business intelligence engineer, aws support s&o - esso - strategy, planning & inspection (spi)

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business intelligence engineer aws support s o esso strategy planning inspection spi

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Enterprise Support Strategy and Ops is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.<br>
<br>
Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? Enterprise Support is hiring!<br>
<br>
You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root, stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area, you understand data resources and know how, when, and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems, you develop analyses (whether fully formed or exploratory) for the business&rsquo; sake, not for analyses&rsquo; sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value.<br>
<br>
You will own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Redshift, Quicksights, etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure critical metrics.<br>
<br>
<br>
Key job responsibilities<br>
<ul><li>Build dashboards that enable business insights and support business review mechanisms, including building and designing back end architecture, data models, ELT jobs, etc as needed</li><li>Work with business stakeholders to define business problems and deliver minimum lovable products in days and weeks</li><li>Deliver dashboards, analysis, and develop predictive models in an Agile development environment</li><li>Collaborate with business analysts, data engineering peers, Business Operations, finance, and internal customers to deliver scalable consumption of analytics insights and statistics</li><li>Support the analytical needs of the team inclusive of routine reporting, statistical inference, predictive modeling, simulation, and visualization</li><li>Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement</li><li>Retrieve and analyze data from database tables (ex. Redshift, Oracle), and learn and understand a broad range of Amazon&rsquo;s data resources and know how, when, and which to use and which not to use</li><li>Analyze volumes of data to find the root causes behind variances and drive insights</li><li>Build new analytical tools, interfacing with business and technical stakeholders</li><li>Develop models and metrics providing insights on customer experience and business performance
</li></ul><br>
About the team<br>
Why AWS?<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
About AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree</li><li>1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)</li><li>Experience with scripting language (e.g., Python, Java, or R)</li><li>Experience with data querying or modeling with SQL</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or above in statistics, business analytics, data analytics, data science, computer science or related field</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, TX, Dallas - 82,300.00 - 144,000.00 USD annually<br>
USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually</div><p></p>

Business Intelligence Engineer, AWS Support S&O - ESSO - Strategy, Planning & Inspection (SPI)

<div>Overview:
<div>
QXO is the fastest growing publicly traded distributor of building products in North America. The company is executing its strategy to become the tech-enabled leader in the $800 billion building products distribution industry and generate outsized value for its shareholders. QXO expects to achieve its target of $50 billion in annual revenues within the next decade through accretive acquisitions and organic growth.</div>
What you will do::
<div><b>
Modeling &amp; Research</b></div><div>
Depending on your expertise, you may focus on some of the following:</div><ul><li>Forecasting</li></ul><div>
o Build and productionize time series models for demand, sales, and inventory (e.g., hierarchical forecasting, intermittent demand, seasonality/trend modeling, multivariate forecasting).</div><div>
o Develop approaches to handle sparse, volatile, and evolving data environments.</div><ul><li>Pricing &amp; Revenue</li></ul><div>
o Develop pricing models and policies, including elasticity estimation, margin optimization, and discounting/contract structures.</div><div>
o Support pricing for quotes and BOMs, including guardrails, risk/margin checks, and complex B2B rules around bundling and substitution.</div><ul><li>Supply Chain &amp; Inventory</li></ul><div>
o Design models for inventory planning, replenishment, and allocation under real-world constraints (lead times, MOQs, service levels).</div><div>
o Build tools to improve fill rates, reduce stockouts, and manage working capital.</div><div>
o Formulate and solve optimization problems (linear, mixed-integer, non-linear, heuristics/approximation) for routing, allocation, capacity, and network flows.</div><div>
o Integrate optimization with forecasting/pricing models to support end-to-end decisions.</div><div>
Across all areas, you&rsquo;ll:</div><div>
o Combine statistical methods, machine learning, and operations research techniques as appropriate.</div><div>
o Stay current on relevant research and bring practical, scalable methods into production.</div><div><b>
Decision Systems &amp; Product Integration</b></div><div>
o Translate messy business problems into clear technical formulations and evaluate alternative approaches.</div><div>
o Work with engineers to turn models into robust services powering internal tools, APIs, and AI agents (e.g., quoting &amp; BOM agents, pricing copilots, supply planning tools).</div><div>
o Build or contribute to simulation and scenario analysis frameworks to test policies before rollout.</div><div>
o Define and implement offline and online evaluation (experiments, policy evaluation, counterfactual analysis).</div><div><b>
Data, Measurement &amp; Experimentation</b></div><div>
o Partner with data engineering to ensure data quality, structure, and accessibility for modeling.</div><div>
o Define metrics for your domain (forecast accuracy, stockouts, margin impact, quote win rates, price realization, etc.).</div><div>
o Design experiments and quasi-experiments to measure the business impact of new models and policies.</div><div>
o Clearly communicate findings, trade-offs, and recommendations to stakeholders.</div><div><b>
Collaboration &amp; Leadership</b></div><div>
o Work closely with Sales, Marketing, Supply Chain, Finance, and Product teams to understand constraints, workflows, and incentives.</div><div>
o Collaborate with AI Engineers who will embed your models inside intelligent agents and applications.</div><div>
o Mentor other scientists and engineers; elevate standards around methodology, code quality, and evaluation.</div><div>
o Influence roadmap and strategy by highlighting long-term modeling opportunities and risks.</div>
What you will bring::
<div><b>
Required</b></div><ul><li>
7+ years of experience in Applied Science / Data Science / Quantitative Research, with a strong record of shipping models into production.</li><li>
Deep expertise in one or more of the following:</li><li>
Time series forecasting</li><li>
Pricing &amp; revenue management</li><li>
Supply chain / inventory / logistics modeling</li><li>
Operations research / mathematical optimization</li><li>
Strong proficiency in Python and scientific computing libraries (NumPy, pandas, etc.).</li><li>
Solid SQL skills and experience working with modern data warehouses/lakehouses.</li><li>
Hands-on experience designing experiments, analyzing results, and working with ambiguous real-world data.</li><li>
Excellent communication skills and demonstrated ability to lead projects spanning multiple teams.</li></ul><div><b>
Preferred</b></div><ul><li>
Prior experience in retail, B2B distribution, manufacturing, or the building materials / construction industry.</li><li>
Experience with revenue management, discounting, and contract/pricing architectures.</li><li>
Experience with supply chain planning systems (MRP/DRP, S&amp;OP) and operational constraints.</li><li>
Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow, JAX).</li><li>
Experience integrating models with downstream applications or AI agents, including considerations for latency, reliability, and interpretability.</li><li>
Experience with large-scale or distributed data/compute systems and ML platforms (MLOps, feature stores, model registries, CI/CD for models).</li><li>
Advanced degree (MS or PhD) in a quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, or a related discipline.</li></ul>
What you will earn::
<ul><li>Base pay range: $191,000 - $345,000</li><li>
Annual performance bonus</li><li>
Long term incentive (equity/stock)</li><li>
401(k) with employer match</li><li>
Medical, dental, and vision insurance</li><li>
PTO, company holidays, and parental leave</li><li>
Paid Time Off/Paid Sick Leave: Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service.</li><li>
Paid training and certifications</li><li>
Legal assistance and identity protection</li><li>
Pet insurance</li><li>
Employee assistance program (EAP)</li></ul><div></div><div><b><br>
QXO is an Equal Opportunity Employer.</b> We value diversity and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status.</div><div></div><div><br>
To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.</div><div></div><div><br>
Please contact careers@QXO.com if you have any questions related to this job posting.</div>
Pay Range: USD $191,000.00 - USD $345,400.00 /Yr.</div>

Staff Applied Scientist

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you a tech-savvy storyteller who can translate complex cloud solutions into compelling customer value? At AWS, we're seeking a Product Marketing Manager who can shape the future of cloud computing.
<br>
<br>
As part of the digital sovereignty marketing team, you'll drive go-to-market strategy for the AWS European Sovereign Cloud, a new sovereign cloud designed to meet stringent EU digital sovereignty requirements while ensuring customers still benefit from the breadth of AWS cloud and AI innovation. In this role, you'll work backwards from sensitive data needs of European governments and enterprises to influence product strategy.<br>
<br>
We're looking for a unique blend of technologist and business strategist - someone who can dive deep into technical architecture while crafting portfolio-level value propositions that resonate with customers. You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business.<br>
<br>
If you thrive at the intersection of technology and business strategy and want to impact how organizations around the world leverage generative AI and business intelligence, this role is for you.<br>
<br>
Key job responsibilities<br>
<ul><li>Partner with product management and sales teams to develop portfolio-level strategies
</li><li>Create and own positioning and messaging that clearly articulates value propositions to customers
</li><li>Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
</li><li>Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
</li><li>Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings
</li><li>Represent AWS as a product evangelist in executive briefings, industry events, and analyst interactions
</li><li>Drive field enablement strategies to support product launches, campaigns, and customer success</li><li>Align with technical and business leaders on primary cloud and AI use cases for their specific ideal customer profiles; defines best practices for each use case</li></ul><br>
About the team<br>
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.<br>
<br>
Why AWS
<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Diverse Experiences
<br>
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.<br>
<br>
<br>
<br>
Work/Life Balance
<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Inclusive Team Culture
<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship and Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree or equivalent in a technology field</li><li>Experience conveying complex technical concepts to both technical and business audiences</li><li>Knowledge of and experience with cloud infrastructure technologies</li><li>5+ years of direct experience working with customers on cloud technology adoption AND/OR 5+ years of direct experience working in cybersecurity, threat detection, security operations, or incident response.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience developing detailed go to market plans</li><li>Experience demonstrating strong analytical abilities and confidence in the use of data</li><li>Bachelor's degree, or MBA in management, business administration, economics, engineering, marketing</li><li>Track record of creating compelling technical demonstrations and reference architectures</li><li>Experience presenting to executive-level audiences and industry analysts</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, MA, Boston - 118,600.00 - 160,000.00 USD annually<br>
USA, VA, Arlington - 118,600.00 - 160,000.00 USD annually<br>
USA, WA, Seattle - 118,600.00 - 160,000.00 USD annually</div><p></p>

Tech Product Marketing Manager - ESC , AWS Product Marketing

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon&rsquo;s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Data Engineer (DE) who will be a key contributor in architecting and building data platforms that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for developing data intensive applications, then you are the right candidate for our team. Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, and big focus on AI/LLM, you will have the opportunity to make a meaningful impact on the way data is accessed across SPS. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce<br>
<br>
Key job responsibilities<br>
As a Data Engineer in the Selling Partner (SP) Support Organization, you will work in one of its most dynamic and challenging spaces. You will design, implement and support scalable data infrastructure solutions that integrate diverse data sources, aggregate and curate data for reporting, analysis and LLM models. Working with native AWS technologies, you will create pragmatic solutions while maintaining appropriate complexity levels.
<br>
<br>
Your role requires excellent business and communication skills to collaborate effectively with business owners and technical leaders. You will gather infrastructure requirements, design data architecture, and build data pipelines and datasets to meet business needs. Additionally, you will be responsible for creating coherent logical data models that drive physical design.
<br>
<br>
In this role, you will focus on designing scalable architectures for robust applications and pipelines. You will need to make appropriate trade-offs, reuse where possible, and be judicious about introducing dependencies. Staying current with emerging technologies and implementing them where appropriate will be essential for success in this role.
<br>
<br>
A day in the life<br>
A day in the life of Data Engineer is equally interesting and challenging. The interesting part is learning about business, ever expanding databases and codebases, internal tech stack for builders, AWS and many more. The challenging part of a data engineer's life is to apply these learnings in building robust and reliable data applications. A DE will be involved in driving both business and technical related discussions and making several key decisions contributing to the success of Selling Partner Operations and Business teams.<br>
<br>
About the team<br>
Selling Partner Insights and Analytics team's (SPIA) vision is to provide data and insights to accelerate stakeholder&rsquo;s data-driven decisions. Our mission is to make it easier and faster for our internal customers to use analytics to shorten the path from data to insights. The business intelligence world is experiencing a fundamental shift from traditional reporting to predictive and prescriptive analytics. For SPIA, this means building a foundation that can support both current needs and future innovations.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)</li><li>Experience with one or more scripting language (e.g., Python, KornShell)</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with at least one modern language such as Java, Python, C++, or C# including object-oriented design</li><li>Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations</li><li>Knowledge of distributed systems as it pertains to data storage and computing</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, WA, Seattle - 101,300.00 - 160,000.00 USD annually</div><p></p>

Data Engineer, Selling Partner Insights and Analytics

Amazon Web Services (AWS)

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Sales, Marketing and Global Services (SMGS)
 <br/>
 <br/>
 AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
 <br/>
 <br/>
 Mission Statement
 <br/>
 <br/>
 The AWS Marketing Data: AI Science, Analytics and Engineering (D:SE) team owns analytics, reporting and self-service tooling, data representation, machine learning models, measurement, valuation and economics products for AWS Marketing. We are the central data and science organization, and we work with different teams in AWS Marketing to drive better measurement, increase experimentation velocity, improve data access and analytical self-service, deploy and test ML-powered targeting models, drive higher economic value, and empower strategic decisions with business deep dives. We enable other analytics, BI, and science teams across AWS Marketing through mechanisms, partnerships and scalable tools. We work globally as a central team and establish standards, benchmarks, and best practices for use throughout AWS Marketing.
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Would you like to support increasing customer base and the revenue for AWS, a market-leading cloud offering? Would you like to be part of a team focused on increasing awareness and adoption of the AWS platform by analyzing customer's behavior on and outside AWS websites? Do you want to empower our AWS Marketing organization make data-driven decisions that further establish AWS as leader in the cloud computing world?
 <br/>
 <br/>
 As a Data Engineer at AWS, you will be working in a large, extremely complex and dynamic data warehousing environment. We are looking for someone with the uncanny ability to integrate multiple heterogeneous data sources with AWS Marketing Data Warehouse - Jarvis and build efficient, flexible, and scalable data warehouse and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using these technologies to enable upgrades of the existing platform. You should have excellent business and communication skills and be able to work with business owners to develop and define key business questions, then build the data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing reporting applications. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.
 <br/>
 <br/>
 At AWS, you have control over every layer you build. Instead of owning a small slice of an existing service, you will own a core segment of a growing marketing platform serving 1000s of internal customers and millions of external customers. You will build on multiple AWS services and have opportunities to engage directly with those teams to improve our core offerings. At AWS, we work with our customers on a daily basis to prove out our ideas, gather feedback, and improve the platform.
 <br/>
 <br/>
 Location: Successful candidate must be located in Seattle - WA/Austin - TX/New York - NY/Herndon - VA
 <br/>
 <br/>
 A day in the life
 <br/>
 <br/>
 <ul>
  <li>
   Design, implement, and support a platform providing ad-hoc access to large datasets
  </li>
  <li>
   Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
  </li>
  <li>
   Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue
  </li>
  <li>
   Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift
  </li>
  <li>
   Interface with business customers, gathering requirements and delivering complete reporting solutions
  </li>
  <li>
   Build and deliver high quality datasets to support business analyst and customer reporting needs
  </li>
  <li>
   Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 About AWS
 <br/>
 <br/>
 Diverse Experiences
 <br/>
 <br/>
 AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 <br/>
 <br/>
 Why AWS?
 <br/>
 <br/>
 Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
 <br/>
 <br/>
 Inclusive Team Culture
 <br/>
 <br/>
 Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
 <br/>
 <br/>
 Mentorship &amp; Career Growth
 <br/>
 <br/>
 We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 <br/>
 <br/>
 Work/Life Balance
 <br/>
 <br/>
 We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 <br/>
 <br/>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree
  </li>
  <li>
   3+ years of data engineering experience
  </li>
  <li>
   1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT, OLAP technologies, data modeling, and SQL experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  </li>
  <li>
   Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
   <br/>
   <br/>
  </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 <br/>
 <br/>
 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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 <br/>
 <br/>
 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 &amp; AD&amp;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.
 <br/>
 <br/>
 USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon Web Services, Inc.
 <br/>
 <br/>
 Job ID: A10374207
</div>


Data Engineer, AWS Marketing D:SE

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online &ndash; providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel<br>
<br>
Sellers&rsquo; trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazon&rsquo;s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems.
<br>
<br>
The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient &amp; automated processes. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data pipelines to answer key business questions. They will build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative, and don&rsquo;t quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.
<br>
<br>
Key job responsibilities<br>
In this role, you will work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers, product managers, and analytics teams to develop data solutions that drive innovation and operational excellence.<br>
<br>
The ideal candidate brings deep expertise in big data technologies, strong data modeling and problem-solving skills, and a track record of delivering scalable, maintainable data systems. If you&rsquo;re excited by the challenge of shaping data platforms that support real-world hardware, software, and operations, this is the role for you.<br>
<br>
A day in the life<br>
<ul><li>Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.</li><li>Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, re-usability, and quality across systems.</li><li>Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.</li><li>Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.</li><li>Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).</li><li>Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.</li><li>Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.</li><li>Mentor junior engineers and contribute to team hiring and onboarding</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
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 &amp; AD&amp;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.</p><br>
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, SPTC

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.</p><p>
</p><div><p>As a Senior Lead Security Engineer at JPMorganChase within the Cybersecurity Technology and Controls, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.</p><p><b>
Job responsibilities</b></p><p>
</p><ul><li>Facilitates security requirements clarification for multiple networks to enable multi-level security to satisfy organizational needs</li><li>
Works with stakeholders and senior business leaders to recommend business modifications during periods of vulnerability</li><li>
Be responsible for triaging based on risk assessments of various threats and managing resources to cover impact of disruptive events
</li><li>Stay abreast of emerging IAM technologies and security trends, recommending and implementing improvements to enhance security posture.</li><li>
Produce clear, detailed documentation and communicate complex technical concepts effectively to both technical and non-technical stakeholders.</li><li>
Identify opportunities to automate remediation of recurring issues, improving overall operational stability.</li><li>
Provide technical thought leadership, staying abreast of industry trends, emerging technologies, and best practices to guide the team and organization.</li><li>
Identify existing drawbacks, gaps, and inefficiencies in frameworks, processes, and practices; proactively recommend and implement improvements.</li><li>
Serve as a subject matter expert and advisor on technological matters, influencing technical decisions and strategy across business, product, and technology teams.</li><li>
Ensure frameworks and solutions are enterprise-grade, with strong security, monitoring, documentation, and operational stability.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><p>
</p><ul><li>Formal training or certification on security concepts and 5+ years of applied experience in security engineering</li><li>
Skilled in planning, designing, and implementing enterprise-level security solutions</li><li>
Expertise in IAM technologies: OAuth2.0, SAML, ABAC, RBAC, PBAC, OPA.</li><li>
Advanced proficiency in Java, Python, or Node.js&mdash;production-quality code</li><li>
Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
Extensive experience with threat modeling, discovery, vulnerability, and penetration testing</li><li>
Ability to tackle design and functionality problems independently with little to no oversight
</li><li>Practical cloud native experience</li></ul><div>
</div><div></div><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with dashboard and reporting tools: Grafana, Splunk, Prometheus, custom dashboards.</li><li>
Experience with hybrid identity environments: Azure AD/Entra ID Connect, AWS Cognito, OIDC Federation</li><li>
Familiarity with regulated industry environments (financial services, healthcare, government)</li><li>
Experience with BloodHound, SharpHound, or equivalent AD attack path analysis tools</li></ul><p>
</p><p></p><p>#CTC</p></div>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Senior Lead Security Engineer

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