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cloud data engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Specialist Technology Team (STT) is the connective tissue between AWS's deep technical specialists, field teams, and customers&mdash;delivering L300+ technical expertise, mechanisms, and products that accelerate customer success and drive frictionless AWS adoption at scale. Our mission spans two fronts: we are fundamentally transforming how thousands of field team members access specialist knowledge through AI-powered, on-demand expertise across 30+ technical domains, and we build and ship customer-facing engineered solutions that accelerate AWS service adoption across industries.
 
 
Our portfolio spans AI-powered specialist knowledge systems (Specialist Agent, Knowledge Vault), hands-on engagement platforms (Workshop Studio), content quality and recommendation engines (Holmes), and go-to-market orchestration tools (Alchemy)&mdash;collectively enabling field teams to deliver high-quality technical engagements at scale. These products serve thousands of users across the AWS sales organization, generating rich signals about content effectiveness, engagement delivery, knowledge consumption, and field team productivity.
 
 
We are seeking a Data Engineer to join our newly formed centralized analytics team as one of the first Data Engineers on the team. This is a greenfield opportunity to build a data platform from the ground up&mdash;making foundational architectural decisions and directly influencing how an entire organization measures success and makes investment decisions. You will design, build, and operate scalable data pipelines that connect product telemetry, usage metrics, and business outcomes into a coherent, unified data ecosystem. Your focus will be squarely on engineering&mdash;building robust, scalable infrastructure and data models&mdash;while dedicated Business Intelligence Engineers on the team own the reporting, dashboarding, and stakeholder-facing analytics. This is not traditional reporting&mdash;you will be building the data backbone that powers intelligent, agent-driven analytics experiences (MCP tools, agentic retrieval systems) enabling stakeholders to intuitively access and consume data within their day-to-day workflows. The data you engineer will inform executive reviews, drive product strategy, and power the next generation of self-service analytics tools used by thousands of AWS field team members.
 
 
Key job responsibilities 
<ul><li>Design, build, and operate scalable ETL/ELT pipelines that ingest product telemetry, usage events, and business outcome data from multiple heterogeneous sources across the STT product portfolio
</li></ul> 
<ul><li>Architect and implement a centralized data platform using AWS-native technologies (Redshift, S3, Glue, Lake Formation, Lambda, Athena) that serves as the single source of truth for organizational analytics
</li></ul> 
<ul><li>Build and maintain data models that connect product usage signals to business outcomes (e.g., content effectiveness field engagement pipeline progression revenue impact)
</li></ul> 
<ul><li>Develop data infrastructure supporting AI/ML pipelines and agentic systems, including MCP tools and natural-language data access layers
</li></ul> 
<ul><li>Implement data quality frameworks with automated monitoring, alerting, and validation to ensure accuracy and reliability as the platform scales
</li></ul> 
<ul><li>Build self-service data products with clear SLAs, documentation, and governance that reduce ad-hoc request burden and empower stakeholders to answer their own questions
</li></ul> 
<ul><li>Partner with Applied Scientists and SDE teams to provide clean, well-modeled data for agent evaluation frameworks, retrieval quality measurement, and content effectiveness scoring
</li></ul> 
<ul><li>Establish data contracts, lineage tracking, and catalog metadata to support discoverability and trust across the organization
</li></ul> 
<ul><li>Operate with a high bar for operational excellence&mdash;owning on-call, monitoring pipeline health, and proactively resolving data freshness or quality issues before they impact consumers
</li></ul> 
<ul><li>Contribute to the evolution from static dashboards toward agentic data systems by building the foundational data layers that AI agents query and reason over
</li></ul> 
About the team 
You will be joining a high-growth engineering organization at the forefront of applying generative AI and agentic technologies to transform how AWS field teams operate. The centralized analytics team is being built from the ground up&mdash;you will be one of the first two Data Engineers on the team, working alongside Business Intelligence Engineers, a Senior BD, an Applied Scientist, and a TPM. You will make foundational architectural decisions that define how the platform will be built, scaled, and operate for years to come. The pace of innovation is high, the problems are ambiguous, and the impact is measured across thousands of field team members and the customers they serve. This role offers the opportunity to shape foundational architecture decisions and influence how an entire organization consumes and acts on data.
 
 
About AWS 
Diverse Experiences 
AWS 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.
 
 
Why AWS? 
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. 
 
Inclusive Team Culture 
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. 
 
Mentorship &amp; Career Growth 
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.
 
 
Work/Life Balance 
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.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data engineering experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>3+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>3+ years of in the job offered or a related occupation experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</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> 
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 - 145,300.00 - 196,600.00 USD annually 
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, Specialist Technology Team (STT), Centralized Data & Analytics

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

Revelio Labs

<div>
 Data Engineer at Revelio Labs, Inc., New York, NY (F/T)
 
 
 JOB DUTIES: Own and scale the companys infrastructure platform with a focus on large-scale data systems, container orchestration, and infrastructure automation. Architect and maintain high-performance infrastructure supporting large-scale distributed databases and real-time processing systems. Manage and optimize Kubernetes clusters (both on-premise and in cloud environments), including multi-tenant isolation, resource allocation, security, autoscaling, and application monitoring. Develop and maintain Infrastructure-as-Code (IaC) with full GitOps integration. Manage cloud infrastructure on AWS, including IAM roles, VPC networking, S3 storage policies, and integration with containerized workloads and external services. Design secure and scalable interfaces between cloud-native infrastructure and data platforms. Collaborate with data engineers and machine learning teams to build scalable data pipelines. Provide hands-on development of ETL jobs and data transformation workflows. Provide expert guidance on high availability, sharding, scaling strategies, storage engine internals, and performance tuning for diverse workloads. Own the full observability stack, including the design and maintenance of monitoring, logging, and alerting systems. Track and optimize infrastructure costs through usage-based metrics, implementing cost-efficient monitoring strategies, and proactively identify areas to cut waste across compute, storage, and network resources.
 
 
 JOB REQUIREMENTS: Position requires a Masters degree, or foreign equivalent, in Computer Science, Data Science, Data Analytics, Computer Engineering, or a closely related field, and completion of an internship (approx. 8-12 weeks) or equivalent experience. Full term of experience must include professional experience or internship experience in each of the following: Writing and debugging Python, Shell (Bash), and SQL code for use in infrastructure automation and data transformation workflows; Working with relational and NoSQL databases, including PostgreSQL and MySQL, to troubleshoot data issues, optimize query performance, and ensure data integrity for data pipelines; Implementing monitoring and troubleshooting processes to identify performance issues and ensuring data stability across infrastructure and data pipelines; Developing and maintaining CI/CD pipelines using GitHub Actions and YAML configurations to automate the building, testing, and deployment of Docker containers; and, Supporting cloud-based infrastructure by managing system configurations and updates through Git-based version control, containerization technologies, and laC.
 
 
 Telecommuting permitted from any U.S. location.
 
 
 SALARY: $160,000
 
 
 $200,000 per year
 
 
 QUALIFIED APPLICANTS: To apply, email resume to hannah@reveliolabs.com. Reference: Rev-9510813.
</div>

Data Engineer

Alvarez & Marsal

<div>Description
About Alvarez &amp; Marsal
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.
The Team
Alvarez &amp; Marsal's Corporate Performance Improvement practice is looking for a FinOps leader who bridges finance, engineering, and operations to align cloud investments with maximum business value. This is both a strategic role - defining cloud financial management roadmaps - and a hands-on tactical role designing and implementing cost avoidance and cost reduction measures. 
Experience Should Include<ul><li>
Cloud cost modeling, optimization, and benchmarking (government and/or commercial comparables) including AI workloads.</li><li>
FinOps framework implementation - governance, tagging taxonomy, chargeback/show-back models, KPI frameworks</li><li>
FinOps Open Cost and Usage Specification (FOCUS)</li><li>
Workload rightsizing, auto-scaling, and commitment-based discount strategy (reserved instances, savings plans, committed-use agreements)</li><li>
Orphaned/unused resource identification and remediation - VM rightsizing, guardrails, tagging automation</li><li>
Native cloud cost management tools (AWS Cost Explorer, Azure Cost Management, GCP Billing) and third-party FinOps platforms (Apptio, Flexera, Cloud Health)</li><li>
Enterprise software licensing consolidation and optimization</li><li>
AI-assisted cost anomaly detection, forecasting, and optimization recommendation engines - must demonstrate active use of AI tools in delivery; AI fluency is required for this role</li></ul>
How you will contribute<ul><li>
Develop and execute comprehensive FinOps strategies aligned with business and mission goals, detailing frameworks, processes, and governance</li><li>
Create and maintain FinOps roadmaps embedding cost-conscious practices into engineering and architecture lifecycles</li><li>
Design KPI frameworks with clear targets and accountability mechanisms to monitor FinOps delivery</li><li>
Establish governance frameworks for tagging, budgeting, and resource accountability - including guardrails to prevent unnecessary resource allocation</li><li>
Drive automation and transparency in cost reporting, anomaly detection, and forecasting - providing real-time visibility into cloud spend across mission partners</li><li>
Build ROI models and cost reduction business cases that quantify optimization impact for executive audiences</li><li>
Integrate findings into A&amp;M's broader engagement scope and deliverables</li><li>
Support practice development through internal training, content creation, and people development</li></ul>
Qualifications
<ul><li>8-12+ years of professional experience in cloud cost management and FinOps practice development</li><li>
FinOps Practitioner or FinOps Engineer certification strongly preferred</li><li>
Demonstrated 15&ndash;30% cloud cost savings delivery on prior engagements</li><li>
Strong data analytics and visualization skills - experience with SQL, PowerBI, or equivalent</li><li>
Federal FinOps experience helpful but not required - demonstrated cost optimization at scale in any large enterprise is the primary qualifier</li><li>
Bachelor's degree required; Finance, Computer Science, or MIS preferred</li><li>
Comfortable with travel up to 80%</li><li>
Full-time, contract, and project-based engagements available</li></ul> 
What Distinguishes a Great Candidate
Has built FinOps practices from scratch in large enterprises - not just reported on costs. Can do rate negotiation strategy. Understands both the financial and engineering levers of cloud cost optimization. Brings AI-powered cost analytics and forecasting as standard practice, not as an add-on.
Your journey at A&amp;M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&amp;M&rsquo;s benefits programs.
The salary range for Manager is $135,000 - $160,000 annually and Director is $150,000 - $210,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
#LI-EW1</div>

FinOps & Cloud Cost Optimization Lead, Digital & Technology Services

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>

Cloud and Things

<div>Our goal is to solve problems and deliver results for our clients. At Cloud and Things, you can be a part of transforming the public sector&rsquo;s IT environment. Our team is on the forefront of helping to solve the government's most complex IT challenges. If you are seeking a role that offers the opportunity to work on rewarding projects, consider a career with Cloud and Things.? 
 
 
*This is an exempt position. Salary commensurate with experience* 
 
 
Job Title: Junior Business Analyst 
Location: 2 Broadway, New York, NY (Hybrid &ndash; 3 days onsite/2 days remote) 
Duration: 6 Months (with potential for extension) 
Start Date: August 15, 2026 
W2 Hourly Rate: $48/hour 
Application Deadline: July 31, 2026 
 
Overview: 
 
We are seeking a Junior Business Analyst who will support our public-sector client by coordinating project activities, analyzing business and data needs, and improving operational processes. The role will leverage Microsoft 365, Visio, Excel, and Power BI to organize information, develop clear documentation and visualizations, and support effective stakeholder collaboration and project delivery. 
 
 
Duties:
<ul><li>Coordinate project activities, meetings, documentation, and follow-up items based on subject matter expert availability and project needs.
</li><li>Gather, organize, and analyze business, process, and data requirements to support project planning and operational improvements.
</li><li>Document current-state and future-state processes, workflows, and business requirements using Microsoft Visio and other Microsoft 365 tools.
</li><li>Create and maintain SharePoint sites, document libraries, permissions, and access controls to support secure information sharing and collaboration.
</li><li>Organize Microsoft Teams channels, files, and collaboration structures, and support document management across Teams and OneDrive.
</li><li>Use Excel to clean and analyze data, create pivot tables, apply lookup functions, and prepare clear project and business reports.
</li><li>Develop and maintain Power BI dashboards and data visualizations that communicate project status, trends, and business insights.
</li><li>Prepare presentations, status updates, meeting materials, and stakeholder communications using PowerPoint and Outlook.
</li><li>Identify process gaps, inefficiencies, and improvement opportunities, and support the implementation of practical business solutions.
</li><li>Collaborate with business stakeholders, technical teams, and subject matter experts to clarify requirements, resolve issues, and support timely delivery.</li></ul> 
 
 
Mandatory Qualifications:
<ul><li>3+ years of experience in roles involving project coordination, process improvement, or business/data analysis.
</li><li>Strong working knowledge of Microsoft 365, including SharePoint, Teams, OneDrive, Excel, Power BI, PowerPoint, and Outlook.
</li><li>Hands-on SharePoint experience, including site creation, document libraries, and access control.
</li><li>Experience organizing Microsoft Teams channel structures and managing files within Teams.
</li><li>Proficiency with Microsoft Visio.
</li><li>Advanced Excel skills, including pivot tables, lookup functions, and data cleaning.
</li><li>Proficiency with Power BI, including dashboard development and data visualization.</li></ul> 
 
 
Ready to make a difference? 
 
We&rsquo;re eager to connect with qualified candidates committed to delivering results and fostering excellence within client projects. 
 
 
Cloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race,?color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. 
 
AI-Assisted Resume Evaluation Notice 
Cloud and Things &ndash; Talent Management 
 
Notice to Candidates 
Cloud and Things utilizes artificial intelligence (AI) tools to assist our recruiting team in evaluating candidate applications for streamlining; consistency, efficiency, and thoroughness. All hiring decisions are ultimately made by our human recruiting professionals. 
 
How AI Is Used 
Our AI tools assist by:
<ul><li>Analyzing resumes against job requirements
</li><li>Supporting our recruiters in candidate data evaluation
</li><li>Ensuring consistent review standards across all applications
</li><li>Important: AI serves as a support tool only. As noted above, all candidate selection and hiring decisions are made by experienced human recruiters. Your unedited resume will be processed by our AI tools as part of this evaluation. 
</li></ul>Your Data and Privacy 
 
Cloud and Things Data Handling:
<ul><li>Your information is processed securely and used exclusively for recruitment purposes
</li><li>Cloud and Things may store your resume in our Applicant Tracking System (ATS) indefinitely for future job matching opportunities
</li><li>You may opt out of long-term ATS storage by emailing your name and your request to opt out of storing your resume in the ATS to: security@cloudandthings.com
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</li></ul>
 
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<ul><li>AI processing data is retained for a maximum of 90 days, after which it is deleted
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Your Participation 
By submitting your application, you acknowledge this notice and consent to AI-assisted evaluation as part of our recruitment process. You may opt out only by choosing not to submit your resume for consideration.</div>

Junior Business Analyst

Protiviti

<div>JOB REQUISITION
Security Architecture Manager
LOCATION
NEW YORK CITY
ADDITIONAL LOCATION(S)
LOS ANGELES, SAN FRANCISCO
JOB DESCRIPTION
You Belong Here
The Protiviti Career provides opportunity to learn, inspire, and advance within a collaborative and inclusive culture. We hire curious individuals for whom learning is a passion. We lean into our mission: We Care. We Collaborate. We Deliver.
At every level, we champion leaders who live our values of integrity, inclusion, innovation, and commitment to success . Imagining our work as a journey, we believe integrity guides our way, inclusion moves us forward together, innovation creates new destinations, and our commitment to success empowers us to deliver on our vision to be the most trusted global consulting firm.
Where We Need You
Protiviti is looking for a Technology Consulting Manager to join our growing Cybersecurity Program &amp; Strategy &ndash; Architecture practice.
What You Can Expect
Enterprise security is being rewritten in real time. AI and agentic systems are reshaping the threat landscape, cloud-native architectures are now the default, and zero trust has moved from concept to expectation. Our clients, across financial services, healthcare, energy, technology, and manufacturing, need architects who can connect identity, data, network, workload, application, and AI into one coherent design.
That&rsquo;s the job. You&rsquo;ll work alongside Fortune 500 leaders to design security architectures that hold up in front of a CISO, a board, and an auditor, and that actually let the business move faster.
As a Manager, you&rsquo;ll partner with our clients to solve complex business problems and provide impactful advice and solutions. You&rsquo;ll develop lasting relationships with client personnel and further these relationships through quality product delivery. You&rsquo;ll foster a network within the business community and serve as an ambassador of Protiviti in the market. You will also be a mentor, trainer, and coach to Consultants and Senior Consultants as you facilitate the successful completion of project work plans.
What Will Help You Be Successful
<ul><li>You enjoy designing enterprise security architecture.
</li><li>You are motivated to learn and interested in all things related to AI&rsquo;s impact on security, including the latest trends and developments.
</li><li>You&rsquo;re a self-starter. You don&rsquo;t wait to be told what to learn. When a new framework, technology, or threat shows up, you go find out about it on your own because you find the work genuinely interesting. You see problems and you fix them. You&rsquo;d rather build a better way than complain about the current one.
</li><li>You&rsquo;re curious about AI and what it means for security and for your own craft. Maybe you&rsquo;ve experimented with the tools, maybe you&rsquo;re using them to make your own work faster, maybe you&rsquo;ve already started forming views on where this is heading. Wherever you are on that journey, you&rsquo;re actively engaged, not waiting it out.
</li><li>You care about the people on your team. You want to be the reason someone two or three levels below you grows into the next senior leader in this practice.
</li></ul>Do Your Talents Include the Following?
<ul><li>5+ years in security architecture, security engineering, security consulting, or a closely related discipline
</li><li>Hands-on experience designing security solutions in at least one major cloud platform (AWS, Azure, or GCP) and across two or more of: identity, data protection, network security, application security
</li><li>Working knowledge of security frameworks: NIST CSF, ISO 27001, and at least one of CRI Profile, CMMC, or an industry-specific regime and the judgment to know when to apply which
</li><li>Strong communicator. You can explain an architecture decision to an engineer, a CISO, and a board without changing the substance
</li><li>Team leadership experience : Coaching, performance development, and oversight of delivery quality
</li><li>What will make you stand out
<ul><li>Depth in two or more cloud platforms, or specialist depth in cloud-native security (containers, Kubernetes, serverless)
</li><li>A clear, articulated point of view on AI&rsquo;s impact on cybersecurity with hands-on experimentation to back it up
</li><li>Experience with zero trust rollouts beyond the reference architecture stage
</li><li>Familiarity with infrastructure-as-code and policy-as-code (Terraform, OPA, etc.) and modern security tooling (Wiz, Prisma, Defender for Cloud, Okta/Entra, ServiceNow GRC, Archer, and the like)
</li><li>Advanced or architecture-focused credentials: CISSP-ISSAP, SABSA, TOGAF, AWS/Azure Security Specialty, GIAC GDSA/GCSA
</li><li>Published research, conference talks (RSA, Black Hat, DEF CON, BSides), open-source contributions, or active community involvement
</li><li>Experience in a regulated industry vertical (financial services, healthcare, energy, public sector)
</li></ul></li><li>What you&rsquo;ll own
<ul><li>Design enterprise security architectures across cloud, identity, data, network (zero trust, SASE/SSE), application, and where relevant OT/IoT domains
</li><li>Help clients navigate AI&rsquo;s impact on security. Secure adoption patterns, governance, and emerging risks from LLMs and agentic systems. You don&rsquo;t need to be the world&rsquo;s foremost AI expert on day one, but you should be genuinely engaged with where this is going.
</li><li>Translate architecture into roadmaps mapped to NIST CSF 2.0, ISO 27001, CRI Profile, CMMC, and industry-specific regimes and defend those roadmaps in front of executive sponsors
</li><li>Run engagement teams of consultants and senior consultants. Coach them, raise their ceiling, and help build the next generation of architects in the practice
</li><li>Build what comes next . Contribute to reference architectures, accelerators, and thought leadership
</li><li>Help win the work . Partner with directors and managing directors on pursuits, proposals, and client strategy
</li></ul></li><li>What success looks like in year one
<ul><li>Lead the security architecture workstream on 2&ndash;4 multi-quarter engagements
</li><li>Deliver at least one reference architecture or accelerator that becomes a reusable Protiviti asset
</li><li>Contribute to a published point of view, white paper, or external talk
</li><li>Develop one consultant or senior consultant into a stronger architect
</li></ul></li><li>What we offer
<ul><li>Direct involvement in some of the largest, most complex security transformations happening today
</li><li>Investment in your growth. Conferences, certifications, learning time, and access to senior mentors who want you to succeed
</li>A clear path from Manager Senior Manager Associate Director Director<li> Managing Director, with named sponsors at every step
</li><li>Internal mobility across Protiviti&rsquo;s global practice and Robert Half&rsquo;s broader platform
</li><li>A hybrid model built around the work: time on-site with clients and teammates when it matters, and the flexibility to do focused work where you&rsquo;re most effective.
</li></ul></li></ul>Your Educational and Professional Qualifications
<ul><li>Bachelor&rsquo;s degree in a relevant discipline (e.g., CS, CE, MIS, math, physics, EE, or similar) or equivalent demonstrated experience.
</li><li>5+ years working in professional services or industry.
</li><li>Proficiency in Microsoft Office suite applications with specific emphasis on Word, Excel and PowerPoint. Secondary emphasis on Visio and Access.
</li><li>Professional Certification such as CISSP, CISM, CCSP, CISA or equivalent preferred.
</li></ul>Our Hybrid Workplace
Protiviti practices a hybrid model, which is a combination of working in person with a purpose and working remotely. This model creates meaningful experiences for our people and our clients while offering a flexible environment. The ratio of remote to in-person requirements vary by client, project, team, and other business factors. Our people work both in-person in local Protiviti offices and on client sites, which can include local or out-of-state travel based on our projects and client requests and commitments.
Starting salary is based on a full-time equivalent schedule. Placement in the range is dependent upon experience, skills and geographic work location. Below is the salary range for this job.
$138,000.00 - $219,000.00
Our annual bonus plan provides eligible employees additional cash and/or discretionary stock compensation opportunities. Below is the bonus target opportunity for this job.
12%
The total cash range is estimated from the sum of the base salary range plus the bonus target opportunity. Below is the estimated total cash range for this job.
$154,560.00 - $245,280.00
Employees are eligible for medical, dental, and vision coverages, FSA and HSA healthcare accounts, life and accident insurance, adoption and fertility assistance, paid parental leave up to 10 weeks, and short/long term disability. We offer eligible employees a company 401(k) savings and investment plan with an employer match of 50% on the first 6% of your contributions. We provide Choice Time Off (CTO) for vacation, personal needs, and sick time. The amount of (CTO) varies based on years of service. New hires receive up to 20 days of CTO per calendar year. Protiviti also recognizes up to 11 paid holidays each calendar year.
 
 
Learn more about the variety of rewards we offer at Protiviti at https://www.protiviti.com/sites/default/files/2026-01/2026_u.s._benefit_highlights.pdf .
Any benefits outlined are part of our reward offerings for full-time employees in the U.S. Your Open Enrollment materials, insurance contracts, plan documents and Summary Plan Descriptions together comprise the official plan document which legally governs the administration of your benefit plans. Protiviti reserves the right to terminate or amend your benefit plans in any way and at any time.
Protiviti is an Equal Opportunity Employer. M/F/Disability/Veteran
As part of Protiviti&rsquo;s employment process, any offer of employment is contingent upon successful completion of a background check.
Protiviti is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to HRSolutions@roberthalf.com or call 1.855.744.6947 for assistance.
In your email please include the following:
<ul><li>The specific accommodation requested to complete the employment application.
</li><li>The location(s) (city, state) to which you would like to apply.
</li></ul>For positions located in San Francisco, CA: Protiviti will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
For positions located in Los Angeles County, CA: Protiviti will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Protiviti is not registered to hire or employ personnel in the following states &ndash; West Virginia, Alaska.
Protiviti is not licensed or registered as a public accounting firm and does not issue opinions on financial statements or offer attestation services.
JOB LOCATION
NY PRO NEW YORK CITY</div>

Security Architecture Manager

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