Qureos Mentor

CapTech

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 Job Description
 
 
 
 
 Senior Technical Business Systems Analysts (BSAs) at CapTech work side-by-side with business and technical stakeholders to define complex solutions, drive solution design, and ensure delivered products meet real business needs. Our BSAs work on a wide range of initiatives&mdash;from custom digital product development to large-scale integration, modernization, and enterprise transformation efforts spanning multiple systems, technologies, and lines of business.
 
 
 
 
 This Senior-level Technical BSA role is ideal for someone who enjoys operating at the intersection of business and technology, thrives in ambiguity, and brings a consultant&rsquo;s mindset to problem solving. Successful candidates are comfortable translating business objectives into technical requirements, partnering closely with architects and engineers, and helping teams navigate complex systems, integrations, and data challenges. You will play a hands-on role throughout the full delivery lifecycle, helping teams move from unclear problems to well-designed, scalable, and maintainable solutions.
 
 
 
 <ul>
 <li>
 Quickly become familiar with client business challenges, processes, and technology landscapes in order to act as a trusted advisor and subject-matter partner to stakeholders.
 </li>
 <li>
 Act as a key contributor on cross-functional teams through all phases of the system delivery lifecycle, from discovery through delivery and validation.
 </li>
 <li>
 Lead and support requirements elicitation using interviews, workshops, and collaborative working sessions to surface business needs and clarify solution intent.
 </li>
 <li>
 Translate business objectives into detailed functional and technical requirements that guide architecture, development, testing, and deployment activities.
 </li>
 <li>
 Partner with architects, engineers, and product teams to support solution design, including data modeling, API and integration requirements, interface definitions, and system workflows.
 </li>
 <li>
 Analyze data to understand current-state structures, data quality, and business impact, and help define how data supports future-state solutions.
 </li>
 <li>
 Support complex system integrations by documenting data mappings, business rules, system interactions, and upstream/downstream dependencies.
 </li>
 <li>
 Bridge business and technical perspectives to ensure solutions are valuable, usable, scalable, and maintainable.
 </li>
 <li>
 Evaluate current-state processes and systems, work with stakeholders to define a desired future state, and perform gap analysis to identify solution options and recommendations.
 </li>
 <li>
 Write and refine epics, user stories, acceptance criteria, and backlog items as part of an Agile delivery team.
 </li>
 <li>
 Coordinate and support integration testing, system testing, and user acceptance testing (UAT) activities, including requirements traceability and validation.
 </li>
 <li>
 Identify risks, dependencies, assumptions, and impacts across business processes, systems, and integrations.
 </li>
 <li>
 Communicate clearly and effectively with technical teams, business stakeholders, and executive leadership, adapting your message to your audience.
 </li>
 <li>
 This role should expect a hybrid client-site schedule, with regular onsite visits each week based on engagement requirements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 10&ndash;12+ years of experience working as a Business Systems Analyst, Technical Architect, or similar role leading IT related initiatives and enterprise-scale solution delivery efforts.
 </li>
 <li>
 Prior consulting experience or demonstrated ability to operate effectively in a client-facing, advisory role.
 </li>
 <li>
 Proven experience leading, mentoring, or managing Business Analysts or cross-functional teams with 3&ndash;5+ years of people leadership, team leadership, or delivery leadership responsibility.
 </li>
 <li>
 Demonstrated experience working on multi-system implementations, enterprise applications, and complex integrations.
 </li>
 <li>
 Experience partnering with software development teams throughout the full software delivery lifecycle.
 </li>
 <li>
 Experience creating process flows, data flows, sequence diagrams, system context diagrams, or other visual models that communicate business and technical solutions.
 </li>
 <li>
 Experience defining business rules, writing user stories, developing acceptance criteria, and managing requirements in Agile environments.
 </li>
 <li>
 Strong understanding of enterprise integration patterns, APIs, data flows, and modern cloud-based architectures.
 </li>
 <li>
 Ability to write and execute SQL queries to support analysis, troubleshooting, validation, and testing efforts.
 </li>
 <li>
 Experience performing data analysis, data mapping, and requirements traceability across multiple systems.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
 </li>
 <li>
 Proficiency with common delivery and collaboration tools such as JIRA, Confluence, Azure DevOps, or similar platforms.
 </li>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Computer Science, Management Information Systems, or a related field, or an equivalent combination of education and experience.
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience supporting digital product development and product-centric delivery models.
 </li>
 <li>
 Experience working in regulated industries such as energy, utilities, infrastructure, financial services, healthcare, or public sector environments.
 </li>
 <li>
 Knowledge of Microsoft Dynamics 365, Power Platform, Salesforce, or other enterprise business platforms.
 </li>
 <li>
 Experience supporting cloud modernization, application modernization, or enterprise transformation initiatives.
 </li>
 <li>
 Familiarity with system architecture concepts, object-oriented design principles, or software engineering practices.
 </li>
 <li>
 Microsoft Dynamics 365, Power Platform, Scrum, Product Owner, CBAP, PMI-PBA, or related certifications.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 We provide challenging and impactful opportunities in our client work and internal teams, while keeping individual interests in mind. We want everyone at CapTech to be able to envision a lifelong career here, which is why we offer a variety of career paths based on your skills and passions. As a CapTecher, you will experience exciting and rewarding roles that help you grow and make a difference, while having fun along the way.
 
 
 
 
 At CapTech we offer a competitive and comprehensive benefits package including, but not limited to:
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
 <li>
 Competitive salary with performance-based bonus opportunities
 </li>
 <li>
 Three comprehensive Medical Plan options (PPO and HDHP), as well as Dental and Vision coverage
 </li>
 <li>
 Company paid basic Life and AD&amp;D, Short-Term and Long-Term Disability Insurance
 </li>
 <li>
 Matching 401(k)
 </li>
 <li>
 Cell Phone stipend
 </li>
 <li>
 Competitive Paid Time Off
 </li>
 <li>
 Paid Birth and Family Bonding Leave
 </li>
 <li>
 Adoption Assistance
 </li>
 <li>
 Training and Certification opportunities eligible for expense reimbursement
 </li>
 <li>
 Team building and social activities
 </li>
 <li>
 Mentor program to help you develop your career
 </li>
 </ul>
 
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our diversity, Inclusion and belonging efforts, click HERE.
 
 
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
 
</div>

Senior Technical Business Systems Analyst

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
 
 
 
 
 
 
 Specific responsibilities for the Machine Learning Engineer position include:
 
 
 
 
 
 <ul>
 <li>
 Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
 </li>
 <li>
 Deconstructing client needs into data-driven processes/models and analytical measures.
 </li>
 <li>
 Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
 </li>
 <li>
 Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.
 </li>
 <li>
 Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
 </li>
 <li>
 Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
 </li>
 <li>
 Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
 </li>
 <li>
 Proficiency with containerization (e.g., Docker) and microservices.
 </li>
 <li>
 Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
 </li>
 <li>
 Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
 </li>
 <li>
 Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
 </li>
 <li>
 Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
 </li>
 <li>
 Knowledge of DevOps and automation best practices.
 </li>
 <li>
 Knowledge of statistics and statistical modeling methods.
 </li>
 <li>
 Knowledge of model management and model versioning best practices.
 </li>
 <li>
 Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
 </li>
 <li>
 Experience with prompt engineering, MCP and RAG, and agentic AI architectures
 </li>
 <li>
 Strong understanding of conversational UX and prompt evaluation metrics
 </li>
 <li>
 Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
 </li>
 <li>
 Experience with multi-agent orchestration
 </li>
 </ul>
 
 
 
 
 
 
 
 Additional Information
 
 
 
 
 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
 <li>
 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
 </li>
 <li>
 Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
 </li>
 <li>
 Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
 </li>
 <li>
 Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
 </li>
 <li>
 Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
 </li>
 <li>
 Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
 </li>
 <li>
 401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
 </li>
 </ul>
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
</div>

Machine Learning / Data Science Engineer

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
 
 
 
 
 
 
 Specific responsibilities for the Machine Learning Engineer position include:
 
 
 
 
 
 <ul>
 <li>
 Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
 </li>
 <li>
 Deconstructing client needs into data-driven processes/models and analytical measures.
 </li>
 <li>
 Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
 </li>
 <li>
 Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.
 </li>
 <li>
 Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
 </li>
 <li>
 Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
 </li>
 <li>
 Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
 </li>
 <li>
 Proficiency with containerization (e.g., Docker) and microservices.
 </li>
 <li>
 Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
 </li>
 <li>
 Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
 </li>
 <li>
 Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
 </li>
 <li>
 Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
 </li>
 <li>
 Knowledge of DevOps and automation best practices.
 </li>
 <li>
 Knowledge of statistics and statistical modeling methods.
 </li>
 <li>
 Knowledge of model management and model versioning best practices.
 </li>
 <li>
 Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
 </li>
 <li>
 Experience with prompt engineering, MCP and RAG, and agentic AI architectures
 </li>
 <li>
 Strong understanding of conversational UX and prompt evaluation metrics
 </li>
 <li>
 Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
 </li>
 <li>
 Experience with multi-agent orchestration
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Additional Information
 
 
 
 
 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
 <li>
 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
 </li>
 <li>
 Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
 </li>
 <li>
 Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
 </li>
 <li>
 Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
 </li>
 <li>
 Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
 </li>
 <li>
 Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
 </li>
 <li>
 401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
 </li>
 </ul>
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
</div>

<div>
 
 CapTech is an award-winning consulting firm that collaborates with clients to achieve what&rsquo;s possible through the power of technology. At CapTech, we&rsquo;re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.
 
 
 
 
 
 
 Job Description
 
 
 
 
 CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
 
 
 
 
 
 
 Specific responsibilities for the Machine Learning Engineer position include:
 
 
 
 
 
 <ul>
 <li>
 Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
 </li>
 <li>
 Deconstructing client needs into data-driven processes/models and analytical measures.
 </li>
 <li>
 Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
 </li>
 <li>
 Productionizing ML systems with a focus on optimization and scalability to satisfy clients&rsquo; requirements.
 </li>
 <li>
 Growing CapTech&rsquo;s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
 </li>
 <li>
 Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
 </li>
 <li>
 Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
 </li>
 <li>
 Proficiency with containerization (e.g., Docker) and microservices.
 </li>
 <li>
 Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
 </li>
 <li>
 Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
 </li>
 <li>
 Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
 </li>
 <li>
 Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
 </li>
 <li>
 Knowledge of DevOps and automation best practices.
 </li>
 <li>
 Knowledge of statistics and statistical modeling methods.
 </li>
 <li>
 Knowledge of model management and model versioning best practices.
 </li>
 <li>
 Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
 </li>
 <li>
 Experience with prompt engineering, MCP and RAG, and agentic AI architectures
 </li>
 <li>
 Strong understanding of conversational UX and prompt evaluation metrics
 </li>
 <li>
 Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
 </li>
 <li>
 Experience with multi-agent orchestration
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we&rsquo;ve launched extended benefits to help meet our employees&rsquo; needs.
 
 
 
 <ul>
 <li>
 CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
 </li>
 <li>
 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
 </li>
 <li>
 Modern Health &ndash;A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life&rsquo;s ups and downs
 </li>
 <li>
 Carrot Fertility &ndash;Inclusive fertility and family-forming coverage for all paths to parenthood &ndash; including adoption, surrogacy, fertility treatments, pregnancy, and more &ndash; and opportunities for employer-sponsored funds to help pay for care
 </li>
 <li>
 Fringe &ndash;A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them &ndash; ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
 </li>
 <li>
 Employee Resource Groups &ndash; Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
 </li>
 <li>
 Philanthropic Partnerships &ndash; Opportunities to engage in partnerships and pro-bono projects that support our communities.
 </li>
 <li>
 401(k) Matching &ndash; Generous matching and no vesting period to help you continue to build financial wellness
 </li>
 </ul>
 
 CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness &mdash; each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email lmassa@captechconsulting.com.
 
 
 
 
 At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
 
</div>

Join CapTech and explore 4   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

CapTech

About Company

Senior Technical Business Systems Analyst

Machine Learning / Data Science Engineer

Machine Learning / Data Science Engineer

Machine Learning / Data Science Engineer