KellyMitchell Group

Build and enhance scalable data management applications, develop reusable components, and collaborate across teams. | Requires 4+ years in development, proficiency in LWC, Apex, Java, and data modeling, with experience in scalable data solutions. | Job Summary: Our client is seeking a Software Engineer-SMTS to join their team! This position is located Remote - Texas. Duties: • Build and enhance a next-generation LWC application to manage large-scale data dictionaries • Develop scalable, reusable LWC, Apex, and JavaScript components • Create tools and automation to streamline data and metadata management • Maintain secure access models, metadata repositories, and integration workflows • Collaborate with Product, DevOps, and Data teams to support platform initiatives and optimize metadata during migrations • Contribute to code reviews, documentation, and overall engineering best practices Desired Skills/Experience: • 4+ years of relevant experience in development and platform engineering • Proficient in development, including Lightning Web Components (LWC) and Apex • Proficient in Java with strong coding and problem-solving abilities • Deep understanding of data models, including objects, fields, field types, and junction objects • Strong knowledge of large-scale data structures and data management, including creating scalable and efficient solutions • Demonstrated ability to develop reusable code frameworks and technical documentation for long-term maintainability • Ability to analyze stakeholder requirements and translate them into scalable, high-quality technical solutions Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position is between $42.00 and $60.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Manage and build ETL processes, design data structures, ensure data governance, and collaborate with teams to meet data needs. | Proficiency in advanced SQL, experience with large corporate datasets, cloud data platforms, ETL tools, and preferably Spark and machine learning knowledge. | Job Summary Our client is seeking a Database Engineering Manager to join their team! This position is located in Denver, Colorado. Duties • Building and maintaining ETL process from various sources into company data environment like snowflake, azure, fabric • Building views and monitoring pipelines to ensure they run smoothly • Designing and prototyping new data structures and exploring how to leverage new tools or platforms • Creating proof-of-concept models and ensuring data is organized for easy access and analysis • Working with other teams to understand data needs, defining requirements, and creating data views that can be shared across the organization • Ensuring proper data governance, security, and access control • Integrating data from various sources to create a unified and comprehensive dataset • Testing data pipelines, validating data accuracy, and ensuring the integrity of the data structures Desired Skills/Experience: • Proficient in writing and optimizing advanced SQL queries • Hands-on experience working with large corporate datasets, not just academic or lab projects • Experience with cloud data platforms like Redshift, Snowflake, Fabric, or Azure is essential, particularly in exploring data, handling flat files, and leveraging ETL processes • Proficient in building and orchestrating ETL pipelines using tools like Apache, Fabric Data Flows, or similar technologies • Experience with Spark in a Python environment, a plus • Familiarity with the properties and concepts of major machine learning techniques, a plus Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position starting at $90,000 - 105,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Mine complex data, design new data incorporation methods, collaborate with IT teams to manage statistical data and create models, and provide actionable insights while adhering to data privacy and company guidelines. | 2+ years related experience, bilingual English-Spanish proficiency, advanced analytical and communication skills, and experience with data mining techniques. | Job Summary Our client is seeking a Bilingual Data Scientist to join their team! This position is located in Greenwood Village, Colorado. Duties • Mine complex data and providing systems-related advice for their organization • Design new ways to incorporate vast information with a focus on information technology topics • Work with teams of other IT professionals to manage statistical data and create different models based on the needs of their company • Process research information for easier consumption and transform it into actionable plans • Provide value to their businesses through their findings and thoughtful insights • Follow specific, strict company and industry guidelines in their work • Observe data privacy rights to ensure client satisfaction and avoid legal issues • Create networks of professionals to consult, including internal partners and external colleagues • Work in teams using collaborative filtering, k-nearest neighbors, market basket analysis and matrix factorization methods • Deal with cutting edge technologies on a regular basis Desired Skills/Experience: • 2+ years of related experience • Must be bi-lingual (English and Spanish) • Must be able to speak Spanish proficiently • Possess advanced analytical skills • Exceptional oral and written communication abilities • Possess previous work experience in a similar position • Advanced knowledge of different data mining techniques such as clustering, regression analysis, decision trees and support vector machines Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position is between $44.00 and $64.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.