Senior Data Engineer at CRB Group Inc. | Denver

As a Machine Learning Engineer at CapTech Consulting, you will play a pivotal role in crafting and executing data-driven solutions tailored for our clients. Your expertise will be key in developing and deploying scalable machine learning systems within enterprise environments. We foster a collaborative atmosphere where you will have numerous opportunities to learn from and exchange insights with fellow analysts, architects, and our clients.Your key responsibilities include:Collaborating with clients, data scientists, engineers, and cross-functional teams to design and implement comprehensive machine learning solutions that address business challenges.Translating client requirements into effective data-driven processes, models, and analytical metrics.Working with extensive datasets across various enterprise data platforms, including AWS, Azure, and GCP.Creating, developing, and deploying sophisticated analytical solutions using client data, such as recommender systems, natural language processing, and risk assessment frameworks.Optimizing and scaling machine learning systems to meet specific client demands.Enhancing CapTech’s Machine Learning and Data Science practices by delivering impactful client presentations, drafting proposals, participating in business development initiatives, and mentoring junior data scientists and engineers.

As a Lead Machine Learning and Data Science Engineer at CapTech, you will spearhead the design and execution of innovative data-driven solutions tailored to meet our clients' unique challenges. Focused on creating and deploying robust machine learning systems within enterprise environments, you will thrive in our collaborative culture, fostering knowledge-sharing among analysts, architects, and clients.Key Responsibilities:Collaborate with clients, data scientists, engineers, and cross-functional team members to develop comprehensive end-to-end machine learning solutions and explore novel data science methodologies to address business challenges.Provide technical guidance and ensure alignment of technical solutions with client expectations through effective collaboration.Translate client requirements into actionable data-driven processes, models, and analytical metrics.Analyze and process extensive datasets utilizing various enterprise-level data platforms including AWS, Azure, and GCP.Develop and launch sophisticated analytical solutions leveraging client data, such as recommender systems, NLP applications, and risk assessment models.Optimize and scale machine learning systems to meet client demands and ensure smooth production deployment.Enhance CapTech's Machine Learning and Data Science capabilities through client presentations, proposal development, participation in business development events, and mentoring junior data scientists and engineers.

Join CapTech as a Salesforce ArchitectCollaborate with clients on diverse, cross-functional projects to implement scalable Salesforce solutions throughout the entire Software Development Lifecycle (SDLC) using Agile methodologies.Act as a trusted technical advisor, overseeing architectural scope and ensuring alignment between technical solutions and business objectives.Engage effectively with both technical and non-technical stakeholders, establishing clear expectations and facilitating informed decision-making.Technical Solutions LeadDrive the technical architecture and implementation of Salesforce projects, including custom development, integrations, and data migrations.Architect enterprise-grade Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, and relevant managed packages.Design and assess integrations between Salesforce and various external systems such as ERP platforms, financial systems, marketing tools, and document management solutions.Establish and manage environment strategies, release management, and DevOps processes in line with enterprise delivery standards.Thought Leadership and Professional GrowthDevelop and execute a personalized professional development plan aimed at mastering Salesforce architecture and leveraging emerging platform capabilities.Showcase technical thought leadership by contributing to architectural standards, best practices, and reusable accelerators.Guide and mentor architects and developers through architecture reviews, community practices, and ongoing knowledge sharing.Participate in technical pre-sales activities, including solution design, estimations, and delivery scope for potential clients.Gain exposure to a broad spectrum of clients, business models, and industry sectors.

Role overview Quizlet is looking for a Machine Learning Engineer to join the Monetization and Decision Systems team. The focus is on building models that help drive user engagement and support revenue growth using data-driven approaches. What you will do Design and implement machine learning models that contribute to monetization strategies and decision-making systems. Collaborate with engineering, product, and design teams to deliver solutions that scale. Apply machine learning skills to develop products used by millions of learners. Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Xometry (NASDAQ: XMTR) is at the forefront of transforming industries by bridging visionary innovators with manufacturers capable of realizing their ideas. Our dynamic digital marketplace equips manufacturers with the essential tools to expand their operations, while enabling Fortune 1000 companies to seamlessly access global manufacturing capabilities.We are on the lookout for a Principal Machine Learning Data Scientist to become a pivotal member of our Generative AI team. The ideal candidate will possess a fervent drive to propel advancements in machine learning and generative AI, with a specific focus on fine-tuning generative and language models, multimodal document comprehension, and structured data extraction. Your expertise will be instrumental in crafting and optimizing cutting-edge AI solutions that elevate Xometry's service offerings.

About the Opportunity Join our dynamic team as a Data Scientist, where you will transform raw data into actionable insights and develop models that significantly impact business success. Collaborate with diverse stakeholders to comprehend challenges, craft analytical solutions, and launch scalable data products. What to Expect? Gather, clean, and analyze both structured and unstructured data. Create predictive models, conduct statistical analyses, and implement machine learning algorithms. Design dashboards, reports, and data visualizations to effectively communicate insights. Partner with engineering teams to deploy models in production environments. Execute exploratory data analysis (EDA) to uncover trends and opportunities. Perform A/B testing and design experiments to evaluate feature performance. Document methodologies to ensure the reproducibility of your analytical work. Contribute to comprehensive machine learning workflows, including model training, validation, and deployment, with engineering support. Monitor model performance and data quality, making updates as necessary.

Join Signifyd, a leader in eCommerce fraud protection, as a Senior Machine Learning Engineer I / II. In this role, you will leverage advanced machine learning techniques to enhance our fraud detection systems. You will work collaboratively with a team of talented engineers and data scientists to develop innovative solutions that protect businesses from fraud.

At CapTech, our Data Engineering consultants empower clients to design and sustain sophisticated data systems that amalgamate information from diverse sources, enabling informed decision-making. We specialize in constructing data pipelines and preparing data for utilization by data scientists, analysts, and other data systems. Our passion lies in tackling challenges and delivering innovative solutions for our clients. As Cloud Data Engineers, we harness the power of our clients' cloud infrastructure to provide immediate value and scalability for the future. We thrive in a collaborative environment, with abundant opportunities for learning and knowledge sharing among developers, architects, and our clients.As a Cloud Data Engineer, your specific responsibilities will include:Creating data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).Consulting with clients on technologies and methodologies to effectively utilize cloud resources for rapid data ingestion and processing.Employing engineering best practices to address complex data challenges.Working closely with end users, development teams, and business analysts to ensure that data architecture plans optimize the value of client data organization-wide.Explaining the architectural distinctions between various solution methods and their respective advantages and disadvantages.

About Judi HealthJudi Health is a pioneering enterprise health technology company that offers a comprehensive array of solutions for employers and health plans. Our services include:Capital Rx, a public benefit corporation that provides full-service pharmacy benefit management (PBM) solutions tailored for self-insured employers.Judi Health™, delivering complete health benefit management solutions to employers, third-party administrators (TPAs), and health plans.Judi®, the leading proprietary Enterprise Health Platform (EHP) that streamlines all claim administration-related workflows into a single scalable and secure platform.We are committed to rebuilding trust in healthcare across the U.S. and establishing the infrastructure necessary for the quality care that everyone deserves. To learn more about our mission and offerings, please visit www.judi.health.Position Summary:We invite you to join our mission to integrate state-of-the-art AI, Machine Learning (ML), and Generative AI (GenAI) technologies into pharmacy benefits as a Machine Learning Engineer. We seek a skilled software engineer with robust machine learning expertise to help expand our AI capabilities, enhancing productivity and creating remarkable experiences in our products and services.In this role, you will design and implement intricate AI systems that utilize ML models for Natural Language Processing (NLP), Natural Language Generation (NLG), multimodal data analysis, chatbots, and Retrieval-Augmented Generation (RAG)-based Question and Answer (QnA) processes. The ideal candidate will be passionate about leveraging AI/ML concepts to tackle complex challenges and develop scalable solutions. We value team players who enjoy collaborating to create practical, efficient, and high-performance software that harnesses Large Language Models (LLM), Multimodal Language Models (MLM), and other ML techniques to deliver outstanding capabilities for our customers and partners.

Blissway creates technology to modernize toll collection and improve highway safety across the United States. The company operates at the intersection of deep tech, AI/ML, hardware, SaaS, and IoT, focusing on solutions that directly impact the Interstate Highway System. With a team of fewer than 30 people, Blissway maintains a hands-on approach and a strong technical edge in the tolling sector. This Software Engineer position is based in Denver, Colorado. The role centers on building and maintaining systems that must perform reliably in unpredictable, real-world environments. Engineers here work closely with a small team, often taking projects from concept to launch. What you will do Develop and maintain software for systems that operate in varied and sometimes challenging field conditions. Work collaboratively in a small team, contributing across different functional areas as needed. Adapt to new technologies and tools, learning quickly to meet project needs. Requirements Strong sense of ownership and drive to see projects through to completion. Attention to detail, with a focus on writing reliable and precise code. Comfortable adapting to new challenges and learning on the job. Proficiency in Python and TypeScript, with openness to picking up new languages and tools. Location This position is based in Denver, Colorado.

As a Lead Data Strategist at CapTech Consulting, you will leverage your extensive technical, functional, and industry knowledge to enhance our business development initiatives, account management, and thought leadership. You will play a pivotal role in solution delivery and serve as the main point of contact for our clients' technology and business leaders, providing both technical and project leadership. Additionally, you will act as a servant leader to our clients and consultants, offering management consulting in data and analytics while also providing mentorship and career guidance.Utilize your industry and technical expertise to partner with client stakeholders, transforming abstract concepts into actionable insights to maximize the value derived from client data across the organization.Analyze and deliver impactful strategic plans that enhance data integration, data quality, and data delivery, aligning with key business initiatives and roadmaps.Evaluate and advocate for data management technologies and practices, identifying and closing gaps between the current and desired future states.Develop and present architectural trade-offs across various solution options, ensuring client technical requirements are fully addressed.Inspire and cultivate the growth of team members through coaching, teaching, empowerment, and influence in technical and consulting skills.Collaborate with the portfolio team to showcase technical capabilities, envision valuable solutions, estimate work plans, and recommend team compositions to ensure successful delivery.Thriving in a dynamic environment, you will balance internal CapTech initiatives while leading client engagements effectively.

About the Role Join our innovative team as a Data Engineer at Contentful, where you'll play a crucial role in crafting, developing, and scaling cutting-edge data solutions that drive analytics, operational reporting, and strategic business decisions across the organization. Collaborating closely with our data, analytics, and business units, you will create high-quality data pipelines, models, and integrations to ensure the availability of clean, reliable, and actionable data. As part of a nimble, geographically diverse engineering team, you will adopt a product mindset, emphasizing iterative value delivery, close partnerships with business and analytics stakeholders, and taking ownership of both the development and operational aspects of a vital platform. Key Responsibilities Design and implement scalable data pipelines and transformations across various systems and sources. Develop high-quality data models that cater to analytics, reporting, and operational needs. Collaborate with analytics, product, and business stakeholders to assess data requirements and convert them into technical solutions. Establish rigorous data quality, validation, and monitoring practices to ensure data reliability and trustworthiness. Optimize data storage, processing, and performance within cloud data warehousing environments. Contribute to the growth and enhancement of our modern data platform, including tools, standards, and best practices. Support data platform operations by troubleshooting issues, enhancing reliability, and ensuring Service Level Agreements (SLAs) are met. Engage with cross-functional partners on governance, documentation, definitions, and data stewardship. Implement CI/CD practices and Infrastructure-as-Code (IaC) to streamline deployment, testing, and environment management. Participate in code reviews, design discussions, and operational support on-call rotations as required. Qualifications for Success Essential Requirements 3 to 6+ years of experience in Data Engineering or a comparable technical role. Proficient SQL skills with hands-on experience in cloud data warehouses (e.g., Snowflake, Redshift, BigQuery). Experience in building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or equivalent frameworks. Strong proficiency in Python or another scripting language. Thorough understanding of data modeling, data structures, and contemporary data architecture patterns. Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform is a plus). Familiarity with data governance, quality, lineage, and cataloging principles.

At CapTech Consulting, our Data Architects play a pivotal role in aligning our clients’ business objectives with cutting-edge technology solutions to ensure effective data delivery. We enhance our clients’ operational efficiency by optimizing data utilization, elevating information management practices, and refining data processes. With a deep understanding of our clients’ unique challenges, our architects leverage their expertise and utilize advanced tools to devise optimal solutions. We consider our Data Architects as visionaries in the data landscape, entrusted with nurturing CapTech talent and advancing our data and analytics capabilities.Key responsibilities for the Data Architect role include:Evaluating and championing data management technologies while bridging gaps between current and envisioned future states.Formulating and executing strategic plans that enhance data integration, quality, and delivery in alignment with business objectives.Analyzing architectural options and articulating trade-offs to recommend the most suitable solutions that fulfill technical requirements.Encouraging and mentoring team members by fostering technical skills and consulting competencies.Collaborating with client stakeholders and development teams to ensure that data architecture strategies maximize the value of data across the organization.Driving innovation by providing thought leadership on emerging technology trends.Sharing insights and outcomes from projects with peers to enhance future project delivery.Working alongside the CapTech business development team to showcase our technical prowess, envision potential solutions, and estimate project scopes.

Join Stanley Consultants, a globally recognized and award-winning consulting engineering firm, as we strive to tackle the world's most intricate engineering challenges. Our commitment to ethical practices, cultural values, and a client-focused approach makes us a leader in creating a sustainable and interconnected world. As we adapt to an ever-evolving landscape, we leverage cutting-edge technology and innovative strategies to deliver resilient solutions. With over 100 years of experience across the energy, federal, transportation, and water sectors, Stanley Consultants has shaped vital infrastructure systems and made a positive impact on communities. As a proud employee-owned organization that prioritizes a People First philosophy, we value your contributions and are invested in your personal and professional growth. We provide flexible work options, competitive compensation, comprehensive benefits, and a supportive community to foster a meaningful, long-term career.

We welcome interest from qualified candidates for the position of Senior Marketing Science Analyst. If your skills align with our requirements, please submit your resume for consideration.Analytic Partners stands at the forefront of commercial measurement and optimization, transforming data into actionable insights for leading global brands for nearly 25 years. Our comprehensive decision-making approach is supported by an advanced platform and a dedicated team of experts, empowering leaders to make informed choices swiftly—driving business growth and fostering meaningful customer relationships. Operating in over 50 countries with offices in cities such as New York City, Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Sydney, Melbourne, Charlottesville, and Denver, we are rapidly expanding. We are eager to attract top-tier talent to help us redefine the analytics landscape. Explore our services and see why we are recognized as an industry leader by independent research firms like Forrester and Gartner.

Join Stanley Consultants, a globally recognized and award-winning consulting engineering firm, renowned for its unwavering dedication to culture, values, and ethical practices. We are passionate about enhancing client experiences and tackling complex challenges to foster a sustainable, connected, and enriched world. As the global landscape shifts, Stanley embraces strategic evolution, integrating cutting-edge technology, innovation, and resilience into our practices. With a legacy spanning over a century, we have made significant contributions to the energy, federal government, transportation, and water sectors, positively impacting lives and shaping the infrastructure that connects communities. As an employee-owned firm with a 'People First' ethos, we prioritize your voice, growth, and success alongside the company's objectives. Stanley Consultants provides flexible work arrangements, competitive compensation, outstanding benefits, a strong community sense, and opportunities for developing a fulfilling, long-lasting career!Job Title - Principal ConsultantLocation - Denver, CO (Centennial) | Remote, USJob Type - Hybrid or RemoteRequisition ID - 11049As part of Resilient Analytics, a subsidiary of Stanley Consultants, you will be at the forefront of climate resilience, adaptation, and risk assessment. Since our acquisition in 2022, we have combined over 20 years of proven expertise in resiliency planning, climate modeling, and data analytics with Stanley’s century-long engineering proficiency. Together, we empower clients to protect their assets, reduce risks, and make informed investment choices that fortify their infrastructure.Job Summary: The Principal Consultant will spearhead project teams and act as a vital client liaison. This role involves steering the decision-making process for project development, including climate risk assessments and adaptation strategies, utilizing both conventional and innovative data-driven methodologies. Responsibilities encompass overseeing project management, ensuring deliverables such as reports, white papers, geospatial interfaces, and datasets meet client and publication standards. The successful candidate will also contribute to and supervise internal R&D efforts, assist in formulating company strategy, and leverage personal networks to enhance the company’s sales pipeline.

At Forge Global, we recognize that our team is our most valuable asset. As pioneers in technology within the private market sphere, our mission is to create a brighter future for all. We embody this mission through our core values of boldness, accountability, and humility. Each day, we witness the impact of our vision, supporting the teams behind some of the most significant innovations of our time, including advancements in space travel and artificial intelligence.Our offerings include liquidity solutions, exclusive data insights, a custody service, and a dynamic marketplace. Forge is dedicated to constructing a top-tier technological framework to enable a transparent, accessible, and seamless global private market for companies, their employees, and investors. Through Forge, employees can liquidate their private shares, employers can reward stakeholders with pre-IPO liquidity, and both individual and institutional investors can engage in the growth of private unicorns.Forge's unique global marketplace meets the increasing demand from both individual and institutional investors seeking exposure to private company stocks, thereby building a robust network effect.Our capability to deliver these impactful financial solutions has sparked immense interest from investors and heightened customer demand, prompting us to expand our team to meet the needs of more companies, teams, and innovators.

We invite talented individuals with the relevant skills to express their interest in our Consultant, Marketing Science Analytics position by submitting their resumes. At Analytic Partners, we have been a global leader in commercial measurement and optimization for nearly 25 years, transforming data into actionable insights for the world’s largest brands. Our comprehensive approach to decision-making is fueled by our state-of-the-art platform and a team of industry experts dedicated to empowering leaders to make informed decisions swiftly, unlocking business growth and fostering strong customer relationships. With clients across over 50 countries and offices in major cities including New York City, Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Sydney, Melbourne, Charlottesville, and Denver, we are rapidly expanding. We seek exceptional talent to join us in redefining the future of analytics. Discover more about our work and accolades by visiting analyticpartners.com and see why we are recognized as a Leader in the industry by independent research firms such as Forrester and Gartner.

AECOM Advisory is on the lookout for a proactive and innovative Consultant to bolster our expanding global Advisory business line. We are eager to welcome talented management consultants who are dedicated to enhancing economic, environmental, and social vitality for our clients. This opportunity is available in the following locations: Los Angeles, CA; San Francisco, CA; Sacramento, CA; Denver, CO; Chicago, IL.Leveraging AECOM’s extensive expertise in infrastructure design and execution, AECOM Advisory serves as a trusted partner to senior-level clients and executive teams, addressing their most critical enterprise and strategic challenges. Our projects include assisting the City of LA in implementing the Citywide Housing Incentive Program (CHIP) Ordinance, developing SCAG’s Regional Resilience Toolkit, and formulating an Integrated Human Resources Plan for LADWP’s Power System.We cater to a diverse range of clients involved in infrastructure, the built environment, and community enhancement, encompassing national governments, regulatory bodies, city agencies, utilities, transit authorities, infrastructure operators, and investors. Our team of 400 professionals worldwide consists of business and policy analysts, economists, commercial strategists, technology architects, as well as human capital and change management specialists. We empower our clients to formulate strategies, enhance operational efficiency, and integrate digital systems that deliver value to their stakeholders and foster community impact.We represent a new breed of consulting firm; one that harnesses genuine operational and technical expertise from our broader platform to provide industry-specific insights and capabilities to the clients we serve.Join our fast-paced and supportive team of diverse consulting professionals. We take pride in our strong culture of mentorship and collaborative problem-solving, committed to addressing our client’s most complex and impactful issues, while offering career pathways that support professional growth and personal development.