Data Platform Engineer - Remote

Role Overview

Mindex is hiring a Data Platform Engineer (Remote) to design, build, and optimize scalable data solutions for analytics, reporting, and business decision-making.

What You’ll Accomplish

• Design 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
• Profile and analyze source data from complex, multi-domain systems to identify data quality issues
• Write advanced SQL to investigate data, validate transformations, and support reporting/analytics
• Collaborate with data architects to implement canonical data models and ensure consistency across domains

Requirements

• 2+ years with Snowflake (dynamic tables, views, performance tuning, schema design)
• 3+ years advanced SQL
• 2+ years with dbt Core (models, tests, macros, sources, lineage)
• Experience with data ingestion/replication tools such as Informatica, Fivetran, Openflow, or similar
• Experience working with complex, poorly documented, multi-source datasets and addressing data quality issues
• Python proficiency
• Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent experience

Preferred Qualifications

• Experience implementing dimensional/canonical/enterprise data models
• Exposure to data lineage, metadata management, or data quality frameworks
• Experience supporting modern analytics platforms on Snowflake + dbt
• Domain experience with enterprise HR, payroll, financial, or customer data

Compensation & Work Setup

• $100,000–$150,000 compensation
• Fully Remote work environment

Eligibility

• Applicants must be authorized to work in the United States; no visa sponsorship.