✨ AI Insights & Summary
This Data Platform Engineer role at Mindex presents a fantastic opportunity for seasoned professionals to architect and implement cutting-edge data solutions within a forward-thinking company. Mindex, with over 30 years of experience in custom software, cloud, data, and AI, offers a collaborative environment where innovation and employee growth are paramount. Ideal candidates will leverage their expertise in Snowflake and DBT to build robust data platforms that drive critical business decisions, making this a role with significant impact and professional development potential.
About Mindex
For more than 30 years, Mindex has helped organizations solve complex business challenges through custom software, cloud, data, and AI solutions. We combine deep technical expertise with a collaborative culture that empowers our employees to innovate, grow, and make a meaningful impact for our clients.
In our Product division, our teams have built platforms such as SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, while also supporting solutions like MTSS Edge and ClearTrack that help schools and organizations make smarter, data-driven decisions.
About the Role
Mindex is seeking a Data Platform Engineer to design, build, and optimize scalable data solutions that support analytics, reporting, and business decision-making. In this role, you’ll work across complex data domains to develop robust data models, build ingestion pipelines, and ensure data quality throughout the data lifecycle. You’ll collaborate closely with data architects, engineers, and business stakeholders to deliver trusted, high-performing data platforms.
What You’ll Accomplish
- 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
Requirements
- 2+ years of experience with Snowflake, including dynamic tables, views, performance tuning, and schema design
- 3+ years of hands-on experience with advanced SQL
- 2+ years of experience with DBT Core, including models, tests, macros, sources, and lineage
- Experience with data ingestion and replication tools such as Informatica, Fivetran, Openflow, or similar technologies
- Experience working with complex, poorly documented, or multi-source datasets and identifying data quality issues
- Proficiency in Python
- Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent professional experience
Preferred Qualifications
- Experience implementing dimensional, canonical, or enterprise data models
- Experience with data lineage, metadata management, or data quality frameworks
- Experience supporting modern analytics platforms built on Snowflake and DBT
- Experience working with enterprise HR, payroll, financial, or customer data domains
Compensation
$100,000 - $150,000
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.