom
Seattle, WA
Strong Python and SQL skills, including working with large-scale data (e.g., BigQuery).
Added 11 mins ago
Software Engineer III, AI/ML GenAI
Google
Kirkland, WA · Seattle, WA
2 years of experience programming in Python or C++.
Added 11 mins ago
PW
Lead Software Engineer - Validation Solutions, Automation & Analytics
Paccar Winch Inc.
Mount Vernon, WA
- $104,100 to $162,900 USD / year
Lead Software Engineer - Validation Solutions, Automation & Analytics Apply now »
Added 11 mins ago
EG
Staff AI & Data Engineer – Databricks
Eliassen Group
Olympia, WA
- $80 to $90 USD / hour
Our client is seeking a highly experienced Staff AI & Data Engineer to design and build enterprise-grade data and AI solutions on Databricks. This hands-on role focuses on strengthening the…
Added 16 mins ago
A
Systems Engineer/analyst
Actalent
Houston, TX
- $50 to $70 USD / hour
Job Title: Systems Engineer / AnalystJob DescriptionThis role focuses on implementing integrated system performance analysis metrics and transforming complex test data into meaningful…
Added 16 mins ago
A
Test Engineer
Actalent
Burnsville, MN
- $38 to $47 USD / hour
Job Title: Test EngineerJob DescriptionThe Test Engineer performs end-to-end test engineering activities across all product test stages, from requirements definition and test planning to…
Added 17 mins ago
Senior Forward Deployed Engineer (FDE Lead
ewminds consulting Services
East Pittsburgh, PA
Proficiency in one or more of: Java, Python, JavaScript/TypeScript
Added 20 mins ago
AI Enablement Engineer
Revalize
Remote, United States
The AI Enablement Engineer will help build, deploy, and support production AI tools, agents, and workflows used across Revalize. Working closely with business stakeholders and senior…
Added 20 mins ago
Reliability Test Engineer
Base Power Company
Austin, TX
Base is hiring a Reliability Test Engineer to find the limits of our hardware before the field does. You'll design and build test setups, automate them, run electrical, mechanical, and…

Amazon

Senior Data Engineer, AWS Analytics Engineering

Seattle, WA, United States

Apply About employer

Applications open in a new tab.

Job details

Experience: 7+ years of data engineering experience
Posting language: English
Posted: Oct 14, 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

Apply About employer

Report this job