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data engineer- infrastructure Jobs in New York

data engineer- infrastructure

distributed systems engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Build the real-time, globally distributed platform that controls billing, budgeting, payments, and promotions for Amazon Advertising &mdash; processing multi-million transactions worth 100x in dollar value daily with millisecond SLAs, directly impacting the experience of advertisers worldwide. Your work powers the financial levers behind one of Amazon's fastest growing businesses. 
 
The Iron Mountain platform is the singular system managing all advertiser-facing financial functions &mdash; billing, invoicing, accounting automation, budgets, promotions, payments, and Billing Advertiser Experience (AX) &mdash; in real-time while being transparent and auditable from the ground up. These systems serve Sponsored Ads worldwide across all advertising displayed on or off Amazon. With international expansion driving 10X traffic growth, you'll solve critical distributed systems challenges: building architecture that scales exponentially, maintains high availability with minimal downtime (where outages directly impact revenue and advertiser business), and guarantees millisecond response times for front-end advertiser experiences. Our team spans Bangalore, Seattle, and New York &mdash; truly global in spirit. 
 
Key job responsibilities 
<ul><li>Design and build global, scalable, secure back-end applications for billing, budgeting, payments, and promotions at massive transaction volume</li></ul> 
<ul><li>Build customer-facing front-end applications that enable frictionless billing, budgeting, and payments for advertisers</li></ul> 
<ul><li>Architect high-availability, distributed systems with millisecond SLAs &mdash; ensuring zero revenue loss and uninterrupted advertiser experiences</li></ul> 
<ul><li>Seamlessly integrate with downstream ad serving platforms, billing and budgeting systems across the broad variety of advertising programs with no loss in information</li></ul> 
<ul><li>Design for 10X traffic growth &mdash; building easily scalable architecture that supports international expansion and new business needs</li></ul> 
<ul><li>Own what you and your team create end to end &mdash; from feature design with customers, designers, and product managers through implementation, performance, and operational excellence</li></ul> 
<ul><li>Identify and mitigate design risks early to increase speed of implementation; be judicious with dependencies and efficient with resource usage</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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. 
 
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. 
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. 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually</div>

Software Development Engineer, Ads Core Services

Mirage

<div>Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would &mdash; dramatically improving productivity for experienced teams, while making video creation accessible to anyone. 
 
We&rsquo;re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you&rsquo;ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression. 
More about us
Product (Captions by Mirage)
Research (Seeing Voices, technical-white-paper)
Updates (Mirage on X / twitter)
TechCrunch, Forbes AI 50, Fast Company (press) 
Our Investors
We&rsquo;re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
About the Role 
Mirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You&rsquo;ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.
This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation.
Responsibilities<ul><li>
Train and optimize large-scale video and multimodal models</li><li>
Improve efficiency across training and inference (memory, latency, cost)</li><li>
Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generation</li></ul><ul><li>
Build and maintain distributed training systems</li><li>
Optimize GPU utilization, parallelism, and throughput</li><li>
Develop tooling for experimentation, evaluation, and debugging</li></ul><ul><li>
Translate research models into robust, production-ready systems</li><li>
Monitor and improve model performance in real-world usage</li></ul>
What makes you a great fit<ul><li>
BS/MS/PhD in CS, ML, or related field</li><li>
2+ years of professional industry experience</li><li>
Strong experience in deep learning systems and infrastructure</li><li>
Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.)</li></ul><ul><li>
Experience scaling and optimizing large models under low-latency inference constraints</li><li>
Strong debugging and performance profiling skills</li><li>
Ability to move quickly from prototype to production</li></ul><h3 class="jobSectionHeader">
Benefits:</h3><ul><li>
Comprehensive medical, dental, and vision plans</li><li>
401K with employer match</li><li>
Commuter Benefits</li><li>
Catered lunch multiple days per week</li><li>
Dinner stipend every night if you're working late and want a bite!
</li><li>Grubhub subscription</li><li>
Health &amp; Wellness Perks</li><li>
Multiple team offsites per year with team events every month</li><li>
Generous PTO policy</li></ul>
Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please note benefits apply to full time employees only.
Compensation Range: $175K - $275K</div>

Research Engineer, Generative Video

Cerberus Capital Management

<div>
 
 Founded in 1992, Cerberus is a global leader in alternative investing with approximately $70 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at
 
 www.cerberus.com
 
 .
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a Full Stack Hands-on Software Engineer with security-first mindset, strong product ownership, and technical expertise. The ideal candidate will lead development for back-end middle-office products, collaborate closely with business stakeholders, and deliver secure, scalable, high-quality solutions. This role requires both technical depth and the ability to translate business needs into functional products.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design and build full-stack applications using React (TypeScript) for front-end and Node.js for back-end services
 </li>
 <li>
 Develop and maintain RESTful APIs; integrate with internal and external systems
 </li>
 <li>
 Implement distributed systems and clean design principles for scalable, high-performance applications
 </li>
 <li>
 Deploy and manage cloud-based solutions on Azure (or other cloud platforms) with best practices for security and reliability
 </li>
 <li>
 Engage in security remediation activities, primarily focused on fixing findings from security vulnerability scans across business applications
 </li>
 <li>
 Write clean, maintainable code following SDLC standards; perform code reviews and enforce best practices
 </li>
 <li>
 Leverage AI tooling for SDLC automation, including but not limited to story creation and refinement, code generation, unit test development, and other repeatable operational activities
 </li>
 <li>
 Monitor and optimize application performance across the full stack
 </li>
 <li>
 Perform production support activities, applying creative thinking to effectively investigate and resolve production issues
 </li>
 <li>
 Work with SQL and related technologies to design efficient queries and manage large datasets
 </li>
 <li>
 Implement and maintain CI/CD pipelines for automated build, test, and deployment processes
 </li>
 <li>
 Engage with business analysts, stakeholders, and vendors to capture requirements and align technology with business goals
 </li>
 <li>
 Mentor junior developers, ensure timely delivery, and drive continuous improvement in development processes
 </li>
 <li>
 Clearly articulate concepts, designs, and strategies to technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Articulate communicator who brings creativity to complex problem-solving skills
 </li>
 <li>
 Experience coding and building scalable solutions in React (TypeScript), Node.js and JavaScript
 </li>
 <li>
 Proven full-stack experience in API and web application development
 </li>
 <li>
 Hands-on experience identifying and addressing security vulnerabilities leveraging AI
 </li>
 <li>
 Strong knowledge of distributed systems and clean architecture principles
 </li>
 <li>
 Familiarity with Generative AI and passion for leveraging AI tools in SDLC
 </li>
 <li>
 Experience designing systems, Azure (or other cloud providers), and SQL
 </li>
 <li>
 Demonstrated ability to lead projects end-to-end with accountability for quality
 </li>
 <li>
 Ability to work independently and within cross-functional teams.
 </li>
 <li>
 Required experience in production support activities, including the ability to think creatively and effectively resolve production issues
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 &middot; Experience with Agile methodologies
 
 
 &middot; Proficiency in Python; C# experience is a plus.
 
 
 &middot; Applied AI experience in engineering workflows or business-facing solutions
 
 
 
 
 
 
 Compensation:
 
 
 
 The base salary for this position is expected to be between $135,000.00 and $150,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate&rsquo;s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus [which is often a meaningful portion of the compensation package], and a robust benefits package.
 
</div>

Associate, Software Engineer

Whatnot

<div>
 
 
 🚀 Join the Future of Commerce with Whatnot!
 
 
 
 
 Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
 
 
 As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
 
 
 We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
 
 
 
 💻 Role
 
 
 
 Data is crucial to Whatnot&rsquo;s mission to bring people together through commerce.
 
 
 As our newest
 
 Data Engineer
 
 , you&rsquo;ll build and scale the systems that power data-driven decisions across the company. You&rsquo;ll work directly with stakeholders across the business &ndash; such as product, sales, marketing, finance, and trust teams &ndash; to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot&rsquo;s internal and external growth.
 
 
 
 On Any Given Day, You Will
 
 
 
 <ul>
 <li>
 Own data architecture end-to-end. Define how we capture, model, and serve critical business data&mdash;then implement it in production. You&rsquo;ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency.
 </li>
 <li>
 Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains&mdash;user activity, transactions, experimentation, marketing performance, and operational telemetry&mdash;with tight guarantees for latency, completeness, and accuracy.
 </li>
 <li>
 Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams.
 </li>
 <li>
 Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable.
 </li>
 <li>
 Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
 </li>
 <li>
 Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
 
 
 </li>
 </ul>
 Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams.
 
 
 
 👋 You
 
 
 
 People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
 
 
 <ul>
 <li>
 Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
 </li>
 <li>
 Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
 </li>
 <li>
 Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
 </li>
 <li>
 Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
 </li>
 <li>
 Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
 </li>
 <li>
 Enjoy partnering across disciplines&mdash;engineering, product, analytics&mdash;to translate messy business requirements into elegant data systems.
 </li>
 <li>
 Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.
 
 
 </li>
 </ul>
 If designing the data backbone that powers Whatnot&rsquo;s growth, insights, and product innovation excites you, we&rsquo;d love to meet you.
 
 
 
 We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs.
 
 
 
 
 💰Compensation
 
 
 
 
 For Full-Time (Salary)
 
 
 
 
 US based applicants:
 
 $180,000/year to $260,000/year + benefits + equity.
 
 
 The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
 
 
 
 🎁 Benefits
 
 
 
 <ul>
 <li>
 Generous Holiday and Time off Policy
 </li>
 <li>
 Health Insurance options including Medical, Dental, Vision
 </li>
 <li>
 Work From Home Support
 </li>
 <ul>
 <li>
 Home office setup allowance
 </li>
 <li>
 Monthly allowance for cell phone and internet
 </li>
 </ul>
 <li>
 Care benefits
 </li>
 <ul>
 <li>
 Monthly allowance for wellness
 </li>
 <li>
 Annual allowance towards Childcare
 </li>
 <li>
 Lifetime benefit for family planning, such as adoption or fertility expenses
 </li>
 </ul>
 <li>
 Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
 </li>
 <li>
 Monthly allowance to dogfood the app
 </li>
 <ul>
 <li>
 All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
 </li>
 </ul>
 <li>
 Parental Leave
 </li>
 <ul>
 <li>
 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
 </li>
 </ul>
 </ul>
 
 
 💛 EOE
 
 
 
 
 Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
 
 
 Compensation Range: $180K - $260K
 
 
</div>

Data Engineer

Foot Locker

<div>Overview:
<div>
Great brands reflect culture. The best ones help shape it. At Foot Locker, we&rsquo;re rooted in sport, powered by style, and driven by the communities that move both. From Foot Locker and Kids Foot Locker to Champs Sports, WSS, and atmos, our brands sit at the intersection of sport, style, and self-expression. 
 
As part of the DICK&rsquo;S Sporting Goods family, you&rsquo;re backed by the resources, reach, and career opportunities of a world-class sports company. That unleashes Foot Locker to keep pushing forward with the agility and edge that define the brand. We&rsquo;re looking for great people who want to influence culture and the generation that is shaping what&rsquo;s next. 
 
Whether you&rsquo;re building strategy, shaping innovations, or creating unforgettable customer moments, you&rsquo;ll contribute to decisions and experiences that define our brands&rsquo; impact in the communities we serve. 
 
Come change the game with us. Apply today!</div><div>
Hybrid (3 days in NYC office)</div><div></div> 
At this time, Foot Locker will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization)<div> 
We are seeking a visionary and results-driven Sr. Manager to lead global merchandising technology with a focus on planning platforms. This role is responsible for defining and delivering the technology strategy, advancing modern platform capabilities, and enabling business outcomes across allocation, assortment planning, merchandising financial planning (MFP), and buying.</div><div>
This leader will drive modernization of legacy systems, operate within a product-based delivery model, and leverage data, analytics, and AI-driven solutions to improve decision-making and operational performance.</div><div>
The role operates within a complex global business model spanning multiple regions and markets and supports a distributed delivery organization, including significant offshore engineering and support teams.</div><div>
This position leads a global team of ~10&ndash;15 technology professionals and owns measurable business outcomes including inventory productivity, forecast accuracy, allocation efficiency, and platform performance.</div>
Responsibilities:
<div>
Technology Strategy &amp; Roadmap</div><ul><li>
Define and execute a comprehensive technology roadmap aligned with business strategy</li><li>
Identify, evaluate, and implement modern platforms supporting merchandising and commercial capabilities</li><li>
Lead evaluation and selection of third-party platforms, including RFP processes and vendor assessments</li><li>
Lead modernization of legacy platforms (including mainframe) into scalable, cloud-native architectures</li><li>
Drive adoption of API-first, event-driven, and composable platform designs</li><li>
Ensure solutions support global scalability while accommodating regional business models and regulatory requirements</li><li>
Manage and optimize the technology budget to ensure cost-effective delivery</li><li>
Define, track, and report on KPIs tied to business value and system performance</li><li>
Identify and reduce technical debt to improve scalability and maintainability</li></ul><div></div><div> 
Core Platforms &amp; Capabilities</div><ul><li>
Oversee delivery, support, and continuous improvement of core systems and capabilities, including:</li><li>
Allocation &amp; replenishment</li><li>
Assortment &amp; space planning</li><li>
Merchandising financial planning (MFP)</li><li>
Size &amp; pack optimization and buying</li><li>
Lead end-to-end implementation of packaged (SaaS / vendor) solutions, including solution design, configuration, integration, and deployment</li><li>
Partner with business stakeholders to ensure systems are configured to support business processes and scalability</li><li>
Ensure high levels of data accuracy, operational integrity, and consistency across enterprise platforms</li><li>
Support legacy systems while driving a clear transition strategy to modern platforms</li><li>
Ensure compliance with enterprise security, privacy, and data governance standards</li></ul><div></div><div> 
Engineering Excellence &amp; Architecture</div><ul><li>
Establish best-in-class engineering and solution architecture practices</li><li>
Drive high standards for system reliability, performance, scalability, and maintainability</li><li>
Guide architectural decisions across platforms, integrations, and third-party solutions</li><li>
Define integration patterns and frameworks for connecting enterprise systems and data platforms</li><li>
Champion DevOps and engineering best practices to improve speed, quality, and transparency</li></ul><div></div><div> 
Team Leadership &amp; Product Delivery</div><ul><li>
Lead and develop a globally distributed team of 10&ndash;15 across engineering, integration, and quality engineering</li><li>
Operate within a product-based delivery model with clear ownership of capabilities and outcomes</li><li>
Foster a high-performance culture focused on accountability, delivery excellence, and continuous improvement</li><li>
Lead a distributed team across onshore and offshore resources, ensuring effective collaboration across time zones and regions</li><li>
Establish and optimize global delivery models, including offshore and partner teams</li><li>
Drive consistency in engineering standards, delivery practices, and governance across a global organization</li><li>
Drive accountability for successful platform rollouts, adoption, and post-implementation optimization</li><li>
Define vendor strategy including build vs. buy decisions and manage consulting and SaaS partners to maximize value</li><li>
Oversee execution of multiple large-scale, cross-functional initiatives</li></ul><div></div><div> 
Cross-Functional Collaboration &amp; Change Management</div><ul><li>
Partner closely with merchandising, commercial, finance, operations, and data teams</li><li>
Align technology initiatives with business priorities to deliver measurable outcomes</li><li>
Lead cross-functional decision-making, managing risks, dependencies, and trade-offs</li><li>
Facilitate alignment between business process design and system configuration during implementations</li><li>
Navigate regional business requirements, balancing global standardization with local market needs</li><li>
Drive organizational change management, including user adoption, training, and process transformation</li></ul><div></div><div> 
Data, Analytics &amp; Innovation</div><ul><li>
Leverage advanced analytics, data platforms, and AI/ML models to improve decision-making and operational performance</li><li>
Partner with data engineering and analytics teams to enable scalable, high-quality data solutions</li><li>
Enable data-driven capabilities such as optimization, forecasting, and performance analysis</li><li>
Drive innovation through adoption of emerging technologies and modern platform capabilities</li><li>
Provide thought leadership across business and technology domains</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Business, or a related field</li><li>
7+ years of experience in retail or merchandising technology leadership roles</li><li>
Proven track record of delivering large-scale merchandising technology solutions</li><li>
Hands-on experience implementing and configuring merchandising planning systems (e.g., allocation, planning, MFP, or similar domains)</li><li>
Experience leading engineering teams across multiple disciplines (development, integration, QA)</li><li>
Expertise with leading legacy and commercial merchandising platforms (e.g., Oracle, o9, SAS, Zebra, or similar)</li><li>
Experience with both legacy/mainframe systems and modernization to cloud-native architectures</li><li>
Strong understanding of data platforms, analytics, and AI/ML-driven retail solutions</li><li>
Experience operating in global, multi-region retail environments</li><li>
Hands-on experience with budgeting, prioritization, and resource planning</li><li>
Experience managing vendors, SaaS platforms, and consulting partners</li><li>
Excellent leadership, communication, and stakeholder management skills</li><li>
Ability to operate effectively at both strategic and execution levels in a fast-paced environment</li><li>
Experience leading globally distributed teams, including offshore development and support models</li><li>
Proven ability to operate effectively across time zones, cultures, and regional business structures</li></ul><div></div><div> 
At Foot Locker, we value innovation, authenticity, and integrity in all that we do. To uphold the security and fairness of our hiring process, we ask that candidates refrain from using AI tools, including ChatGPT, during interviews and assessments. To ensure a smooth and secure experience, please review the following guidelines:</div><ul><li>
Cameras must be on for all virtual interviews.</li><li>
AI tools are strictly prohibited during interviews or assessments.</li></ul><div>
We appreciate your understanding and cooperation as we work together to create a transparent and equitable hiring experience.</div>
Benefits:
<div>
The annual base salary range is $140,000 - $180,000. This range represents the anticipated low and high end of the salary for this position. This role is also eligible to receive short term incentives that align with individual and company performance. Salary will be determined by the education, experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Salary is one component of the Foot Locker, Inc. total compensation package, which includes the below.
</div><div>Foot Locker Benefits:</div><ul><li>
Employee Discount</li><li>
Paid Time Off</li><li>
Medical | Dental | Vision Coverage</li><li>
401(k) | Roth 401(k)</li><li>
Stock Purchase Plan</li><li>
Life Insurance</li><li>
Flexible Spending Account</li><li>
Opportunities for Advancement</li><li>
Tuition Reimbursement for Qualified Courses</li><li>
Strong Company Culture</li><li>
Employee Resource Groups</li></ul></div>

Sr. Manager Merchandising Technology - Planning and Allocation

T-Mobile

<div>At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That&rsquo;s how we&rsquo;re UNSTOPPABLE for our employees!
At T-Mobile Advertising Solutions, we're building privacy-first advertising products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy. 
 
We are seeking a creative, and curious Senior Applied Scientist to join our team. In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate with engineers, data scientists, product managers, and other stakeholders to solve complex problems and deliver innovative solutions at scale. 
 
We embrace Lean Development principles, iterative experimentation, continuous learning, and a strong build-measure-learn feedback culture. The work you do will directly shape the future of our products and technologies.<div><div><div><div><div><div><div><div><div>
Job Responsibilities:<ul><li>
Lead the end-to-end development of machine learning and data products aligned to business objectives, from problem framing through deployment and monitoring.</li><li>
Build scalable data, training, and inference pipelines using distributed processing and cloud technologies.</li><li>
Apply statistical methods, experimentation, and validation frameworks to ensure solution quality and business impact.</li><li>
Write production-quality code and contribute to engineering best practices, including testing, CI/CD, and observability.</li><li>
Collaborate across engineering, product, and business teams while leading other engineers and data scientists.
</li></ul>Education and Work Experience:<ul><li>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</li><li>
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)</li><li>
4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools. (Required)</li><li>
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift) (Required)</li><li>
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS) (Required)</li><li>
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.(Required)</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Strong background in AI/ML, data structures, statistical modeling, optimization algorithms, big data, and design thinking.</li><li>
Advanced knowledge of cloud-based services (GCP, AWS)
and Python, PySpark and related Python libraries (e.g. pandas, scikit-learn, scipy, numpy) for advanced data science tasks.</li><li>
Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies.</li><li>
Experience operating production machine learning and data systems in cloud and containerized environments.</li><li>
Experience in AdTech and GIS or geospatial data processing is a plus.</li></ul></div></div></div></div></div></div></div></div></div><ul><li>
At least 18 years of age</li><li>
Legally authorized to work in the United States</li></ul>
Travel: 
Travel Required (Yes/No): No 
 
DOT Regulated: 
DOT Regulated Position (Yes/No): No 
Safety Sensitive Position (Yes/No): No
Base Pay Range: $116,500 - $210,100
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&amp;D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service &amp; home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile&rsquo;s amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing! 
As part of the T-Mobile team, you know the Un-carrier doesn&rsquo;t have a corporate ladder&ndash;it&rsquo;s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it&rsquo;s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you&rsquo;re living our values while investing in your career growth&ndash;and we applaud it. You&rsquo;re unstoppable! 
 
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. 
 
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.</div>

Senior Applied Scientist

Vistar Media

<div>Vistar Media is the home of out-of-home (OOH). As a global ad tech company and the world's largest digital out-of-home (DOOH) advertising marketplace, we offer technology designed to make buying and selling OOH media easier. Our goal is simple: to help the world's marketers leverage OOH's unique ability to motivate and delight.
From strategic partnerships with major media owner networks to executing impactful campaigns with renowned global brands such as Nestl&eacute;, Porsche, Target, and Levi's, our team is filled with passionate, innovative, and collaborative problem solvers, engaging and entertaining consumers like you in the real world. Find your home in out-of-home - find your people at Vistar.
As of January 2025, Vistar Media was acquired by T-Mobile and is now part of T-Mobile Advertising Solutions. By combining our DOOH expertise with T-Mobile&rsquo;s unique customer insights and expansive omnichannel capabilities, we&rsquo;re creating new opportunities to innovate at scale and make a meaningful impact on the future of out-of-home media.
At T-Mobile Advertising Solutions (T-Ads), we're building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.
 
 
We are adding a creative and motivated Senior Data Engineer to join our team, where you&rsquo;ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You'll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together. 
 
We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you'll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.<ul><li>
Job Responsibilities:<ul><li>
Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.</li><li>
Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.</li><li>
Write robust, efficient, and highly maintainable code in Python, Spark and Scala.</li><li>
Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.</li><li>
Assist technical, product, and operational leaders in project definition, including estimating, planning, and scoping work to meet objectives.</li><li>
Also responsible for other duties/projects as assigned by business management as needed</li></ul> 
Education and Work Experience:<ul><li>
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)</li><li>
Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)</li><li>
4-7 years Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)</li><li>
4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)</li><li>
4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)</li></ul> 
Knowledge, Skills and Abilities:<ul><li>
Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)</li><li>
Experience with production-level engineering around GIS and geospatial data processing. (Preferred)</li><li>
Familiarity with DevOps practices and tools for DataOps.</li><li>
Ability to work quickly and precisely, capturing requirements and designing before implementation.</li><li>
Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases.</li></ul></li></ul>
Base Pay Range: $105,100 - $189,600<div></div> 
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate&rsquo;s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.<div></div> 
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee&rsquo;s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ353917&para;dox=1
If you&rsquo;re ambitious, highly driven, and interested in making an impact, Vistar is the place for you. Apply to join our team&hellip; we&rsquo;ll see you out there.</div>

Senior Data Engineer, Big Data and Cloud

Explore 148+ Distributed systems engineer in New York this August. Find roles across top companies and apply now to boost your career.