PSI (Proteam Solutions) logo
PSI (Proteam Solutions)
Posted 19 days agoVerified live 1d ago

Data Engineer

Brief overview

Remote
UndergradOr in progress
3+ yrsMinimum
Medallion ArchitectureDatabricksData ModelingData GovernanceERwinER/StudioSnowflakeCloud Data WarehousingDimensional Modeling (Kimball)Data VaultData QualityData Lineage

About the company

PSI (Proteam Solutions) logo
PSI (Proteam Solutions)psi92.com

Established in 1992, PSI (Proteam Solutions Inc) has grown from a one man start up to a multi-million dollar IT Consulting, Workforce Solutions and Enterprise Resource Solutions firm providing senior-level consulting and talent management solutions to both the Private and Public Sector.

Job description

Summary

PSI (Proteam Solutions) is seeking a Data Engineer for a remote role in Dublin, Ohio. The position focuses on enterprise data modeling, governance, data quality, and architecture across modern data platforms such as Databricks and Snowflake.

Responsibilities

  • Candidate should have strong understanding of Medallion Architecture in Databricks
  • Design and maintain conceptual, logical, and physical data models
  • Ability to handle large-scale, enterprise-wide domains (cross-functional data)
  • Define and enforce data modeling standards, naming conventions, and governance practices
  • Align models with enterprise data architecture and business strategy
  • Translate business requirements into structured data models
  • Ensure models support data integration, consistency, and reusability
  • Embed data quality rules, lineage, and metadata management into designs
  • Hands-on experience with tools like ERwin, ER/Studio, or similar
  • Strong understanding of modern data platforms (Databricks, Snowflake, cloud DWs) and how modeling fits into them
  • Knowledge of dimensional modeling (Kimball) and/or Data Vault

Skills

  • Candidate should have strong understanding of Medallion Architecture in Databricks
  • Ability to handle large-scale, enterprise-wide domains (cross-functional data)
  • Hands-on experience with tools like ERwin, ER/Studio, or similar
  • Strong understanding of modern data platforms (Databricks, Snowflake, cloud DWs) and how modeling fits into them
  • Knowledge of dimensional modeling (Kimball) and/or Data Vault

Qualifications

Must Haves

  • Candidate should have strong understanding of Medallion Architecture in Databricks
  • Ability to handle large-scale, enterprise-wide domains (cross-functional data)
  • Hands-on experience with tools like ERwin, ER/Studio, or similar
  • Strong understanding of modern data platforms (Databricks, Snowflake, cloud DWs) and how modeling fits into them
  • Knowledge of dimensional modeling (Kimball) and/or Data Vault

Benefits

  • Remote work arrangement

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