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
 
 
 
 
 CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client&rsquo;s cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
 
 
 
 
 The Value You Deliver (or What You&rsquo;ll Do)
 
 
 
 <ul>
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 Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions.
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 Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies.
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 Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution.
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 Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs.
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 Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders.
 
 
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 </ul>
 
 Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets
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 <li>
 5+ years of experience delivering data engineering solutions on cloud platform
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 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP)
 </li>
 <li>
 Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion)
 </li>
 <li>
 Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks
 </li>
 <li>
 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery)
 </li>
 <li>
 Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs)
 </li>
 <li>
 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell)
 </li>
 <li>
 Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira)
 </li>
 <li>
 Fundamental understanding of big data, open source, and data streaming concepts
 </li>
 <li>
 Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs
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 <li>
 Experience providing technical leadership and mentoring other engineers in data engineering space
 </li>
 <li>
 Cloud certification on any platform a plus
 
 
 </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>
 Learning &amp; Development &ndash; Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
 </li>
 </ul>
 <ul>
 <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.
 
 
 
 
 CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $150,000 - $200,000k.
 
 
 
 
 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 Data Engineer (AWS, Azure, GCP)

<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>
 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

Join CapTech and explore 2   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 Data Engineer (AWS, Azure, GCP)

Machine Learning / Data Science Engineer