Mindex

• Serve as the Oracle CPQ technical expert for a client engagement, guiding solution design through implementation and deployment • Partner directly with client stakeholders to understand business requirements, evaluate technical approaches, and recommend scalable Oracle CPQ solutions • Design and configure Oracle CPQ functionality including pricing, subscriptions, Bill of Materials (BOM), Redwood UI, Rate Cards, and Approval Workflows • Develop Oracle CPQ integrations using APIs to support AI-assisted quoting workflows and downstream business processes • Analyze existing CPQ configurations, identify opportunities for improvement, and implement solutions that align with client business objectives • Collaborate with architects, developers, business analysts, and client subject matter experts to ensure Oracle CPQ solutions integrate seamlessly within the broader application architecture • Document solution designs, configuration decisions, and implementation approaches for both technical and business stakeholders • Troubleshoot and resolve complex Oracle CPQ configuration, pricing, and integration issues throughout the engagement

Role Description Mindex is looking for an Oracle CPQ Engineer who thrives on solving complex configuration and integration challenges while partnering directly with clients to deliver scalable Oracle CPQ solutions. In this role, you will serve as the Oracle CPQ subject matter expert for a client engagement, designing and implementing solutions that support pricing, subscriptions, approvals, and integrations for an AI-assisted quoting platform. This is a hands-on consulting role requiring someone who can work collaboratively with team members and client stakeholders and deliver production-ready Oracle CPQ solutions from requirements through implementation. Engagement & Compensation Details - Approximately 6-month engagement with the opportunity for extension - $90,000 - $140,000 What You'll Accomplish - Serve as the Oracle CPQ technical expert for a client engagement, guiding solution design through implementation and deployment - Partner directly with client stakeholders to understand business requirements, evaluate technical approaches, and recommend scalable Oracle CPQ solutions - Design and configure Oracle CPQ functionality including pricing, subscriptions, Bill of Materials (BOM), Redwood UI, Rate Cards, and Approval Workflows - Develop Oracle CPQ integrations using APIs to support AI-assisted quoting workflows and downstream business processes - Analyze existing CPQ configurations, identify opportunities for improvement, and implement solutions that align with client business objectives - Collaborate with architects, developers, business analysts, and client subject matter experts to ensure Oracle CPQ solutions integrate seamlessly within the broader application architecture - Document solution designs, configuration decisions, and implementation approaches for both technical and business stakeholders - Troubleshoot and resolve complex Oracle CPQ configuration, pricing, and integration issues throughout the engagement Qualifications - 5+ years of hands-on Oracle CPQ implementation experience, including at least one full lifecycle project from design through go-live - Strong experience configuring Oracle CPQ Pricing, Subscriptions, BOMs, Approval Workflows, and Redwood UI - Experience developing Oracle CPQ integrations using REST API - Proven ability to work independently, owning a design from concept through implementation with minimal oversight - Strong consulting mindset; comfortable digging into ambiguous problems, proposing solutions, and defending technical decisions directly with client stakeholders - Experience working in a consulting or professional services environment supporting external clients is a plus - Experience supporting or integrating AI-assisted or agentic workflows is a plus - Bachelor's degree in Computer Science, Information Systems, Business, or equivalent experience Benefits - Fully Remote Work Environment - Flexible Time Off - Medical, Dental, and Vision Insurance - 401(k) with Company Match - Company-Paid Life and Disability Insurance - Professional Development Opportunities Additional Information - Applicants must be authorized to work for any employer in the United States. Mindex is unable to sponsor employment visas at this time. - Physical Requirements/Conditions: - Prolonged periods sitting at a desk and working on a computer - No heavy lifting is expected. Exertion of up to 10 lbs.

• Design, develop, and optimize Snowflake objects, including dynamic tables, views, and schemas • Build and maintain DBT Core models, including models, tests, macros, sources, and lineage documentation • Develop and support data ingestion and replication pipelines using tools such as Informatica, Fivetran, Openflow, or similar technologies • Profile and analyze source data from complex, multi-domain systems to identify quality issues and inform modeling decisions • Write advanced SQL to investigate data, validate transformations, and support business reporting and analytics needs • Collaborate with data architects to implement canonical data models and ensure consistency across business domains

Data Engineer - Remote Location: Rochester NY US Job Description: With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software. Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact. We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs. The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members. Essential Functions: - Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. - Provide operational support and troubleshooting for existing processes and systems. - Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. - Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. - Ensure data extraction, transformation and loading data meet data security & compliance requirements. - Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. - Create data tools for data scientist team members that assist them in building and optimizing models. Requirements - BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. - 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets. - 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement - 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. - 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. - 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions. - 2+ years with Salesforce FSC and Salesforce Data Cloud. Skills & Competencies: - Strong communication and problem-solving skills. - Troubleshooting expertise. - Proficiency in Python, SQL. - Experience with Extract, Transform, Load (ETL) processes. - Experience building data pipelines. - Experience with Apache Spark and Apache Hadoop. - Experience with Amazon Web Services. Benefits - Health insurance - Paid holidays - Flexible time off - 401k retirement savings plan and company match with pre-tax and ROTH options - Dental insurance - Vision insurance - Employer paid disability insurance - Life insurance and AD&D insurance - Employee assistance program - Flexible spending accounts - Health savings account with employer contributions - Accident, critical illness, hospital indemnity, and legal assistance - Adoption assistance - Domestic partner coverage The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range. The salary range is $90,000 - $140,000. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.

• Design and implement scalable, high-performance data architectures across cloud and hybrid environments • Define and enforce data modeling standards, including conceptual, logical, and physical data models • Build and optimize enterprise data pipelines and data integration frameworks to support analytics and operational use cases • Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services • Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into robust data solutions • Establish and maintain data governance, data quality, and metadata management frameworks • Ensure data privacy, security, and compliance requirements are met across all platforms and pipelines • Lead architecture decisions for data storage solutions including data lakes, data warehouses, and real-time data processing systems • Optimize performance and cost efficiency of data platforms and workloads • Support Agile delivery frameworks and contribute to sprint planning, backlog grooming, and architectural roadmaps • Implement and oversee CI/CD pipelines and infrastructure-as-code practices for data solutions • Evaluate emerging technologies and recommend solutions to enhance data capabilities

• Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. • Provide operational support and troubleshooting for existing processes and systems. • Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. • Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. • Ensure data extraction, transformation and loading data meet data security & compliance requirements. • Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. • Create data tools for data scientist team members that assist them in building and optimizing models.

Role Description We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs. The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members. Essential Functions: - Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. - Provide operational support and troubleshooting for existing processes and systems. - Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. - Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. - Ensure data extraction, transformation and loading data meet data security & compliance requirements. - Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. - Create data tools for data scientist team members that assist them in building and optimizing models. Qualifications - BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. - 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies. - 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets. - 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement. - 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. - 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. - 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions. - 2+ years with Salesforce FSC and Salesforce Data Cloud. Requirements - Strong communication and problem-solving skills. - Troubleshooting expertise. - Proficiency in Python, SQL. - Experience with Extract, Transform, Load (ETL) processes. - Experience building data pipelines. - Experience with Apache Spark and Apache Hadoop. - Experience with Amazon Web Services. Benefits - Health insurance - Paid holidays - Flexible time off - 401k retirement savings plan and company match with pre-tax and ROTH options - Dental insurance - Vision insurance - Employer paid disability insurance - Life insurance and AD&D insurance - Employee assistance program - Flexible spending accounts - Health savings account with employer contributions - Accident, critical illness, hospital indemnity, and legal assistance - Adoption assistance - Domestic partner coverage

• Collaborative Implementation: Work alongside Software Engineering to deploy and configure the AWS resources required for new product features, ensuring they align with established platform standards. • Infrastructure Automation: Develop and update Infrastructure-as-Code (IaC) templates (Terraform or CloudFormation) to manage our SaaS environments, moving away from manual configurations to repeatable automation. • Environment Support: Manage and troubleshoot the health of our Windows based cloud instances, ensuring high availability for our customer base. • Deployment Support: Assist in managing CI/CD pipelines to facilitate smooth code releases. Help troubleshoot deployment failures to ensure minimal impact on the development lifecycle. • Proactive Monitoring: Configure and maintain monitoring, logging, and alerting systems (such as CloudWatch) to provide visibility into platform performance and identify potential issues before they impact users. • Security & Compliance Tasks: Implement security best practices as directed, including managing IAM roles, VPC configurations, and security group updates to maintain a hardened SaaS posture. • Resource Optimization: Monitor resource utilization and assist in executing cost-optimization tasks, such as decommissioning unused resources or adjusting instance types for better efficiency. • Incident Support: Participate in the incident management process by investigating technical alerts, performing initial root-cause analysis, and coordinating with senior engineers and developers for resolution. • Continuous Learning: Stay current on AWS services and DevOps tools, contributing to the team’s documentation and helping to refine internal operational processes. • Availability: Participate in a team on-call rotation and perform scheduled after-hours technical work to support platform stability and high-priority maintenance.

Role Description We are looking for a motivated Cloud Operations Engineer to support our SaaS platform's infrastructure. Working as part of the CloudOps team, you will collaborate with Software Engineering to implement, automate, and maintain the AWS environments that power our software. You’ll leverage your Windows Systems Administration background to help transition legacy components into modern, automated cloud workflows while ensuring our production environment remains stable, secure, and performant. - Collaborative Implementation: Work alongside Software Engineering to deploy and configure the AWS resources required for new product features, ensuring they align with established platform standards. - Infrastructure Automation: Develop and update Infrastructure-as-Code (IaC) templates (Terraform or CloudFormation) to manage our SaaS environments, moving away from manual configurations to repeatable automation. - Environment Support: Manage and troubleshoot the health of our Windows based cloud instances, ensuring high availability for our customer base. - Deployment Support: Assist in managing CI/CD pipelines to facilitate smooth code releases. Help troubleshoot deployment failures to ensure minimal impact on the development lifecycle. - Proactive Monitoring: Configure and maintain monitoring, logging, and alerting systems (such as CloudWatch) to provide visibility into platform performance and identify potential issues before they impact users. - Security & Compliance Tasks: Implement security best practices as directed, including managing IAM roles, VPC configurations, and security group updates to maintain a hardened SaaS posture. - Resource Optimization: Monitor resource utilization and assist in executing cost-optimization tasks, such as decommissioning unused resources or adjusting instance types for better efficiency. - Incident Support: Participate in the incident management process by investigating technical alerts, performing initial root-cause analysis, and coordinating with senior engineers and developers for resolution. - Continuous Learning: Stay current on AWS services and DevOps tools, contributing to the team’s documentation and helping to refine internal operational processes. - Availability: Participate in a team on-call rotation and perform scheduled after-hours technical work to support platform stability and high-priority maintenance. Qualifications - AS or BS degree in Computer Science, Engineering, or related area, and/or an equivalent combination of education and experience. - 2+ years of hands-on experience with cloud infrastructure and services. Requirements - Strong understanding of cloud security principles and best practices. - Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation. - Hands-on experience supporting MSSQL environments, including a solid understanding of database fundamentals and maintenance. - Strong scripting skills in PowerShell and Python to automate operational tasks. - Excellent communication, interpersonal, and problem-solving skills. - Strong focus on exceptional customer service. - Aptitude and desire to work in a highly collaborative, self-organizing, team environment. - Highly organized & accurate. Benefits - Health insurance - Paid holidays - Paid time off - 401k retirement savings plan and company match with pre-tax and ROTH options - Dental insurance - Vision insurance - Employer paid disability insurance - Life insurance and AD&D insurance - Employee assistance program - Flexible spending accounts - Health savings account with employer contributions - Accident, critical illness, hospital indemnity, and legal assistance - Adoption assistance - Domestic partner coverage - Mindex Perks - Tickets to local sporting events - Teambuilding events - Holiday and celebration parties - Professional Development - Leadership training - License to Udemy online training courses - Growth opportunities

• Cloud Migration: Lead and execute the migration of client workloads to AWS, encompassing assessment, planning, design, implementation, and optimization phases. • Managed Services: Provide proactive monitoring, management, and support for client cloud environments, ensuring high availability, security, and performance. • Solution Architecture: Design and implement scalable, resilient, and secure cloud architectures on AWS, leveraging best practices and industry standards. • Automation & DevOps: Champion automation initiatives, develop and implement Infrastructure-as-Code (IaC) solutions, and promote DevOps principles. • Client Collaboration: Build strong relationships with clients, acting as a trusted advisor and technical expert. Effectively communicate complex technical concepts to both technical and non-technical audiences. • Continuous Improvement: Proactively identify opportunities to optimize cloud environments, improve operational efficiency, and enhance service delivery. • Security and Compliance: Design and implement security measures, including network security, identity and access management, encryption, data protection and adherence to industry compliance standards. • Incident Management: Diagnose and resolve complex cloud-related issues, identify root causes, and address incidents to reduce downtime effectively. Participation in an after-hours, rotational on-call schedule is required to address critical issues as they arise. • Emerging Technologies: Stay up to date with the latest trends and advancements in cloud technologies, migration strategies, and architectural patterns. Evaluate emerging technologies and recommend their adoption to enhance cloud architecture capabilities and drive innovation.