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Shape the Future of Data & AI — Architect Solutions That Scale This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $140,000 - $170,000 per year A bit about us: We’re a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we’ve become a 6x Snowflake Partner of the Year (2020–2025) and earned accolades as an award-winning workplace in the US, LATAM, and India. We’re a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You’ll work alongside some of the brightest minds in data engineering and AI/ML — all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $140,000 – $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We’re seeking a Solutions Architect who thrives at the intersection of data engineering solutions. This is a customer-facing, technical leadership role where you’ll design, build, and deliver scalable cloud and data architectures for enterprise clients. What You’ll Do: Design and implement end-to-end data solutions that are secure, performant, and scalable Collaborate with enterprise customers to understand their challenges and translate business needs into technical roadmaps Lead architecture discussions, conduct POCs, create roadmaps, diagrams, and solution documentation Work hands-on with modern data stack tools like Snowflake, Databricks, AWS, Azure, GCP, and streaming/integration tech (Kafka, Fivetran, dbt, Airflow) Support product adoption and services expansion by building trust with customer teams and executives Guide and mentor engineers, helping elevate their technical expertise Deliver presentations and demos that clearly communicate solutions to both technical and non-technical audiences What You Bring: 8+ years as a Solutions Architect/Data Engineer designing and implementing production-grade solutions 5+ years customer-facing experience with enterprise clients Strong proficiency in Python, Java, or Scala and advanced SQL skills Hands-on experience with Snowflake, Databricks, Redshift, or EMR and distributed/cloud data platforms (AWS, Azure, GCP) Familiarity with streaming tools (Kafka, Spark), orchestration (Airflow), and data integration technologies (Fivetran, Matillion, ADF) Excellent communication skills for collaborating with clients and presenting solutions Bachelor’s degree in Computer Science or related field (or equivalent experience) Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. 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Opportunity to consult for one of the top AI/ML shops in the world! This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $100,000 - $170,000 per year A bit about us: As a Permanent Data Engineering Solution Architect (Consulting) in the Tech Services industry, you will be at the forefront of cutting-edge technology and innovation. This role is ideal for a dynamic and driven individual with a solid background in data engineering and solution architecture, who thrives in a fast-paced environment. You will be working with a diverse team of professionals to design, implement, and manage complex data solutions for our clients. This role is not just about technical proficiency, but also about understanding the business needs of our clients and translating them into effective and efficient data solutions. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: 1. Lead the design and implementation of data engineering solutions using Databricks, AWS, and other relevant technologies. 2. Develop and manage CICD pipelines and Deployments to ensure smooth and efficient delivery of solutions. 3. Work closely with clients to understand their business needs, translate them into technical requirements, and develop tailored data solutions. 4. Collaborate with a diverse team of professionals, including data scientists, data engineers, and business analysts, to deliver high-quality data solutions. 5. Drive the adoption of MLOps practices within the organization to enhance the efficiency and effectiveness of our data solutions. 6. Provide technical leadership and mentorship to junior team members. 7. Stay updated with the latest trends and developments in the field of data engineering and solution architecture and leverage them to improve our solutions and processes. Qualifications: 1. A minimum of 5 years of experience in data engineering and solution architecture, preferably in the Tech Services industry. 2. Proven experience with Databricks, AWS, CICD pipeline, Deployments, and MLOps. 3. Excellent customer-facing skills, with the ability to understand and translate business needs into technical requirements. 4. Strong leadership and mentorship skills, with the ability to guide and inspire a diverse team of professionals. 5. Excellent problem-solving skills, with the ability to think creatively and come up with innovative solutions to complex data challenges. 6. Strong communication skills, both written and verbal, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. 7. A strong commitment to continuous learning and professional development. 8. A relevant degree in Computer Science, Data Science, or a related field, or equivalent practical experience. If you are a driven and dynamic professional with a passion for data engineering and solution architecture, and you are excited by the prospect of working in a fast-paced and innovative environment, we would love to hear from you. Apply today and take the next step in your career! Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Hands-On Principal Architect Needed for High-Growth Data Consultancy This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $170,000 - $225,000 per year A bit about us: We are a leading modern data consultancy helping enterprise clients solve their toughest data challenges through cloud, AI, analytics, and engineering solutions. Our partnerships span top platforms including Snowflake, Amazon Web Services, Microsoft Azure, Google Cloud, Databricks, Fivetran, and dbt Labs. Our team operates in a remote-first environment across the United States, Latin America, and India. We hire top performers who thrive in a culture built on ownership, trust, innovation, and autonomy. Recognized as an industry leader with multiple partner awards, hundreds of advanced certifications, and a reputation for delivering measurable client outcomes. Why join us? Competitive Compensation: $170,000 – $225,000 base salary + Bonus Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Own strategic relationships and help expand enterprise accounts Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We are seeking a Principal Solutions Architect who can operate as both a trusted technical advisor and a strategic growth partner. This role is ideal for someone with a strong hands-on background in Data Engineering or Solutions Architecture who has also succeeded in pre-sales, post-sales, account expansion, or client consulting environments. What You’ll Do Client Engagement & Growth Build executive and stakeholder relationships within key accounts Understand long-term business priorities and create technical roadmaps Identify expansion opportunities where additional services or solutions add value Partner with leadership and sales teams to grow strategic accounts Lead responses to RFPs, RFIs, proposals, and solution presentations Develop compelling business cases and technical value propositions Technical Leadership Architect end-to-end modern data solutions for enterprise clients Lead discovery sessions, assessments, proofs of concept, and solution design Guide implementations with focus on scalability, security, and performance Mentor engineers and architects across delivery teams Translate complex business problems into practical technical solutions Required Background 8+ years in Solutions Architecture, Data Engineering, or similar client-facing technical roles Experience in pre-sales, post-sales, consulting, customer success engineering, or account growth Strong hands-on experience with cloud data platforms such as Snowflake, Databricks, Amazon Web Services, Microsoft Azure, or Google Cloud Strong coding skills in Python, Java, and/or Scala Advanced SQL optimization and data modeling skills Experience presenting to technical and business stakeholders Ability to lead technical documentation, roadmaps, and architecture artifacts Bachelor’s degree in Computer Science or related field Nice to Have Experience with Kafka, Spark, Airflow, dbt, Fivetran, Matillion, NiFi Experience with streaming, lakehouse, medallion, or enterprise migration initiatives Prior success expanding accounts or managing strategic customers Cloud certifications or advanced platform credentials Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Today, we do this for leading B2B SaaS companies like AlphaSense, Braze, Canva, Databricks, and Gong. We have the rare opportunity to disrupt not just multiple old-school software vendors, but entire categories of software, services, and labor. Our core values are Dazzle Customers, Deliver Results, and Demand Excellence. We recruit people with a demonstrated track record of excellence and give them the room to do the best work of their lives. If this sounds like the environment where you do your best work, we invite you to build with us. We are proud to be an NYC company, working hard in-person at our office near Penn Station. Our founders helped build Braze and Datadog, two of the city's biggest IPOs, and we're backed by the venture investors behind Square, Instacart, Airtable, and Webflow. 2. Why now We've spent two years earning product-market fit the hard way: 30+ enterprise customers who pay us real money and keep doubling down. We have 4+ years of runway and it’s now time to accelerate. Until now, our founders and engineers have owned design, with support from an experienced contractor. That got us here, but it won't get us where we need to go. We need a designer who can look at what we've built, see both what's right and what's possible, and make the whole thing feel inevitable as we scale from $1M to $100M in ARR. 3. What you’ll do You'll own design across the entire Peerbound product, from our core web app to our Slack and email experiences to embeddable widgets that live on our customers' public-facing sites, which see millions of visitors every day. You'll report directly to our CEO and work closely with our engineers and our customers. Define what Peerbound looks and feels like. Build the design system, component library, and visual language from scratch. Establish the patterns and standards that every future designer and engineer will build on. This isn't about making things pretty — it's about creating a system that scales. Design AI-native experiences. Much of what Peerbound does is powered by AI, and the hardest design problems we face are about making intelligent systems feel trustworthy, intuitive, and useful. How do you surface an AI-generated customer quote so a sales rep trusts it enough to use it in a live deal? How do you design an interface where the content is dynamic, personalized, and constantly changing? These are the kinds of problems you'll solve every day. Ship product, not mockups. You'll work embedded with engineering, designing and iterating in tight cycles. We value designers who prototype, who are comfortable in code or adjacent to it, and who care as much about how something ships as how it looks in Figma. You'll go from user insight to shipped features regularly. Be the voice of the user. Talk to customers directly. Watch how they use the product. Understand where they get stuck, what delights them, and what they don't even know they need yet. Bring those insights back and let them shape the roadmap. 4. Questions you'll help us answer • How do we design a product that serves multiple audiences: (i) marketers who use our web app, (ii) B2B sellers who use Peerbound in email and Slack, and (iii) B2B buyers / website visitors seeing embedded widgets?, • What does a world-class design system look like for a product where the content is dynamic, AI-curated, and always changing?, • How do we onboard customers quickly while revealing deeper capabilities over time?, • How do we make Peerbound feel like the most polished product in our customers' tech stack? 5. Who you are 8+ years in product design, including significant time at a startup or high-growth company where you owned design end-to-end. You've built design systems from scratch and you've shipped products that real users depend on daily. You're fluent in Figma and comfortable enough with code and AI tools that you can build interactive prototypes, not just static screens. You have a strong eye for what AI-native product design looks like. You've thought seriously about how to design for AI-generated content, dynamic interfaces, and trust, or you've been building in this space already. Beyond the tools: you have exceptional taste and the conviction to defend it, and on the flip side, you are pragmatic enough to judge when to ship something great and iterate rather than wait for perfection. You care about the details that most people don't notice, and you believe that design at its best delivers an unforgettable experience to the user. 6. Compensation Salary of $210,000 to $240,000/year plus meaningful equity and benefits (fully covered medical/vision/dental, 401K, flexible PTO). In-person in NYC, 4 days in-office. 7. Note from the CEO This company represents my life's work. I've been part of two IPOs, and I want to build the kind of company at Peerbound where working here marks an inflection point in everyone's career, and leads to the kind of bonds that last a lifetime. This is our first full-time design hire. I am the type of person that really, really values great design but cannot produce it myself. Design, to me, goes much deeper than how a product looks. It’s how a product feels to the user, which is the product of several excellent decisions made by the designer. AI opens up both new opportunities and new challenges for designers, and you will be neck-deep in these challenges, which are still largely unresolved in my view. The best B2B software in the world still feels clunky, forgettable, and like it was designed by committee. I want Peerbound to be the exception. I want our customers to open our product and feel like someone actually cared. If you want to define the design language for an entire company, if you get energy from building systems from nothing, if you want to not just build designs but have a heavy hand on our roadmap, and if you believe B2B software deserves the same craft and intention as the best consumer products, I’d love to meet you.

At CAVA we make it deliciously simple to eat well and feel good every day. We are guided by a Mediterranean heritage that’s been perfecting how to eat and live for four thousand years. We prioritize authenticity, curiosity, and the pursuit of excellence in everything we do. We are working towards something big together. We foster a culture built on five core values: • Generosity First, Always: We lead with kindness. Our best work happens when we act in service of others., • Constant Curiosity: We are eager to learn, grow, and explore beyond the obvious., • Act with Agility: We welcome change; it’s the only constant. We embrace, adjust, adapt., • Passion for Positivity: We greet each day with warmth and possibility. The Product Manager at CAVA is responsible for defining, building, and optimizing enterprise products that drive operational excellence and deliver measurable business value. This role ensures that products are treated as strategic assets, not just operational byproducts, and takes end-to-end ownership of the product lifecycle—from initial creation through ongoing consumption and continuous improvement. Sitting at the intersection of business strategy, technology, and user experience, the Product Manager partners with cross-functional teams to translate business needs into actionable product requirements, ensuring solutions are scalable, intuitive, and aligned with enterprise priorities. Success at CAVA: At CAVA, Managers oversee daily execution for themselves and their team of analyts and make operational decisions that keep things running smoothly. We look for leaders who support team development, lead with agility, foster inclusion, and drive consistent results aligned with team and company priorities. In this role you will be expected to lead a team of analysts and scale the team as needed based on business needs. What You’ll Do: Product Strategy & Vision • Lead a Data Product team supporting CAVA’s FP&A business unit, • Direct oversight for data analysts, • Define the vision, strategy, and roadmap for enterprise products, ensuring alignment with CAVA’s business goals., • Treat products as strategic assets, guaranteeing relevance and value over time., • Identify high-impact opportunities to enhance efficiency, decision-making, and innovation., • Translate business needs into clear user stories, requirements, and specifications., • Oversee end-to-end product development, including prioritization, sprint planning, testing, and release management., • Act as the bridge between business and engineering teams, serving as a subject matter expert (SME)., • Partner with stakeholders to identify, measure, and prioritize product-driven opportunities., • Ensure products comply with enterprise governance, privacy, and security standards., • Design experiences aligned to specific personas and use cases., • Develop training materials, user guides, and communication plans to support adoption. Required • 3–7+ years of experience in data product management or related technical/business roles., • Proficient in SQL or Python, • Experience with modern data architecture (data mesh, lakehouse, etc) and data visualization tools, • Strong understanding of product lifecycle management and agile methodologies., • Excellent communication, influencing, and collaboration skills., • Experience managing products in a high-growth environment., • Familiarity with modern tools and platforms (e.g., Databricks, APIs, operational dashboards)., • Ability to maintain stationary position to be able to operate a computer and other office equipment, • Must be able to identify, analyze and assess details, • For certain positions, must be able to occasionally move or transport items up to 50 pounds, • Ability to communicate with others and exchange information accurately and effectively, • Constantly positions self and move about to support ordinary restaurant or food production support or office operations, as applicable, • Competitive salary, plus bonus and long-term incentives*, • Early Wage Access!, • Unlimited PTO, paid parental leave, plus paid opportunities to give back to the community, • Health, Dental, Vision, Telemedicine, Pet Insurance plus more!, • 401k enrollment with CAVA contribution, • Company-paid STD, LTD, Life and AD&D coverage for salaried positions*, • Free CAVA food, • Casual work environment, • The opportunity to be on the ground floor of a rapidly growing brand, • All exempt and non exempt employees are eligible for benefits. Benefits are effective the 1st of the month following 30 days of service and you have until the day before the effective date to enroll. A new hire can enroll in our benefit program by selecting a link that is emailed directly to the new hire at their personal email address once hired., • Please note that visa sponsorship is not available., • The posting range is an all cash range. *Indicates qualifying eligible positions only CAVA – Joining “A culture, not a concept” As an equal opportunity employer, CAVA considers applicants for all positions without regard to race, color, sex, religion, national origin, disability, age, height, weight, marital status, sexual orientation, familial status, genetic information or any other characteristic or protected classes as defined by federal, state, or local law. California applicants: Please visit our Notice at Collection and Privacy Policy to learn about our information practices in the job application and employment context.

Today, we do this for leading B2B SaaS companies like AlphaSense, Braze, Canva, Databricks, and Gong. We have the rare opportunity to disrupt not just multiple old-school software vendors, but entire categories of software, services, and labor. Our core values are Dazzle Customers, Deliver Results, and Demand Excellence. We recruit people with a demonstrated track record of excellence and give them the room to do the best work of their lives. If this sounds like the environment where you do your best work, we invite you to build with us. We are proud to be an NYC company, working hard in-person at our office near Penn Station. Our founders helped build Braze and Datadog, two of the city's biggest IPOs, and we're backed by the venture investors behind Square, Instacart, Airtable, and Webflow. 2. Why now We've spent two years earning product-market fit the hard way: 30+ enterprise customers who pay us real money and keep doubling down. We have 4+ years of runway and it’s now time to accelerate. The product ‘wows’ on the first demo. The ICP is clear. The pain is real and every GTM leader we talk to feels it. What we need now is a high-agency individual with leadership potential who can build a repeatable, scalable sales motion on top of this strong foundation. We are early enough that every deal you close will change the company, but far enough along that the product is real, the foundation is solid, and the opportunity is massive. The deals you close won't just hit a number; they'll define the playbook for every AE who comes after you. 3. What you’ll do You'll own the full sales cycle at Peerbound, from first touch to signed contract. You'll work directly with our CEO and Head of Sales to build the enterprise motion from the ground up. This is not a role where you inherit a book of business; this is a role where you create one. Build pipeline from scratch. Prospect into Marketing leaders at B2B SaaS companies. Generate your own opportunities through outbound, events, and relationships. While you will have SDRs helping you, you will not be successful if you can’t fill your own pipeline. You'll also have a great product built by a world-class engineering team, strong positioning, and the freedom to be creative about how you fill the funnel. Run and close complex deals. Lead executive-level discovery. Tell a compelling story about why customer proof points are the next competitive battleground. Articulate clear value and ROI to every buyer you sell to. Navigate multi-threaded procurement cycles across security, legal, procurement, and finance. Close real contracts with real urgency. Shape the playbook. Every process, every template, every lesson learned will have your name on it. Feed buyer insights back into product, marketing, and GTM strategy. Our sales team will be built on the foundation you lay. 4. Who you are 5+ years of full-cycle B2B SaaS sales, with experience closing five-figure and six-figure deals. You've carried a $1M quota and you know the difference between forecasting a deal and actually closing one. You can sell to VPs and C-suite buyers and you can sell change, not just software. You have a quantifiable, consistent track record of outperformance in your career. You can build pipeline without relying on inbound or SDRs. You know how to create urgency, build relationships, and stay disciplined operationally. You crave the pace, ambiguity, and autonomy of a startup-up where you have to figure things out yourself. Beyond the resume: you're high-output, self-motivated, and competitive in the way that makes everyone around you better. You want your fingerprints all over how Peerbound wins. 5. Compensation OTE of $210,000 to $270,000/year (with uncapped commission) plus meaningful equity and benefits (fully covered medical / vision / dental, 401K, flexible PTO). In-person 5 days a week in our NYC office near Penn Station. 6. Note from the CEO This company represents my life's work. I've been part of two IPOs, and I want to build the kind of company at Peerbound where working here marks an inflection point in everyone’s career, and leads to the kind of bonds that last a lifetime. This is our first Account Executive hire. When I am evaluating talent for this role, I weigh future leadership potential highly because I believe we’re hiring the sales leaders of the future. I've sold every deal at this company so far, and I will teach you everything I know. The right person for this role will be better at it than I am within six months, and that's what I'm looking for. If you'd rather build a sales org than join one, if you get energy from ambiguity instead of dreading it, and if you want to be at a company where your deals genuinely shape the trajectory of the business, let’s talk.

Technical Account Manager – Enterprise Data, AI & Cloud Location: On-site in our NYC Office Role Overview The Technical Account Manager (TAM) is responsible for owning and expanding enterprise and mid-market client relationships across the Data, AI, and Cloud technology ecosystem. This role sits at the intersection of enterprise account management, technical advisory, and delivery leadership. The TAM acts as a trusted partner to client stakeholders, translating complex technical hiring needs into effective talent solutions while driving sustained account growth and revenue performance. Success in this role requires a senior staffing professional who can combine technical market credibility, enterprise relationship management, and strong commercial performance to grow strategic accounts and deliver high-value technical talent. This role owns client relationships, revenue performance, and account growth for assigned accounts and newly developed business. Revenue & Performance Expectations • Annual Gross Profit Target: $1.2M – $1.8M GP, • Expected Account Portfolio: $3M – $5M in managed or developed client accounts, • Account Development Requirement: Demonstrated ability to build and scale accounts from $0 to $2M+ annual revenue, • Deal Mix: Contract staffing, contract-to-hire, and permanent placements across technical roles, • Delivery Model: Partner with internal recruiting teams to execute high-volume and specialized technical hiring, • Full ownership of account strategy, client engagement, and revenue outcomes within assigned portfolio Key Responsibilities Enterprise Account Ownership • Own and manage relationships with enterprise and mid-market clients hiring within Data, AI, and Cloud technology environments, • Develop long-term partnerships with hiring managers, directors, and executive stakeholders, • Serve as the primary client contact for technical hiring strategy and delivery execution Account Growth & Revenue Development • Identify and pursue expansion opportunities within existing client organizations, • Build strategic hiring partnerships that generate recurring revenue streams, • Successfully scale new client relationships from initial engagement to $2M+ annual revenue accounts, • Maintain strong pipeline visibility and forecast revenue performance against annual GP targets Technical Market Advisory • Provide consultative guidance on technical hiring strategies across the modern data stack, • Advise clients on compensation trends, market availability, and hiring timelines for specialized technical talent, • Maintain fluency across Data Engineering, AI/ML, Cloud Architecture, and modern data platform roles Delivery Leadership • Partner with internal recruiting teams to ensure consistent delivery quality across assigned accounts, • Lead role intake discussions and technical requirement calibration with client stakeholders, • Ensure candidate pipelines align with client expectations for technical capability and experience Market Expertise • Maintain strong understanding of the modern data and cloud technology landscape including platforms such as AWS, Azure, Databricks, and Snowflake, • Stay current on emerging skill sets across Data Engineering, Machine Learning, Analytics Engineering, and Cloud Infrastructure Required Qualifications • 10+ years of experience in technical staffing, talent solutions, or enterprise recruiting environments, • Proven success managing enterprise client relationships within technical hiring environments, • Demonstrated experience supporting roles across Data, AI, Cloud, or modern data platform ecosystems, • Proven experience filling Engineering, Architecture, and Senior IT Leadership roles within enterprise technology environments, • Track record of building and scaling client accounts from $0 to at least $2M in annual revenue, • Strong commercial mindset with experience meeting or exceeding individual GP or revenue targets, • Ability to operate as a trusted advisor to senior client stakeholders Preferred Experience • Experience working with enterprise consulting firms, system integrators, or technology partners within the data ecosystem, • Familiarity with hiring across modern data platform roles including:, • Data Engineers, • Machine Learning Engineers, • Cloud Architects, • Analytics Engineers, • Data Platform Engineers, • Technical Directors and Senior IT Leadership roles Key Success Metrics • Annual GP performance against $1.2M–$1.8M revenue target, • Growth and expansion of enterprise client accounts, • Successful development of $2M+ revenue accounts, • Client satisfaction and retention, • Consistent delivery of high-quality technical placements Compensation Range: $100,000-$120,000 base salary + commission *Base salary is dependent on experience and tenure. On target earnings are can vary based on performance. Benefits: Medical, Dental, Vision, 401k options, Long and Short Term Disability, Life Insurance, and 22 days of PTO year 1! This is not an HR or Internal recruitment opportunity. This role is a sales-based role working to achieve sales-based results! This vacancy is for a permanent, full-time role based in the US. Applicants must have independent legal authorization to live and work in the US. It is the policy of Tenth Revolution Group to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law. Find out more about a career in recruitment with Tenth Revolution Group and join us on our incredible adventure:

About Sigmoid Analytics: Sigmoid unlocks business value for Fortune 1000 companies through expert data engineering, data science, and AI consulting. We solve complex challenges for leaders in CPG, Retail, BFSI, and Life Sciences. With 10+ delivery centers in the USA, Canada, UK, Europe, Singapore, and India, we deliver cutting-edge data modernization and generative AI solutions. Join us to shape the future of data-driven innovation! Why Sigmoid? • Inc. 500 Fastest-Growing Companies (4 years running), • Deloitte Technology Fast 500 (4 years running), • Top Employer: AIM’s 50 Best Firms for Data Scientists Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success. Desired Experience : • 8–12 years of overall experience., • 3+ years in consulting or client-facing analytics roles., • 3+ years of experience in CPG or adjacent commercial analytics environments., • Proven experience engaging with senior stakeholders and leading client conversations., • Strong track record in data science, statistics, and machine learning Role & Responsibilities : • Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions, • Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC)., • Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders, • Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities., • Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI, • Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required., • Perform a role that involves a combination of hands-on contribution and customer engagement, • Contribute to organization building through training, mentoring, and developing repeatable analytic approaches Primary Skills (Mandatory) • Strong foundation in ML and statistical concepts., • Proficiency in SQL, Python, and PySpark., • Experience with Snowflake, BigQuery, Azure, AWS, or Databricks., • Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics., • Ability to convert rigorous analysis into strategic recommendations., • Strong project management, communication, and team leadership skills, • Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space Secondary Skills (Good to have): • Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics., • Data engineering / MLOps experience., • Dashboarding experience with Power BI or Tableau, • Exposure to Agentic AI / LLMs or any other Gen AI capabilities

Data Engineer G-III Apparel Group Department: Data & Analytics Reporting To: VP Data Insights Location (On-Site): New York, NY - Fashion District About G-III Apparel Group, Ltd. | ___ G-III Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships. Position Summary The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy. Key Responsibilities • Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems, • Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making, • Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy, • Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis, • Work with engineering teams to implement automated anomaly detection and data monitoring solutions, • Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards, • Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services, • Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts, • Contribute to the development of data governance standards, data documentation, and metadata management practices, • Support continuous improvement of the data platform through automation, testing, and performance optimization, • Ensure timely and reliable data delivery to support operational and strategic business needs Qualifications Required: • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience, • 3+ years of experience in data engineering or a similar data infrastructure role, • Strong proficiency in SQL and experience working with large relational datasets, • Programming experience in Python (including data processing libraries such as PySpark), • Experience designing and implementing ETL/ELT pipelines and data integration workflows, • Experience with modern cloud platforms such as AWS, Azure, or GCP, • Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling, • Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar), • Understanding of data modeling, data governance, and data quality best practices, • Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks, • Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences, • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment Preferred: • Experience building scalable pipelines using Spark or distributed processing frameworks, • Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks, • Exposure to streaming or real-time data architectures, • Experience implementing data quality frameworks and governance programs, • Familiarity with business intelligence tools such as Power BI, • Prior experience in retail, fashion, or consumer products industries, • Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity, • Master’s degree in a related quantitative or technical field What We Offer • Competitive base salary and performance-based incentives, • Comprehensive medical, dental, and vision benefits, • 401(k) with company match, • Paid time off, holidays, and company-sponsored wellness benefits, • Employee discounts across G-III brands, • A collaborative, entrepreneurial work environment with career growth opportunities Compensation Salary Range: $120,000 – $135,000 base (commensurate with experience) Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law. G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.

About the Role Finance Technology organization is modernizing its stress forecasting infrastructure. We're looking for a Java/Scala engineer to help drive that transformation. You'll be building next-generation platforms while keeping critical legacy systems running smoothly. About Finance Technology: Finance Technology delivers innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics. The team leverages advanced data platforms and modern engineering practices to support the firm's finance division, ensuring accuracy, compliance, and strategic business insights. Responsibilities: Lead the design, development, and delivery of scalable, enterprise-grade stress testing and forecasting platform in collaboration with Modelers and Strategists. Architect and implement robust software systems using Java, Scala, Front end, and other modern technologies, ensuring best practices in SDLC, code quality, and performance. Mentor, lead, and motivate a high performance team of engineers Maintain and support a highly customized legacy DFAST model during the platform transition Drive the adoption of GenAI, Copilot, and AI-driven development practices to enhance automation, reporting, and developer productivity. Agentic Coding Promote agile methodologies, automated testing, and CI/CD pipelines for efficient and reliable software delivery. Collaborate with business stakeholders, product owners, and cross-functional teams to define requirements, evaluate tools, and deliver innovative solutions aligned with business goals. Required Experience: 8+ years of backend development experience or 3+ years in a lead developer capacity Deep understanding of databases including Snowflake, data structures, and query languages Deep understanding of algorithms, design patterns, and modern SDLC practices Proven experience building and scaling enterprise-level applications Demonstrated experience leveraging GenAI, Copilot, or AI/ML tools for software development, automation, or reporting Business acumen and prior exposure to finance, investment banking, or related domains Strong problem-solving, analytical, and communication skills Background in Financial Services or Banking Preferred Experience: Full-stack development experience Angular Knowledge of Databricks Ability to quickly learn new technologies Familiarity with Power BI, Apache Airflow, OLAP tools, and workflow automation Experience with tool evaluation, POC delivery, and greenfield project leadership Regulatory reporting (DFAST, CCAR, or similar) This is a Contract to Hire position based out of New York, NY. The pay range for this position is $80.00 - $85.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Position: Senior Manager, Data Management (Financial Services) (Client-facing/Sales) Location: New York, NY (Hybrid) Type: Full-Time Pay: $140,000 - $160,000 per year The ideal candidate brings strong management consulting experience and deep financial services data management expertise, with the ability to lead complex data initiatives that support regulatory compliance, analytics, and digital transformation. This role combines hands-on client delivery with practice growth, including shaping offerings, supporting revenue generation, and deepening senior client relationships. We are looking for someone who wants to build, not just deliver—a data leader who thrives at the intersection of architecture, governance, and business strategy, and is motivated to help scale a practice while driving meaningful impact in the NYC market. Key Responsibilities • Apply deep domain expertise and management consulting discipline to shape, lead, and deliver complex client engagements focused on business architecture, data architecture, metadata management, data governance, and data operating model design, primarily within financial services and other data-intensive industries., • Partner with clients to design and operationalize enterprise data architectures, including conceptual, logical, and physical data models aligned to business capabilities and strategic objectives., • Lead metadata management and data catalog initiatives, including business glossary development, lineage, ownership models, stewardship workflows, and tool enablement (e.g., Collibra or similar platforms)., • Serve as a trusted advisor to senior client stakeholders by translating technical data concepts into clear business value, risk reduction, and operational efficiency outcomes., • Actively support practice growth by contributing to go-to-market strategy, solution development, thought leadership, and proposal efforts aligned to Data Management offerings., • Continuously deepen technical and industry expertise while remaining fungible and able to support adjacent practices when client needs require., • Achieve target project utilization of 80% by actively originating and supporting opportunities aligned to personal expertise., • Own an individual annual sales production target, contributing directly to practice and firm revenue goals., • Collaborate closely with Risk & Regulatory and AI & Analytics practices to deliver integrated, end-to-end solutions that connect architecture, governance, analytics, and regulatory outcomes., • Identify gaps in tools, methodologies, or regulatory capabilities and propose practical enhancements to strengthen client impact and practice depth., • Lead client delivery within our Service Delivery Framework, ensuring high-quality outcomes, strong delivery governance, and excellent client satisfaction., • Effectively manage, mentor, and develop Managers, Senior Consultants, and Consultants through clear expectations, coaching, performance feedback, and career development., • Drive utilization and team effectiveness through proactive staffing, demand planning, and alignment of work to team capabilities., • Ensure operational rigor across forecasting, time tracking, risk management, and engagement governance., • Represent our values in in-person client meetings, industry events, and NYC-based relationship-building activities, helping to strengthen our local market presence. Experience and Qualifications • Bachelor’s degree required; MBA or advanced degree in Finance, Accounting, or a related discipline strongly preferred., • 8+ years of experience in risk and regulatory compliance, with demonstrated success in leadership roles., • Advanced proficiency in PowerPoint, Excel, and the entire Microsoft Office Suite., • Extensive experience managing large-scale consulting engagements and delivering measurable results., • Strong written and verbal communication and presentation skills, including interpreting complex regulatory content for business audiences., • Deep hands-on experience with:, • Business architecture design, • Enterprise data architecture and data modeling, • Metadata management, business glossaries, and lineage, • Data Lakes, Data Warehouses, and Data Lakehouses, • Platforms such as Snowflake and Databricks, • Data integration tools such as Kafka and Talend, • Data modeling tools such as Erwin, ER Studio, • Cloud Data Management fundamentals (ideally CDMC certified), • Strong understanding of how data architecture and metadata enable regulatory compliance, analytics, operational efficiency, and digital transformation., • Proven ability to lead large, multi-workstream consulting engagements and deliver measurable business outcomes.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 5+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$140,000—$160,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights. What You'll Do: • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics., • Develop medallion or similar data architectures within OneLake., • Optimize performance, cost, and scalability across Fabric workloads., • Establish CI/CD processes and DevOps practices for Fabric deployments., • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks., • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities., • Design dimensional and semantic models to support PowerBI and enterprise analytics., • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC)., • Ensure regulatory compliance (eg., GDPR, SOC 2)., • Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices., • Support incident response and root-cause analysis for production workloads., • Translate business requirements into technical architecture., • Collaborate with analytics, BI, data science, and application development teams. What You'll Bring: Education/ Certifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience). Required Skills/Qualifications: • 5+ years of experience in data engineering, data warehousing, or analytics engineering., • 2+ years of hands-on experience with Microsoft Fabric., • Experience designing lakehouse architectures at enterprise scale., • Proficiency in SQL, Python, Spark, etc., • Experience deploying and managing Microsoft Purview for governance and lineage., • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals)., • Understanding of Azure/Fabric billing and utilization analysis., • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)., • Strong analytical and problem-solving skills. Preferred Skills/Qualifications: • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate)., • Experience with Synapse Link., • Experience with DataBricks, • Experience with MDM platforms (esp. Profisee)., • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow, • Experience integrating streaming or near real-time data workloads., • Familiarity with PowerBI semantic models and enterprise BI governance., • Experience implementing data quality frameworks and metadata-driven pipelines., • Knowledge of Delta Lake and open table formats., • Master's degree in a quantitative or technical discipline. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Our client is seeking a Quantitative Engineer to support the development, migration, and enhancement of risk/statistical financial models. This role focuses on understanding existing C++ based models, migrating them to a python + Databricks cloud environment, and enabling scalable model execution against large datasets. The ideal candidate combines strong quantitative and engineering skills with the ability to work across technical and business stakeholders, contribute to requirements gathering, and support time-sensitive deliverables. (We are looking for a technical hands on Quantitative developer, not someone who has led teams of Quants) Key Responsibilities: • Develop and maintain database-integrated solutions., • Strong programming in Python and C++., • Experience building statistical or risk models., • Financial services experience., • Prior Experience as a Quant or ML Engineer, • Experience migrating applications or models to the cloud., • Hands-on software development experience., • Experience working with large datasets., • Strong problem-solving and critical-thinking skills., • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. About TEKsystems and TEKsystems Global Services We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

Presidio, Where Teamwork and Innovation Shape the Future AtPresidio, we're at the forefront of a global technology revolution, transforming industries throughcutting-edge digital solutions and next-generation AI. We empower businesses-and their customers-to achieve more through innovation, automation, and intelligent insights. The Role A Presidio Digital Services Principal Architect, Healthcare and Life Sciences (HCLS), leads presales discovery, analysis, architecture, design, proposals, and scope-of-work creation, translating customer requirements into outcome-focused solutions through direct client engagement with HCLS accounts. Leveraging sharp business acumen alongside technical expertise, a builder mentality, presales methodology, and strong relationships (clients, Presidio stakeholders, and vendor partners); the Principal Architect assesses industry, customer, technical, and sales context to position solutions that deliver measurable, long-term value. This is a client-facing, 100% presales role that operates at the intersection of sales, delivery engineering, and customer executives to ensure we only propose solutions that are desirable for the client, feasible for delivery, and viable for Presidio Key Responsibilities: • Drive Digital Services Sales. In partnership with sales teams, formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of Presidio Digital Services - application modernization, application development, software development lifecycle (SDLC), artificial intelligence (AI), and data estate and platform modernization. You act as the primary technical lead on pursuits, shaping solutions that sales can confidently position and close., • Understand Customer Current State.Proactively drive discovery and understanding of customer IT current state, goals, outcomes, and initiatives across Business, Technical, Operational, and Financial facets. Research industry trends and topics and develop discovery approaches. Develop and lead workshops to drive relevant discovery. Document customer current state to assist customer and sales teams target future state architectures and roadmaps., • Technical Opportunity Leadership.Lead opportunities for relevant services to achieve technical win of Presidio services solutions. Identify customer stakeholders and their individual success criteria and needs. Create and lead technical solution approaches and next steps aligned to customer stakeholders. Align, vet and coordinate Presidio technical resources as needed. Engage Manager/VP/Director level at clients directly., • Practice Delivery Engagement. Act as a bridge between sales and delivery engineering to ensure customer success. Collaborate closely with delivery leads to shape approaches, validate feasibility, right-size risk, and author formal scopes of work. Ensure that what is proposed in presales is realistic, deliverable, and aligned with the way our teams actually execute., • Solution Architecture, Design and Documentation. Analyze and assess client requirements and determine target services approach, solutions, and roadmaps. Create and deliver compelling technical proposals directly to clients, including relevant drawings, diagrams and analysis. Clearly articulate trade-offs, options, and phased approaches that align with client constraints and priorities., • Technical Excellence & Evangelism.Maintain a high level of technical excellence and evangelism across multiple relevant solution architecture and product areas, including emerging AI-driven development and data practices. Understand Presidio's accelerators, reference architectures, and AI-in-SDLC practices well enough to position them credibly in client conversations, while partnering with delivery teams that own detailed implementation. Participate in technical communities, internal knowledge sharing, and external presentations as appropriate., • Account Leadership.Actively participate in client account related activities that establish the Solution Architect as a trusted advisor internally and with customers, such as: Account planning, EBCs, and strategic workshops. Help shape multi-year digital, data, and AI roadmaps in partnership with sales and delivery leadership., • Team Engagement and Enable Culture.Engage Presidio team members, actively participate in team activities, and contribute on collaboration tools to drive an open, positive, inclusive, resilient, change-orientated team culture. Be a steward of the PRESIDIO CORE VALUES -Excellence, Forward-Thinking, Accountability, One Presidio., • Partner Relationships.Develop working relationships with vendor partner teams and peers, prioritizing the hyper-scaler cloud solutions and relevant ecosystems. Contribute to and drive execution of relevant partner vendor GTM strategies., • Continuous Improvement & Innovation. Actively plan and execute growth and career development activities. Seek and collaborate on improvements to presales processes, qualification, and solutioning patterns. Stay current on Presidio's internal practices, methodologies, and AI accelerators so you can continuously refine how you position our differentiated value to clients., • Bachelor's degree or equivalent experience and/or military experience, • Overall 10+ years of relevant experience, • 7+ years of architecture, design, implementation, and/or consulting in digital and/or cloud technologies, • 5+ years hands-on experience with AWS, Azure, or GCP, with deep expertise in at least one major cloud and readiness to work with others, • 5+ years of specific domain experience in one or more of the following areas:, • Application development: Building new products, features, or user experiences, • Application modernization: Refactoring legacy codebases, re-architecting monoliths, upgrading frameworks (beyond lift-and-shift or containerization only), • Data engineering and modernization: Modern data platforms (Snowflake, Databricks), data pipelines, large-scale data migration programs, analytics solutions, cloud-native data services (AWS Glue/Redshift/EMR, Azure Synapse/Data Factory, GCP BigQuery/Dataflow), • Software development lifecycle (SDLC) optimization: CI/CD for developer velocity, AI-augmented development, and testing automation, • Artificial intelligence (AI) and Generative AI (GenAI): RAG pipelines, LLM-embedded applications, multi-agent systems, and agentic orchestration approaches, • Extreme ownership mentality with a self-starting approach to ambiguous problems without waiting for direction, • Demonstrated grit and resilience with a track record of running toward tough challenges and navigating uncertainty, • Intellectual curiosity with evidence of independently learning emerging technologies (for example, GenAI, agentic AI, modern data platforms, or cloud services) outside formal training, • Collaborative mindset with humility and the ability to work across sales, delivery engineering, and partner teams, deferring to domain experts when appropriate, • Growth mindset with willingness to course-correct upon feedback and actively seek mentoring and coaching, • Aptitude for consultative presales with a context-first problem-solving approach, • Proven ability to deeply understand customer business friction, desired outcomes, and constraints before architecting solutions, • Demonstrated comfort leading presentations, solution demonstrations, and whiteboard sessions with both technical and executive audiences, • Expert time management and ability to set expectations and provide timely feedback loops to leadership and account teams, • Hands-on engineering background with proven experience writing, reviewing, or refactoring code, or architecting data solutions (not just infrastructure or platform design), • Deep roots in software development or data engineering, with experience building, testing, and shipping software or data solutions, • Prior experience in a presales solution architect, principal architect, or similar role bridging sales and delivery is strongly preferred, • Amazon Web Services (AWS), Google (GCP), and/or Microsoft (Azure) architect-level certifications, • Experience in delivering modern application architectures through hands-on development or code refactoring (for example, microservices, event-driven architectures, serverless, API-first design), • Hands-on software engineering or code development experience (for example, Python, Java, C#, JavaScript/TypeScript, Go, or similar), • Experience with modern data platforms and tools: Snowflake, Databricks, AWS (Glue, Redshift, EMR, Lake Formation), Azure (Synapse, Data Factory, Databricks), GCP (BigQuery, Dataflow, Dataproc), • Data engineering experience including building data pipelines, ETL/ELT, data modeling, data governance, or analytics solutions, • Experience with large-scale data migration or modernization programs, • Experience building GenAI-embedded solutions: RAG pipelines, LLM-based applications, prompt design, vector databases, • Experience with agentic AI frameworks and orchestration: LangGraph, AutoGen, crewAI, Semantic Kernel, or custom multi-agent systems, • Familiarity with data engineering for AI/ML, including feature engineering, vector databases, and data preparation for LLM training or fine-tuning, • Familiarity with AI-accelerated development tools such as GitHub Copilot, Cursor, Amazon CodeWhisperer, Tabnine, or similar, • Experience using AI in the SDLC, including code generation, automated testing, documentation generation, or code review assistance, • Demonstrated curiosity about AI's impact on software and data delivery (for example, through webinars, articles, experiments, or peer discussions), • DevOps experience focused on application delivery and developer productivity (rather than platform operations alone), • Experience with reviewing and/or writing statements of work (SOW), • Experience and/or ability to prepare RFP/RFI responses, proposals, and solution documents, • Demonstrated comfort leading CIO/CTO-level presentations, solution demonstrations, and whiteboard sessions, • Experience working in Healthcare and Life Sciences (HCLS) solutions, companies, or regulated environments, • Awareness of GxP compliance frameworks, 21 CFR Part 11, HIPAA/PHI data handling, and related regulatory constraints, • Familiarity with FHIR interoperability standards, HL7, and EHR/EMR integrations (for example, Epic, Cerner) Here,your impact is real.Whether you're harnessing the power ofGenerative AI, architecting resilientdigital ecosystems, or drivingdata-driven transformation, you'll be part of a team that is shaping the future. Ready to innovate? Let's redefine what's next-together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio's expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit . Applications will be accepted on a rolling basis. Presidio has a strong commitment to the community we serve and our employees. As an Equal Opportunity Employer, we strive to have a workforce that includes the community we serve. Presidio is an Equal Opportunity Employer Disability/Vets. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories. The "Know Your Rights" Poster is available here: Presidio's EEO Policy Statement is available here: Presidio is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an email to and let us know the nature of your request and your contact information. Presidio is a VEVRAA Federal Contractor requesting priority referrals of protected veterans for its openings. State Employment Services, please provide priority referrals to . Notice to Massachusetts Candidates: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. #LI-JM3 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

Judi Health is an enterprise health technology company providing a comprehensive suite of solutions for employers and health plans, including: • Capital Rx, a public benefit corporation delivering full-service pharmacy benefit management (PBM) solutions to self-insured employers,, • Judi Health, which offers full-service health benefit management solutions to employers, TPAs, and health plans, and Position Summary: Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products. Position Responsibilities: • Build, test, and document Snowflake data models and business logic in dbt, • Apply and improve data quality, testing, observability, and lineage standards, • Collaborate with cross-functional partners to define data contracts and interfaces, • Contribute to Capital Rx's modular data platform and client-specific data configurations, • Participate in design reviews; propose scalable, maintainable patterns, • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes, • Optimize cost and performance of jobs, storage, and queries with guidance, • Write clear documentation and support knowledge sharing, • Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance Preferred Qualifications: • 3+ years in data engineering, software engineering, or related field, • Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling, • Hands-on dbt experience (models, tests, documentation, deployments), • Experience with orchestration (Dagster or Airflow) and scheduling best practices, • Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred), • CI/CD for data (Git-based workflows, environments), and basic IaC familiarity, • Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools), • Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness), • Effective communication and collaboration with technical and non-technical stakeholders, • Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories), • Performance tuning in Snowflake (warehouse sizing, clustering, caching) Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time. About Capital Rx Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp, Capital Rx is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare. Capital Rx values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Salary Range$120,000—$140,000 USD All employees are responsible for adherence to the Capital Rx Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals. Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found at___.

A financial firm is looking for a Data Engineer - Databricks to join their team.Pay: $100-130/hr US Citizens or GC Holders Only No c2c - W2 Only Qualifications: A Bachelor's Degree in Computer Science, Management Information Systems, Computer Engineering, or related field 7+ years of experience in d

Senior Technology Site Reliability Engineer Cooley is seeking a Senior Site Reliability Engineer to join the Infrastructure & Development Operationsteam. Position summary: The Senior Technology Site Reliability Engineer("SRE") is responsible for ensuring the reliability, scalability, and performance of the firm's critical infrastructure and applications. The SREblends software engineering with systems engineering to build and maintain automated, resilient, and observable systems that support high availability and operational excellence. In addition to being technically advanced, the SRE will have a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Monitor and maintain production systems to ensure high availability and performance, • Implement and manage service-level indicators (SLIs), objectives (SLO's), agreements (SLA's), and error budgets, • Participate in on-call rotations and incident response, including root cause analysis and postmortems, • Develop and maintain infrastructure as code (IaC) using Terraform, • Automate deployment, scaling, and recovery processes to reduce manual intervention, • Partner with DevOps to build and maintain CI/CD pipelines to support safe and efficient software delivery, • Implement observability solutions using metrics, logs, traces, and alerting systems (Prometheus, Grafana, DataDog, etc.), • Proactively identify and resolve system bottlenecks and reliability risks, • Work closely with Infrastructure, DevOps, Development, and security teams to embed reliability into the development lifecycle, • Contribute to a culture of blameless post-mortems and continuous improvement, • Document operational procedures and share knowledge across teams, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 6+ years direct applicable experience (e.g. site reliability engineering or related field), • Proficiency in Terraform and programming languages such as Python, Go, or Java, • Deep expertise in cloud platforms, particularly AWS, and container orchestration, • Strong background in distributed systems, performance tuning, and automation, • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Experience with IaC deployment of AKS/EKS/GKE architecture, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work independently and in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely EOE. The expected annual pay range for this position with a full-time schedule is $140,000 - $205,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Senior Technology Development Operations Manager Cooley is seeking a Senior DevOps Manager to join the Infrastructure & Development Operations team. Position summary: The Senior Technology Development Operations (DevOps)Manageris responsible for leading the team thatdesigns, architects,deploys, tests,maintains,and documents the DevOps technology stack. This stack is responsible for facilitating a secure, CI/CD-enabled, and highly availableSaaS-baseddelivery and hosting environment for Cooley's custom applications. The Senior DevOps Manager will build and deploy green-field solutions where needed, and otherwise willprimarilywork to improve theefficiency,security,and availability/reliability of the enterprise DevOps and related infrastructure. This role will workin an integrated fashion with the development teams to build in-depth knowledge of the products and code, attending daily stand-ups as needed. In addition to being technically advanced, this position will use a high degree of emotional intelligence and the ability to work as a team towards complex and layered objectives. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: • Provide experienced leadership in developing solutions for highly scalable, highly available, hybrid cloud (IaaS, PaaS, SaaS) infrastructure patterns and platform integrations across physical colocations and hyperscalers (AWS and Azure), • Manage, build, configure, administer, operate, and maintain all components that comprise our DevOps environment, • Leverage industry standard Frameworks and Blueprints as a foundation to create best-in-class Terraform IaC module libraries, • Lead the evolution of our DevOps and DevSecOps practice maturity, • Act as a key member of the infrastructure architecture team to identify optimization opportunities throughout the infrastructure, • Define, document, and enforce configuration standards and governance through IaC, • Develop, test, deploy, and optimize DevOps IaC code deployment pipelines and practices, • Provision automation using CI/CD (DevOps Pipelines) and IaC (Terraform) tooling, • Serve as a technical escalation point, • Work with our development and data teams to integrate products into a DevOps-managed environment, • Develop and maintain scripts to automate tool/service deployments to our Hybrid Cloud environment through DevOps Pipelines and Releases, • Participate in software releases and deployments, • Contribute to the design, update, refinement, and documentation of operational processes, • Provide technical mentorship and educate team members as a subject matter expert on IaC, containerization, and CI/CD, • Brainstorm new ideas and ways to improve product delivery and efficiency, • Consult peer teams for feedback during the design, testing, and implementation stages, • Serve as direct supervisor and mentor to direct reports, • Provide day-to-day supervision of direct reports, ensure compliance with assigned work hours and monitor for compliance with all firm and department policies. Manage staffing coverage, review and process time logs/time off requests, • Support business professional development and continued educational opportunities, • In collaboration with immediate supervisor and HR, participate in hiring, performance appraisals, counseling, termination and other employee lifecycle events, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 7+ years of relevant experience in cloud infrastructure and DevOps with 2+ years of exempt/management experience in relevant roles, • Proficiency in AWS or Azure architecture, configuration, and security, • Skilled in CI/CD pipeline design using Azure DevOps, Jenkins, or GitHub Actions, • Strong Terraform expertise, including advanced workflows and tools like Terragrunt, • Experience with Docker, Kubernetes, Helm, and GitOps tools (Flux, ArgoCD), • Familiarity with microservices deployment and release automation, • Hands-on with .NET Core containers on Linux and scripting in Linux/Windows, • Knowledge of open-source and NoSQL databases (e.g., MS SQL, MongoDB, Elasticsearch), • Bachelor's Degree in Computer Science, Information Technology, Engineering, or associated discipline, • Experience working with advanced ETL data workflows including technologies such as AWS EMR, Azure Synapse, Azure Data Factory, or Apache Hive/Spark/Airflow, • Supervisory experience, • Experience with IaC deployment of AKS/EKS/GKE architecture is highly desired, • Experience with enterprise Data Lake environments using technologies such as DataBricks or Snowflake Competencies: • Expert analytical/quantitative, problem-solving, and deductive reasoning skills, with experience performing advanced troubleshooting and root cause analysis of complex technical issues, • Excellent organizational, planning, and time management skills and ability to work either independently or in a team environment to manage competing priorities and meet deadlines, • Advanced verbal and written communication skills with the ability to present findings, conclusions, alternatives, and information clearly and concisely, • Experience working with all levels of staff, management, stakeholders, and vendors with ability to build effective relationships through trust and diplomacy Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $180,000 - $255,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

Join the fastest growing Data engineering solutions company! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $150,000 - $220,000 per year A bit about us: This is one of Jobot's best clients, and a company that has been growing by over 100% year over year for the last 7 years. They are continuing to grow! This company is focused on offering top tier consulting services to enterprise companies that are trying to better utilize their data. Why join us? Join us for the variety of work, the opportunity to interface with some of the top companies in the world, and ability to build creative solutions to challenging problems. Job Details Must be a talented data engineer! Ideally you come from some soft of consulting or client facing background, this may include internal customers! Hands on engineering experience a must. This includes the following: 1. Snowflake or Databricks engineering, 2. Deep understanding of AWS or Azure or GCP, 3. Code bases written in Python, Scala and or Java, 4. Most important? Clear and concise communication skills, you must be able to sit in front of a client, and be engaging, and speak with non-technical stakeholders. This company will not be able to sponsor or transfer visas. If interested, please apply, or feel free to message directly. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Join one of the fasted growing AI/ML services companies! This Jobot Job is hosted by: Adam Bennett Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $140,000 - $190,000 per year A bit about us: We are a data and AI services company that has been growing tremendously over the last 10 years. We anticipate growing 40% yoy over the next 5 years and are looking to bring on solutions architects who have worked with enterprise customers to build out applications and utilize data in a more efficient way. Why join us? Join us for the growth and opportunity to join a best-in-class organization. As we grow there will be opportunities to work with the biggest commercial companies to support their adoption and growth into AI/ ML applications. Job Details This job is 100% remote but will require travel to customer sites throughout the US. We are looking for someone who has the following: At least 5 years as a customer-facing solutions architect. Experience with enterprise customers and supporting product adoption and services expansion. Must be able to write Python or Scala. With your experience, we expect mastery over SQL and the ability to troubleshoot distributed databases. Experience working with a wide variety of data sources, including MySQL, Kafka, and business app's like SAP and ORCL. Finally, must have experience with Databricks OR Snowflake OR Redshift, or EMR. If this aligns with the work you've done in the past, please apply, or email Adam Bennett @ - and put "Solutions Arch" in the subject line. Thank you! Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Knowledge of analytics tools like Alteryx, Snowflake, Databricks, PowerBI, Python, and others. Your key responsibilities As a Transaction Analytics Senior Associate, you will leverage analytical tools and technologies to provide critical data-driven business, financial, and commercial insights to su

SLSQ227R273 As a Geo Core Account Executive supporting Digital Native customers at Databricks, you are passionate about selling to high-growth, venture-backed companies.

Chicago, Illinois; Denver, Colorado; New York City, New York P-1445 As a Startup Account Executive at Databricks, you get to work with some of the most exciting, disruptive companies using data to change the world.

As an AWS Java Application Development Manager/Lead, you will play a critical role in leading a team of skilled Java developers to design, develop, and deploy applications on the Amazon Web Services (AWS) cloud platform. You will be responsible for guiding the technical direction of the team, ensuri

Hybrid – Jersey City, NJ Senior Level · 8+ Years Experience.W2 Candidates Only — No C2C, No 3rd-Party Agencies Please.Builds a comprehensive QA framework in Azure Databricks that will gather, store, detect, and process large volumes of data for QA analysis and detection of bugs found in

Job DescriptionWho We AreQvest US is the global leader in technology and business consulting for the Media & Entertainment and Consumer Packaged Goods & Retail industries. We strategize, advise, design, develop and implement future-forward business & technology solutions. With expertise in digital media supply chain, data & analytics, IP & rights management, broadcast transformation, Salesforce and applied AI, our exceptionally talented teams partner with Fortune 1,000 companies to revolutionize markets and set new industry standards. Who We're SeekingQvest.US is seeking an experienced Data & Analytics Senior Consultant to join our growing data practice. In this role, you will participate in projects that drive better data-based decision making for our clients, involving strategy and planning, data management, reporting, and data visualization. We are looking for a hands-on technical data consultant who can successfully work with client projects, teams, and stakeholders.What You'll Do • Participate on project teams through all core project phases, including project setup, requirements gathering, design, development, testing and deployment, • Perform hands-on development by coding in SQL and occasionally Python, creating data visualizations in Tableau, Power BI, or similar, and designing data models in platforms such as Snowflake and Databricks, • Be the expert in various client meetings such as stakeholder interviews & workshops, • Understand, develop and articulate complex business challenges into actionable plans with clear and concise communication, • Proactively identify risks, issues and provide mitigation strategies, • Build and maintain strong client relationships, • Contribute to internal growth initiatives including mentorship, recruitment, strategy and/or methodology enhancementWhat You'll Bring, • Eagerness to participate in a best-in-class data practice, • 3+ years Project Management, Process, Implementation, and SDLC experience working closely with data professionals in an Agile environment, • Experience with client-facing activities such as requirements gathering, meeting facilitation & presentation creation, and deliverable review/approval sessions, • 5+ years in a consulting role or a data-focused role and strong experience with SQL in particular in platforms such as Snowflake, Databricks, Teradata, Redshift, BigQuery, MS SQL Server or similar, • Experience designing and building relational database and/or data warehouses, • Hands-on experience with business driven / self-service BI, using tools similar to Tableau, PowerBI, Looker, etc.Preferred Additional Experience, • Experience in Media & Entertainment and/or Consumer Products industries, • Experience at a large consulting firm (e.g., Accenture, Deloitte, EY, CapGemini, PWC), • Cloud computing experience, whether with AWS or other vendors, • Ability to automate data-related tasks using scripts and programming languages, • Ability to profile, explore, and analyze data to identify common data patterns, • Ability to present data solutions to business stakeholders with clear business acumen, • Bachelor’s degree in engineering, information systems, computer science, business administration, or other related analytics fields

Job DescriptionBenefits: • 401(k) matching, • Bonus based on performance, • Dental insurance Onsite Miami, Fl $130150K base , 10% bonus Overview We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production. Primary Responsibilities/Essential Functions This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business. Qualifications Required: Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions. Proficiency in Python, SQL, and scripting languages (Bash, PowerShell). Deep understanding of big data tools (Hadoop, Spark) and ETL processes. Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake). Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization. Experience designing and managing data warehouses for performance and scalability. Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing. Preferred Strong experience in software architecture, design patterns, and code optimization. Expertise in Python-based pipelines and ETL frameworks. Experience with Azure Data Services and Databricks. Excellent problem-solving, analytical, and communication skills. Experience working in agile environments and collaborating with diverse teams.

A major global financial institution seeks a Senior Principal Software Engineer in Jersey City, NJ, to architect and implement data platforms.

As a Senior Principal Software Engineer at JPMorganChase in Corporate - AIML Data Platforms and the Chief Data & Analytics team, you will bring your deep expertise in Databricks and large-scale data engineering. Join JPMorgan Chase as a Senior Principal Software Engineer where you will own the Datab

Job DescriptionJob Title: Senior Data EngineerPosition Summary We are seeking a highly experienced Senior Data Engineer to support the design, development, and optimization of large-scale data platforms within a financial services environment. This role focuses on building robust data pipelines, enabling advanced credit risk analytics, and ensuring compliance with regulatory standards. The ideal candidate will bring deep expertise in credit and counterparty risk, modern data engineering technologies, and cloud-based data platforms, while collaborating closely with cross-functional teams including risk, quant, and compliance stakeholders. Key ResponsibilitiesData Architecture & Engineering • Lead architecture and technical design discussions for credit risk data platforms, • Design and implement scalable batch and streaming data pipelines using PySpark, • Build ingestion frameworks for structured and unstructured data from upstream systems into cloud storage (e.g., S3/ADLS), • Implement data processing workflows using Medallion Architecture (Bronze, Silver, Gold layers)Data Processing & Optimization, • Develop and optimize transformation logic for large-scale financial datasets, • Ensure high data quality, auditability, and regulatory compliance, • Apply optimization techniques such as partitioning, indexing, and schema evolution, • Model and optimize risk metrics (e.g., PD, LGD, EAD, EPE, PFE, CVA) for analytics and reportingPlatform Integration & Operations, • Integrate with external risk engines and support orchestration of complex batch processes, • Ensure platform reliability, observability, and data lineage tracking, • Implement and maintain security standards (IAM, encryption, authentication protocols), • Troubleshoot production issues and provide ongoing supportCollaboration & Documentation, • Collaborate with data scientists, risk analysts, and business stakeholders, • Contribute to API design and data contracts for internal and external consumers, • Maintain comprehensive technical documentation for audit and compliance purposes, • Participate in Agile development processes and ceremoniesRequired Qualifications, • 12+ years of experience in data engineering or data development, • Strong experience within financial services, particularly credit or counterparty risk, • Expertise in regulatory frameworks such as Basel III/IV, IFRS 9, CECL, or FRTB, • Advanced proficiency in Python and PySpark / Apache Spark, • Hands-on experience with cloud platforms and data lake technologies (e.g., Databricks, Delta Lake), • Strong SQL skills including complex queries, joins, and performance optimization, • Experience building data pipelines from multiple financial data sources, • Familiarity with workflow orchestration tools (e.g., Airflow or similar), • Experience with CI/CD tools such as Git, Jenkins, or Azure DevOps, • Cloud certification (e.g., AWS Certified Cloud Practitioner or equivalent)Preferred Qualifications, • Experience with large-scale financial risk systems and analytics platforms, • Background in designing data architectures and maintaining data dictionaries, • Experience working in Agile environments using tools such as JIRA or Confluence, • Exposure to modern data governance and compliance practicesSkills & Competencies, • Strong analytical and problem-solving abilities, • Excellent communication skills with both technical and non-technical stakeholders, • Ability to work collaboratively with cross-functional teams, • High attention to detail and commitment to data quality, • Proactive, self-driven mindset with continuous learning approachWork Environment, • Fast-paced, data-driven financial services environment, • High level of collaboration with global teams

Architect and implement a robust data lakehouse solution using the AWS ecosystem (S3, Glue, Redshift/Athena), and potentially onboard Databricks. You will lead the migration from a legacy setup to a modern, scalable AWS ecosystem, establishing the data governance, MLOps, and AIOps frameworks that wi

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description Versant Media’s Data Platforms team is the central data store across the enterprise. We unify disparate systems into a secure, well-governed, real-time data environment that powers downstream products, analytics, and content delivery experiences. We are seeking a Director, Platform Development to lead the design, buildout, and evolution of our modern data platform. This is a hands-on leadership role for someone who is equally comfortable writing production code, setting architectural direction, and managing a small but growing team. In the near term, this role will be a key individual contributor responsible for building foundational platform capabilities. Over time, the focus will shift toward people leadership, planning, and execution management as the team scales. This role reports to the VP of Data Platforms and is expected to act as a technical and operational anchor for the organization. Responsibilities • Lead the design and implementation of core backend services and data platform components using Node.js and TypeScript, • Establish and evolve platform architecture, design patterns, and engineering standards, • Own and triage intake requests, balancing short-term delivery with long-term platform health, • Partner closely with governance, analytics, and downstream consumers to ensure the platform supports:, • Scalable data ingestion and access patterns, • Lakehouse-style architectures, • ELT pipelines, • Metadata, lineage, and governance requirements, • Build and maintain CI/CD pipelines that enable safe, repeatable, and observable deployments, • Set expectations and best practices around:, • Object-oriented design and proven design patterns, • Test-driven development (TDD) and strong automated test coverage, • Secure development lifecycle (SDL) principles, • Hire, mentor, and manage engineers as the team grows, • Conduct code and design reviews, providing clear technical guidance, • Collaborate effectively in a matrixed enterprise environment with both legacy systems and modern platforms, • Gradually transition from primary IC to people and execution leadership as the platform maturesQualifications, • Deep foundation in software engineering fundamentals, including:, • Object-oriented programming, • Design patterns, • API and service design, • Solid understanding of data engineering concepts, including:, • Lakehouse architectures, • ELT pipelines, • Data governance, metadata, and lineage, • Experience building modular or microservice-based systems, • Demonstrated experience leading or mentoring engineers (formal people management experience preferred, but not required), • Strong commitment to code quality, testing, and automation, • Hands-on experience with CI/CD pipelines and modern DevOps practices, • Comfortable operating with a high degree of ownership in a lean, fast-moving environment, • Experience with ML platforms or services (e.g., Databricks, AWS Bedrock), • Familiarity with analytics and BI tools (Tableau, Power BI, or similar), • Experience working in media, streaming, or large-scale enterprise environments We are accepting applications for this position on an ongoing basis. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. For LA County and City Residents Only: VERSANT Media will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial institution known for its strong presence in international banking and commitment to innovation in data and technology. The organization operates within a highly regulated, fast-paced environment where data integrity, scalability, and performance are critical to success. Teams are composed of experienced technology and data professionals collaborating across regions to modernize data platforms and support enterprise-wide analytics initiatives. The environment emphasizes precision, accountability, and continuous improvement, with ongoing investments in cloud-based data ecosystems and advanced analytics capabilities. What's In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on large-scale enterprise data transformation initiatives, • Exposure to modern cloud platforms including Azure and Databricks, • Design and develop scalable, high-performance data models for enterprise data warehouse environments, • Translate complex business requirements into conceptual, logical, and physical data models, • Utilize IBM InfoSphere Data Architect (IDA) to build and maintain robust data structures, • Partner with data engineering teams to implement models within Azure and Databricks ecosystems, • Ensure data quality, consistency, and governance across multiple systems and platforms, • Contribute to data architecture discussions and enforce best practices in modeling standards, • Perform impact analysis for model changes and support downstream system alignment, • Create and maintain detailed documentation including data flow diagrams and design specifications, • 10+ years of experience in data modeling and data architecture within enterprise environments, • Strong hands-on experience with IBM InfoSphere Data Architect (IDA), • Proven expertise in designing data models for data warehouses and large-scale data platforms, • Experience working with Azure and Databricks in cloud-based data ecosystems, • Deep understanding of data modeling concepts (conceptual, logical, physical), • Strong collaboration skills with data engineers, architects, and business stakeholders, • Experience performing impact analysis and managing changes across data systems, • Excellent documentation and communication skills, • Financial services or banking domain experience preferred

Job Description About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Senior Data Engineer Are you an experienced Data Engineering professional with a passion for building scalable, reliable, and high-performance data systems? Do you have hands-on experience designing and optimizing end-to-end real-time and batch pipelines, and developing cloud-native data architectures using modern technologies such as AWS, GCP, Azure, Databricks, and Snowflake? We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification & Skill Set Requirements Core Technical Competencies Experience: 5+ years of hands-on data engineering experience in a production environment. Languages: Strong proficiency in Python, SQL (complex queries, performance tuning), and PySpark/Apache Spark. Data Modeling: Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. ETL/ELT & Orchestration: Proven experience building pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators (Glue, Data Factory, Composer). Integrations: Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Cloud Platform Expertise (Specialization-Specific) Candidates should demonstrate deep expertise in anyone of the following: Snowflake: SnowSQL, Streams, Tasks, Snowpark, and cost optimization. Databricks: Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Spark optimization. GCP: BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Functions. Azure: Synapse Analytics, Data Factory, Azure Databricks, and Stream Analytics. AWS: Redshift, S3, Lake Formation, Glue, and Lambda. Professional Practices SDLC & DevOps: Proficient in Git workflows, CI/CD pipelines (GitHub Actions, Azure DevOps, AWS CodePipeline), and IaC (Terraform/CloudFormation). Data Governance: Strong understanding of data quality, lineage, observability, security (RBAC, encryption), and compliance frameworks. Agile: Active experience in Agile/Scrum environments using Jira or Azure Boards. Mentorship: Ability to lead projects and provide technical guidance to junior/mid-level engineers. Responsibilities Architecture: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Optimization: Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Data Transformation: Lead the development of ETL/ELT processes for both batch and real-time data processing. Collaboration: Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Governance & Quality: Promote and enforce best practices in data governance, security, and data quality frameworks. Mentorship: Provide technical leadership and mentorship to the team, ensuring architecture quality and best practices. Documentation: Maintain comprehensive documentation of data architectures, configurations, and workflows. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas., • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. RdEDRGP9Ti

Job Description Senior Manager, Commercial Analytics & Data ScienceHow you’ll make an impact: • You will build machine learning models to answer key business questions impacting strategy and marketing spend allocation, • You will perform feature engineering and contribute to our feature store, • You will lead dashboard development and lead development of enhanced visualization toolsResponsibilities: What you’ll do:, • Build advanced machine learning models to inform marketing tactics (examples: adaptive clustering, reinforcement learning, regression modeling, price elasticity modeling etc.), • Execute sophisticated quantitative analyses and descriptive modeling to answer key business questions to shape business strategy., • Use enhanced python based graphical visualizations to deliver key insights to leadership., • Research and implement novel modeling techniques to solve complex business problems., • Develop analytics databases & lead development and maintenance of automated dashboards for AB experiment results., • Develop complex SQL queries combining data from a wide variety of sources in preparation of feature engineering or to perform analysis of business questions., • Measure incrementality of paid media campaigns using matched market testing.Requirements: What you’ll need:, • Bachelor’s or Master's degree in data science, computer science, statistics, engineering, or related quantitative field., • Strong prior experience in data science, business & statistical analytics., • 7+ years of experience in related field., • Strong background in SQL & Python, R is a plus., • Experience in machine learning algorithms & libraries. Examples: CausalML/EconML, TensorFlow, PyTorch, Keras, sk-learn, seaborn, LSTM, RNN., • Experience in visualization tools. Examples: Databrick AI/BI, Rshiny, Dash, Tableau., • Familiarity with Databricks platform is a plus., • Willingness to take initiative and to follow through on projects., • Excellent time management skills with the ability to prioritize and multi-task, and work under shifting deadlines in a fast-paced environment., • Must have legal right to work in the U.S.Compensation:, • $100 to $105/hr. (W2)Job req# 1654-1

Job DescriptionCompany Description At Fun, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout — the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. For dApps, Checkout scales their user acquisition potential without launching new chains or integrating multiple third party providers. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. Role Overview We’re looking for a Data Scientist to supercharge our data-driven strategy and ensure we’re building the right things at the right time. You’ll be embedded in the heart of our product and engineering teams, shaping insights that guide strategy, uncover user behavior, and optimize execution across Fun. This role is perfect for someone who thrives in fast-paced, ownership-driven environments, loves solving open-ended problems, and is excited about the potential of blockchain data.Responsibilities • Design and build scalable data models to analyze transaction flows and user behavior, • Support the optimization of data transformations, pipelines, and workflows, • Work directly with the CFO to provide insights on the business’ performance, • Maintain data quality, observability, and reproducibility across analytical systems, • Partner with engineers and product teams to deliver actionable, production-grade insights, • Run experiments, apply causal inference, and drive evidence-based product decisions, • Translate complex data into clear stories for both technical and non-technical stakeholdersRequirements, • Proficiency in Python and SQL (5+ years), • Strong background in statistical analysis, experimentation, and causal inference, • Familiar with analyzing end-user behavior for optimization (A/B testing, conversion rates, etc.), • Skilled in modern data platforms (Redshift, Snowflake, Databricks, etc.) and orchestration/transformation tools (dbt or similar), • Deep curiosity about crypto, DeFi, on-chain data, and Web3 infrastructureNice To Have, • Experience analyzing large-scale transaction or financial datasets, • Hands-on experience with ML/AI libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow), • Familiarity with market dynamics (spreads, slippage, liquidity, etc.), • A track record of thriving in ownership-heavy, fast-moving environments

Job DescriptionValue Engineering Lead Location: US (Remote) About Unframe Unframe enables enterprises to deploy production-ready AI systems in days, not months, focused on real business outcomes. We partner with organizations to identify high-impact use cases, prove value quickly through POCs, and scale into enterprise-wide AI programs. Our approach combines modular building blocks, flexible deployment, and a focus on measurable outcomes across: • Observability (insight from customer & operational data), • Extraction & Abstraction (structuring unstructured data), • Identifies the right use cases, • Quantifies and proves business value You will operate at the intersection of sales, product, and strategy, helping shape deals, train teams, and build the systems that turn value into a repeatable growth engine. What You'll Do1. Shape High-Value Use Cases (Core Responsibility) • Partner with AEs early in deals to identify and refine the highest-impact use cases, • Guide conversations from "what do you want to build" → where is the measurable value, • Apply structured frameworks to prioritize use cases based on:, • volume, cost, and frequency, • operational friction, • business impact2. Quantify & Prove Value (Deal Acceleration), • Translate use cases into clear, defensible business cases, • Define:, • baseline metrics, • expected outcomes, • success criteria for POCs, • Support POCs as proof-of-value exercises, not just technical validation, • Build executive-ready narratives that unlock budget and expansion3. Train the GTM Team on Value Selling, • Enable AEs and SEs to:, • ask the right questions, • quantify pain early, • position use cases in business terms, • Develop simple, repeatable frameworks (not heavy training decks), such as:, • value discovery questions, • use case qualification criteria, • "good vs bad" use case patterns, • Coach on live deals to reinforce behavior4. Build the Value Engineering System (Critical), • Create the infrastructure for value-driven selling, including:, • use case libraries (by industry / function), • value calculators and lightweight modeling tools, • POC success templates, • business case frameworks, • Standardize how value is:, • identified, • measured, • communicated5. Drive POC → Expansion Strategy, • Ensure every POC is tied to:, • measurable impact, • a broader expansion narrative, • Help position single use cases as entry points into:, • multi-use-case deployments, • enterprise AI programs6. Build Feedback Loops Across the Business, • Identify which use cases:, • close fastest, • deliver the most value, • expand most effectively, • Feed insights into:, • sales strategy, • vertical targeting, • product directionWhat We're Looking ForBackground, • 5–10+ years in:, • Value Engineering / Value Consulting (e.g., Palantir, Snowflake, Databricks, Celonis), OR, • Strategy / consulting (McKinsey, Bain, BCG, etc.), OR, • RevOps / GTM strategy in a technical product company, • Experience working with enterprise customers on business cases and transformation initiativesSkillset, • Strong ability to connect technical solutions to business outcomes, • Comfortable working in ambiguity and shaping problems from scratch, • Excellent at structuring and simplifying complex ideas, • Ability to influence both:, • frontline sellers, • executive stakeholdersMindset Fit (Critical), • You are not just a model builder—you shape how deals are won, • You care about speed + pragmatism, not perfect analysis, • You think in systems and repeatability, not one-off work, • You're comfortable being embedded in deals and pushing back on weak use casesWhat Success Looks Like (First 6 Months), • Reps consistently identify higher-value use cases earlier in deals, • POCs are tied to clear, quantified success metrics, • Conversion from POC → paid engagement improves, • A foundational value engineering system is in place:, • playbooks, • templates, • use case library, • focus on the right problems, • prove value quickly If you're a strong, independent builder who thrives on ownership, cares deeply about quality, and wants to have a real impact — we'd love to meet you.

Job DescriptionCompany Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at . Job Description As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context. As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career. Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts. Our collaborative culture ensures that—from Day 1—you become an integral member of the Wavestone team. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Our commitment: Wavestone’s Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us. Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • 4 months parental leave to birthing parent / 2 months to supporting parent, • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Job Description About Us Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Technical Product Manager, Data Infrastructure in our New York office. About the Role: You will be responsible for defining and driving the product architecture, roadmap, and prioritization for data lakehouse architecture in alignment with Applecart's business and data practices. Additionally, be the champion for best practices in release engineering, observability, and data governance. In this position, you will work with the data infrastructure, research, and measurement teams. This role will report to the Director of Product Management. What You'll Do: • Define and lead the product vision for core areas of Applecart's internal data platform, including capabilities such as metadata management, data classification, observability, and identity resolution., • Own the product roadmap and prioritization process in close collaboration with engineering, analytics, data scientist and legal teams., • Translate data consumption/ creation, internal use cases, and stakeholder feedback into clear, structured product requirements., • Partner with Data Engineering to deliver scalable, reliable data pipelines and platform services using technologies such as Snowflake, Databricks, Airflow, and dbt., • Guide adoption of data infrastructure and tooling across teams by ensuring it meets the needs of data producers and consumers alike., • Define and track success metrics that demonstrate impact on data availability, trust, usability, or activation., • 6+ years of experience in product management, with at least 3+ years focused on data platforms, infrastructure, or enterprise SaaS environments., • Experience owning platform, infrastructure, or customer data products in a data-rich environment., • Strong written and verbal communication skills., • Impeccable attention to detail and superior organizational skills., • Proficiency in SQL—enough to engage meaningfully with technical stakeholders and dive into data use cases., • Familiarity with data observability platforms or privacy and compliance frameworks., • Background implementing or scaling internal data catalogs, customer data platforms, or data activation pipelines., • Strong technical background with working knowledge of AWS, Snowflake, dbt, and cloud-native data architectures., • Proficiency in Agile development practices and tools—roadmapping, story writing, backlog grooming, and sprint planning., • Familiarity with Git-based code management and SDLC workflows., • Experience driving adoption of observability and monitoring practices across infrastructure products., • Deep understanding of data governance, including data security, privacy regulations, and compliance standards., • Prior experience as a software or data engineer is a plus., • Experience with AI/ML workflows is a plus. This is a hybrid role. Work from home on Monday and Friday and in Applecart's New York City office Tuesday through Thursday. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000 to $195,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 10X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job DescriptionSenior Data Engineer – Credit Risk (Hybrid) Location: New York, NY 10020 (Hybrid) Duration: 1-Year Contract (Possible Extension) Interview Process: 2 Virtual Teams Interviews + 1 Onsite Interview Position Overview "Navitas Partners, LLC" is seeking a highly experienced Senior Data Engineer to join a Credit Risk technology team supporting enterprise-scale risk data platforms. The ideal candidate will lead architecture discussions, design scalable data pipelines, and ensure reliable, compliant, and high-quality data processing across modern cloud-based lakehouse environments. This role requires deep expertise in financial data engineering, credit risk domains, and large-scale distributed data processing using PySpark and Databricks. Key Responsibilities • Lead architecture and technical design discussions for Credit Risk data platforms using modern data engineering frameworks and cloud-native technologies, • Design and implement scalable batch and streaming data pipelines using PySpark within a Medallion Lakehouse architecture on Databricks, • Build and maintain data ingestion pipelines from upstream systems (loan origination, trading systems, market data feeds) into cloud storage (S3/ADLS) using Parquet and Delta Lake formats, • Implement partitioning strategies, Z-order optimization, and schema evolution for high-performance data processing, • Develop and optimize large-scale PySpark transformations for credit and counterparty risk datasets ensuring accuracy, auditability, and regulatory compliance across Bronze, Silver, and Gold layers, • Support modeling and optimization of risk metrics including PD, LGD, EAD, EPE, PFE, CVA for downstream analytics and reporting, • Integrate with external risk/XVA engines and manage orchestration of long-running batch computations, • Ensure platform reliability, observability, lineage tracking, security, and regulatory compliance (Basel III/IV, FRTB, CECL), • Design and maintain APIs, data contracts, and technical documentation aligned with audit and compliance standards, • Collaborate closely with risk, quant, compliance, and engineering teams to deliver scalable data solutionsRequired Qualifications, • 12+ years of experience in data engineering or data development, preferably in financial services or banking, • Strong domain expertise in Credit Risk and Counterparty Risk, • Familiarity with regulatory frameworks such as Basel III/IV, IFRS 9, CECL, FRTB, • Expert-level proficiency in Python and PySpark/Apache Spark, • Hands-on experience with Azure Databricks, Delta Lake, and Medallion Architecture, • Strong SQL skills including joins, window functions, and performance optimization on large datasets, • Experience building ingestion pipelines from core banking, trading, and market data systems, • Knowledge of workflow orchestration tools such as Airflow or Databricks Workflows, • Experience with CI/CD tools including Git, Jenkins, and Azure DevOps in regulated environments, • Understanding of cloud platforms (AWS certification or equivalent preferred), • Experience producing architecture diagrams, data flow documentation, and data dictionaries, • Agile delivery experience using tools such as JIRA, Confluence, and Zephyr, • Strong communication skills with ability to bridge technical and risk/business stakeholdersPreferred Attributes, • Strong focus on data governance, data quality, and regulatory compliance, • Experience working with quant teams and risk modeling systems, • Ability to quickly adapt to evolving financial technologies and regulatory requirements, • Proactive, collaborative, and detail-oriented mindset in high-stakes environments For more details reach at About Navitas Partners, LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Senior Data Engineer in our New York City office. About the Role: As a Senior Engineer on the Data Products team, you will expand Applecart's data-mining capabilities to uncover deeper and more impactful connections within decision-maker networks. In this role, you'll work on ETL pipelines, APIs, and algorithms within a service-oriented architecture, helping to drive the team's technical evolution. You'll be part of a colocated, hybrid-remote group of collaborative engineers focused on delivering business value continuously. Together, you will own and enhance integrations with external APIs, large-scale batch data processing pipelines, and network-building algorithms, while contributing to the design and development of a centralized data Lakehouse architecture. As a senior team member, you'll collaborate closely with Product and Technology leadership to shape the future direction of Applecart's technology. Who You Are: You are a veteran software developer specialized in large scale data engineering. You have a long track record delivering products and collaborating with Product managers. You help define and evangelize coding best practices and enjoy coaching less experienced team members. Experiences and Capabilities You Bring: • You have 6+ years of professional software development experience, • You have strong computer science fundamentals, • You have designed and implemented scalable data processing pipelines, • You have worked with all types of storage/persistence engines, and know their applications: relational databases, document databases, key/value stores, etc…, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You are familiar with Lakehouse architecture and open file format (e.g. Apache Iceberg, Apache Hudi, Delta, etc), • You are a SQL expert, • You have experience with distributed computing and know the strengths/weaknesses of different frameworks (should include Apache Spark), • You manage AWS resources using infrastructure-as-code Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $160,000-$200,000, based on the candidate's experience and skills relative to the requirements above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Applecart is the leading technology company that C-suites rely on to reach business-critical decision makers. The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders who matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those who matter most to them. We are hiring a Staff AI Engineer in our New York City office. About the Role: The role is for the Identity team at Applecart. The team builds and maintains best in class identity data products, tying multiple systems and data sources together. As a Staff AI Engineer, you will be responsible for leading the design and deployment of our next-generation AI-powered platforms. You will shape the technical destiny of our organization, moving beyond individual features to architect the agentic ecosystems that will handle our next phase of growth. This role will report to the Director of Engineering. What You'll Do: • Lead the design of end-to-end AI solutions using foundation models, multi-agent orchestration (MAS), and RAG pipelines. Ensure that today's technology choices support long-term scalability., • Identify systemic risks and infrastructure bottlenecks before they impact production and ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management., • Mentor other engineers. Provide design feedback that teaches thinking, recommends scalable abstractions, and builds a culture of technical excellence., • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure., • Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems., • You have 8+ years of professional software development experience, especially in the fields of data engineering and AI/ML, • Deep expertise in applied AI/ML techniques (Deep Learning, NLP, GNNs), technologies (Agentic AI, RAG, Prompt/Context Engineering), and fluency in Python or a similar backend language, • You have designed and implemented scalable data processing pipelines, and understand how to store and retrieve large sets of data, • You have experience implementing various data warehousing architectures, including products like Snowflake or Databricks, • You have proven records of leading AI/ML projects, ideally RAG applications, • Proven experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and modern data infrastructure (Kafka, Spark, Vector Search)., • Hands-on experiences with graph data models and graph data processing (with graph data engines such as Neo4 or PuppyGraph) is a big plus., • You have hands-on experience in implementing the Lakehouse architecture., • You are familiar with identity resolution and have experience building identity resolution systems., • You have experience with backend API designing and implementation, • You have experience optimizing the end to end performance of distributed systems Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $200,000 - 250,000 based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 4 years, we've increased our revenue by 10X, grown our headcount by almost 5X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, and alums of top-tier organizations like Bain & Company, Amazon and Simpson Thacher., • Applecart raised a $100M Series C from Blackstone's tech growth fund at the end of 2025. The company's other investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, CEO of TKO and Executive Chairman of WME, Wayne Berman, Blackstone's Head of Global Government Affairs, and Risa Heller, CEO of HELLER, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV, and The Colbert Report, and in Axios, Semafor, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Job Description Our client is an AI-powered Healthtech software startup in New York City, NY building infrastructure solutions to automate administrative tasks for the healthcare industry, reducing processing time, errors and ultimately resulting in cost savings and improved patient outcomes. Qualified candidates will have a minimum 3+ years of hands-on professional experience building data pipelines, data warehouses and analytics infrastructure in production environments. Applicants must have hands-on experience with the following technologies: SQL, Python (or R), at least one modern data warehouse (Databricks, Redshift, Snowflake, BigQuery) and RDBMS (Postgres, MySQL). BSCS or equivalent is required and top-tier universities are preferred. Candidates should have startup experience and the desire to work in a fast-paced environment. The Data Engineer will build data pipelines, ETL/ELT with modern orchestration tools (Airflow, DBT, Dagster), and any experience in Healthtech and/or HL7 or regulated data environments are a plus. The role features competitive base salary, equity and comprehensive benefits. Please send your resume to for consideration.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are seeking a Staff / Principal ML Ops Engineer to lead the design, implementation, and scaling of the companys ML infrastructure and production AI systems. This is a high-impact, architecture-defining role where youll work across the entire model lifecycletraining, evaluation, deployment, observability, and continuous optimization. You will partner closely with AI researchers, GPU systems engineers, backend teams, and product stakeholders to ensure the companys large-scale AI systems are robust, efficient, automated, and production-grade. This role is ideal for someone who has already built and owned ML platforms at scale and can drive strategy as well as hands-on execution. What Youll Do • Architect, build, and scale the end-to-end ML Ops pipeline, including training, fine-tuning, evaluation, rollout, and monitoring., • Design reliable infrastructure for model deployment, versioning, reproducibility, and orchestration across cloud and on-prem GPU clusters., • Optimize compute usage across distributed systems (Kubernetes, autoscaling, caching, GPU allocation, checkpointing workflows)., • Lead the implementation of observability for ML systems (monitor drift, performance, throughput, reliability, cost)., • Build automated workflows for dataset curation, labeling, feature pipelines, evaluation, and CI/CD for ML models., • Collaborate with researchers to productionize models and accelerate training/inference pipelines., • Establish ML Ops best practices, internal standards, and cross-team tooling., • Deep hands-on experience designing and operating production ML systems at scale (Staff/Principal-level expected)., • Strong background in ML Ops, distributed systems, and cloud infrastructure (AWS, GCP, or Azure)., • Proficiency with Python and familiarity with TypeScript or Go for platform integration., • Expertise in ML frameworks: PyTorch, Transformers, vLLM, Llama-factory, Megatron-LM, CUDA / GPU acceleration (practical understanding), • Strong experience with containerization and orchestration (Docker, Kubernetes, Helm, autoscaling)., • Deep understanding of ML lifecycle workflows: training, fine-tuning, evaluation, inference, model registries., • Experience deploying and operating LLMs and generative models in production at enterprise scale., • Familiarity with DevOps, CI/CD, automated deployment pipelines, and infrastructure-as-code., • Experience optimizing GPU clusters, scheduling, and distributed training frameworks., • Prior startup experience or comfort operating with ambiguity and high ownership., • Research pedigree: MIT CSAIL founders recognized for breakthrough AI and systems contributions., • Customer impact: Deploy AI solutions powering Fortune 500 clients., • Industry momentum: Lab alumni have led high-value acquisitions (MosaicML Databricks, Run:AI Nvidia, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding in 2026., • Career growth & influence: Lead AI initiatives, optimize pipelines, and directly impact production AI systems at scale., • Culture & autonomy: Own critical systems while collaborating with world-class engineers., • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Role We're seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, with a focus on the operational journey from ticket purchase through event entry. In this role, you will own and develop predictive and decisioning models that proactively identify and mitigate fulfillment issues, strengthen inventory validation, and optimize customer service policies — all while balancing fan experience with operational constraints. You will work on problems where getting it right matters: predicting issues before they impact fans, identifying emerging pain points at scale, and turning moments of potential failure into opportunities to build trust and loyalty. This includes building and productionizing models on both structured and unstructured data, such as LLM-backed pipelines that extract actionable signals from customer communications and support interactions. You will partner closely with product managers, analytics engineers, operations leaders, and other data scientists to translate ambiguous business problems into durable, production-ready data products, and to influence decisions that measurably improve the fan experience. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions., • Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale., • Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process., • Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift., • 5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred., • Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)., • Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement., • Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL., • Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact., • Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety., • Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring., • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job Description Reporting to the Director of Program Management, the Product Manager – Business Services will join a team of high performing and collaborative professionals, working closely together on the development and execution of Brookfield Renewable’s growth strategies in North America. The Product Manager role will be responsible for identifying and supporting of a variety of process improvements and revenue enhancement initiatives with business groups. They will need to work with teams across internal business units to diligence opportunities, develop business cases and complete projects in parallel to ensuring that the value drivers in the business cases are realized. The Product Manager has accountability for identifying ways to drive additional value from the platforms which includes strategy development and the implementation of the solution and support model. This position will work closely with internal customers and external vendors to ensure the platforms are satisfying the business’ needs; this could include day-to-day support, developing and managing product roadmaps and enhancements, and managing third party providers relevant to products in scope. Responsibilities: • Own the lifecycle of assigned business applications (Salesforce, Sirion Labs), ensuring product health, vendor management, and stakeholder satisfaction., • Provide a supporting role for Workday by partnering with business stakeholders to identify improvement opportunities and coordinate with the application owner for delivery., • Adapt to evolving priorities, taking on new responsibilities as business needs shift., • Identify opportunities for optimization and innovation, driving cost savings, efficiency, and business transformation., • Partner with business and IT stakeholders to define requirements, outcomes, and ensure technology supports current and future digital transformation initiatives., • Work with leadership to prioritize initiatives and develop business cases to justify projects., • Lead multiple projects in parallel, managing scope, schedule, and budget while ensuring business outcomes are achieved., • Must be self-driven and lead through influence with the ability to simplify complex problems, advocate for solutions, and speak their opinion., • Promote the adoption of AI tools across the organization by promoting awareness, engagement, and practical usage., • University degree in Business Administration, Computer Science, or Engineering, • Experience leading medium to large projects, possessing a well-rounded technical background., • Experience with Salesforce (CRM), Sirion (CLM), Workday (HRIS) or similar enterprise solutions is preferred., • Experience with AWS tools, Databricks, Power BI, Alteryx, and Tableau is a plus., • Experience or certification in Lean Six Sigma, Agile, or PMP is a plus., • Excellent interpersonal, organizational, written, and oral communication and presentation skills, with proven experience writing and delivering presentations Our origin as owner/operators of high-quality businesses allows us to leverage our unique operational expertise to grow the businesses we own on behalf of our clients. We put our own capital to work alongside our partners’ in nearly every transaction, ensuring strong alignment of interests.Brookfield is a leading global investment firm with over $1 trillion of assets under management. We invest on behalf of institutions and individuals around the world with the goal of helping them to create long-term, sustainable wealth.\r\n\r\nOur origin as owner/operators of high-quality businesses allows us to leverage our unique operational expertise to grow the businesses we own on behalf of our clients. We put our own capital to work alongside our partners’ in nearly every transaction, ensuring strong alignment of interests.