Data Platform Engineer

MindexRochester, NY
Remote

About The Position

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.

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
  • Applicants must be authorized to work for any employer in the United States.
  • Mindex is unable to sponsor employment visas at this time.

Nice To Haves

  • 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

Responsibilities

  • 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

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
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