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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. 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.

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: <ul><li>Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. </li></ul><ul><li>Provide operational support and troubleshooting for existing processes and systems. </li></ul><ul><li>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. </li></ul><ul><li>Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. </li></ul><ul><li>Ensure data extraction, transformation and loading data meet data security & compliance requirements. </li></ul><ul><li>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. </li></ul><ul><li>Create data tools for data scientist team members that assist them in building and optimizing models. </li></ul>Requirements<ul><li>BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. </li></ul><ul><li>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. </li></ul><ul><li>4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement </li></ul><ul><li>2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. </li></ul><ul><li>2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. </li></ul><ul><li>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. </li></ul><ul><li>2+ years with Salesforce FSC and Salesforce Data Cloud.  </li></ul>Skills & Competencies: <ul><li>Strong communication and problem-solving skills. </li></ul><ul><li>Troubleshooting expertise. </li></ul><ul><li>Proficiency in Python, SQL. </li></ul><ul><li>Experience with Extract, Transform, Load (ETL) processes. </li></ul><ul><li>Experience building data pipelines. </li></ul><ul><li>Experience with Apache Spark and Apache Hadoop. </li></ul><ul><li>Experience with Amazon Web Services. </li></ul>Benefits<ul><li>Health insurance</li><li>Paid holidays</li><li>Flexible time off</li><li>401k retirement savings plan and company match with pre-tax and ROTH options</li><li>Dental insurance</li><li>Vision insurance</li><li>Employer paid disability insurance</li><li>Life insurance and AD&D insurance</li><li>Employee assistance program</li><li>Flexible spending accounts</li><li>Health savings account with employer contributions</li><li>Accident, critical illness, hospital indemnity, and legal assistance</li><li>Adoption assistance</li><li>Domestic partner coverage </li></ul>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.

Mindex

Data Engineer - Remote

ARM (Advanced RISC Machine)

Agile Programming Methodologies

Amazon Web Services (AWS)

Ansible

Apache Hadoop

Apache Spark

Artificial Intelligence (AI)

Automation

Big Data

Cloud Computing

Communication Skills

Computer Science

Continuous Deployment/Delivery

Continuous Integration

Cross-Functional

Customer Support/Service

Data Analysis

Data Lake

Data Management

Data Processing

Data Science

Data Sets

Data Storage

Database Extract Transform and Load (ETL)

DevOps

GitHub

Hospital

Identify Issues

Information/Data Security (InfoSec)

Legal

Machine Learning

Microsoft Windows Azure

Operational Support

Problem Solving Skills

Product Development

Python Programming/Scripting Language

R Programming Language

Regulatory Compliance

SQL (Structured Query Language)

Salesforce.com

Scalable System Development

Security Compliance

Snowflake Schema

Software Development

Software as a Service (SaaS)

Workable

3+ years of experience designing and supporting cloud-based data architectures, with a strong preference for Microsoft Azure (e.g., Azure Data Factory, Data Lake, Databricks, Spark, Azure ML, Cosmos DB) . 5+ years of hands-on experience designing and implementing modern data platforms using technologies such as Snowflake, Databricks, Spark, or similar distributed data systems .

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 Architect who enjoys solving complex business challenges and designing scalable, secure, and high-performing data solutions. This person will play a key role in shaping data strategy and architecture that supports analytics, reporting, artificial intelligence, and other data-driven initiatives.The ideal candidate is comfortable leading architecture discussions, establishing data standards and best practices, and partnering with both technical and business stakeholders. Strong communication skills are important, as you'll need to translate complex technical concepts into clear recommendations and guide teams toward effective solutions.In this role, you'll work closely with data engineers, data scientists, business leaders, and clients to design and optimize modern data platforms. You'll help ensure data systems are reliable, secure, scalable, and aligned with business goals while creating a strong foundation for future growth.Essential Functions: <ul><li>Design and implement scalable, high-performance data architectures across cloud and hybrid environments </li></ul><ul><li>Define and enforce data modeling standards, including conceptual, logical, and physical data models </li></ul><ul><li>Build and optimize enterprise data pipelines and data integration frameworks to support analytics and operational use cases </li></ul><ul><li>Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services </li></ul><ul><li>Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into robust data solutions </li></ul><ul><li>Establish and maintain data governance, data quality, and metadata management frameworks </li></ul><ul><li>Ensure data privacy, security, and compliance requirements are met across all platforms and pipelines </li></ul><ul><li>Lead architecture decisions for data storage solutions including data lakes, data warehouses, and real-time data processing systems </li></ul><ul><li>Optimize performance and cost efficiency of data platforms and workloads </li></ul><ul><li>Support Agile delivery frameworks and contribute to sprint planning, backlog grooming, and architectural roadmaps </li></ul><ul><li>Implement and oversee CI/CD pipelines and infrastructure-as-code practices for data solutions </li></ul><ul><li>Evaluate emerging technologies and recommend solutions to enhance data capabilities </li></ul>Requirements<ul><li>BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required </li></ul><ul><li>8+ years of progressive experience in data engineering, data architecture, or related disciplines, including enterprise-scale data solution design </li></ul><ul><li>5+ years of hands-on experience designing and implementing modern data platforms using technologies such as Snowflake, Databricks, Spark, or similar distributed data systems </li></ul><ul><li>Strong experience (5+ years) in Python, SQL, PySpark, R, or comparable languages for large-scale data processing and analytics </li></ul><ul><li>Proven experience architecting, building, and optimizing complex data pipelines, data ecosystems, and large, multi-source data environments </li></ul><ul><li>3+ years of experience designing and supporting cloud-based data architectures, with a strong preference for Microsoft Azure (e.g., Azure Data Factory, Data Lake, Databricks, Spark, Azure ML, Cosmos DB) </li></ul><ul><li>Demonstrated experience leading or influencing architecture decisions and establishing standards for scalable, secure, and high-performing data solutions </li></ul><ul><li>Experience implementing data governance, data security, privacy, and compliance frameworks in enterprise environments </li></ul><ul><li>Hands-on experience with Agile methodologies and leading technical design within Agile delivery teams </li></ul><ul><li>Experience with CI/CD, DevOps, and infrastructure-as-code practices (e.g., Azure DevOps, Terraform, ARM, GitHub Actions, Ansible Tower), including establishing automation and deployment standards </li></ul><ul><li>Experience integrating enterprise systems and platforms, including Salesforce FSC and/or Salesforce Data Cloud </li></ul><ul><li>Proven ability to mentor engineering teams and influence technical strategy, best practices, and architectural direction  </li></ul>Skills & Competencies: <ul><li>Strong expertise in data architecture design, including data lakes, warehouses, and streaming systems </li></ul><ul><li>Advanced proficiency in SQL and distributed data processing frameworks (e.g., Spark, Databricks) </li></ul><ul><li>Experience with Microsoft Azure and modern cloud-based data platforms </li></ul><ul><li>Knowledge of ETL/ELT design patterns and data integration best practices </li></ul><ul><li>Familiarity with data modeling techniques (dimensional, normalized, Data Vault, etc.) </li></ul><ul><li>Knowledge of CI/CD pipelines, infrastructure as code, and MLOps practices </li></ul><ul><li>Understanding of API integrations and enterprise system connectivity </li></ul>Benefits<ul><li>Health insurance</li></ul><ul><li>Paid holidays</li><li>Flexible time off</li><li>401k retirement savings plan and company match with pre-tax and ROTH options</li><li>Dental insurance</li><li>Vision insurance</li><li>Employer paid disability insurance</li><li>Life insurance and AD&D insurance</li><li>Employee assistance program</li><li>Flexible spending accounts</li><li>Health savings account with employer contributions</li><li>Accident, critical illness, hospital indemnity, and legal assistance</li><li>Adoption assistance</li><li>Domestic partner coverage </li></ul>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 $120,000 - $173,000.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.

Data Architect - Remote

Application Programming Interface (API)

Architectural Analysis

Architectural Design

Architectural Services

Backlog Prioritization

Best Practices

Cloud Architecture

Cost Control

Data Modeling

Data Quality

Data Warehousing

DataArchitect Data Modeling Tool

Design Patterns Programming Methodologies

Distributed Computing

Ecosystems

Emerging Technology

Hybrid Cloud

Leadership

Mentoring

Metadata

Multiplatform/Cross-Platform

Operational Audit

Performance Tuning/Optimization

Privacy Controls

Quality Management

Sprint Planning

System Integration (SI)

Technical Leadership

Technical Strategy

Technical/Engineering Design

Use Cases

Our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up—giving us real‑world experience designing, scaling, and supporting modern software systems. 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.

With more than 30 years in business, Mindex is a software product and professional services company with a proven history of delivering impactful solutions. We specialize in agile software development, cloud and data services, and the creation of innovative, homegrown products.Our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up—giving us real‑world experience designing, scaling, and supporting modern software systems.We’re proud to be recognized as the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100 Companies. As our client base and #ROCstar team continue to grow, we’re expanding our sales organization and looking for motivated professionals ready to make an impact.What You'll Do<ul><li>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.</li><li>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.</li><li>Environment Support: Manage and troubleshoot the health of our Windows based cloud instances, ensuring high availability for our customer base.</li><li>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.</li><li>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.</li><li>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.</li><li>Resource Optimization: Monitor resource utilization and assist in executing cost-optimization tasks, such as decommissioning unused resources or adjusting instance types for better efficiency.</li><li>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.</li><li>Continuous Learning: Stay current on AWS services and DevOps tools, contributing to the team’s documentation and helping to refine internal operational processes.</li><li>Availability: Participate in a team on-call rotation and perform scheduled after-hours technical work to support platform stability and high-priority maintenance.</li></ul>RequirementsSkills & Competencies:<ul><li>Strong understanding of cloud security principles and best practices.</li><li>Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation.</li><li>Hands-on experience supporting MSSQL environments, including a solid understanding of database fundamentals and maintenance.</li><li>Strong scripting skills in PowerShell and Python to automate operational tasks.</li><li>Excellent communication, interpersonal, and problem-solving skills.</li><li>Strong focus on exceptional customer service.</li><li>Aptitude and desire to work in a highly collaborative, self-organizing, team environment.</li><li>Highly organized & accurate.</li></ul>Education & Experience:<ul><li>AS or BS degree in Computer Science, Engineering, or related area, and/or an equivalent combination of education and experience.</li><li>2+ years of hands-on experience with cloud infrastructure and services.</li></ul>Licenses & Certifications:<ul><li>AWS Certified CloudOps Engineer - Associate or equivalent certification is highly desired.</li></ul>Physical Requirements<ul><li>Prolonged periods sitting at a desk and working on a computer</li><li>Occasional lifting of up to 10 lbs</li></ul>Work Authorization<ul><li>Applicants must be authorized to work for any employer in the U.S. Mindex is unable to sponsor, or take over sponsorship of, an employment visa at this time.</li></ul>Benefits<ul><li>Health insurance</li><li>Paid holidays</li><li>Paid time off</li><li>401k retirement savings plan and company match with pre-tax and ROTH options</li><li>Dental insurance</li><li>Vision insurance</li><li>Employer paid disability insurance</li><li>Life insurance and AD&D insurance</li><li>Employee assistance program</li><li>Flexible spending accounts</li><li>Health savings account with employer contributions</li><li>Accident, critical illness, hospital indemnity, and legal assistance</li><li>Adoption assistance</li><li>Domestic partner coverage</li></ul>Mindex Perks<ul><li>Tickets to local sporting events</li><li>Teambuilding events</li><li>Holiday and celebration parties</li></ul>Professional Development<ul><li>Leadership training</li><li>License to Udemy online training courses</li><li>Growth opportunities</li></ul>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.Base salary: $70,00 - $120,000

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Data Engineer - Remote Mindex

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