Analytics Engineer: Snowflake/dbt, Data Pipelines (Hybrid)

IRIS Consulting LLC

Brooklyn Park (MN)

Hybrid

USD 110,000 - 140,000

Full time

2 days ago
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Job summary

IRIS Consulting LLC in Brooklyn Park, MN is seeking a hands-on Analytics Engineer to transform complex manufacturing data into analytics-ready data products. You will work across Snowflake, dbt, SQL, and modern ELT/CI/CD practices to build scalable data pipelines and semantic layers that support reporting and future AI initiatives.

This role offers end-to-end ownership of technical work and closer engagement with engineering.

Qualifications

  • 3+ years of Data Engineering or Analytics Engineering experience.
  • Strong hands-on experience with Snowflake.
  • dbt, SQL, and modern ETL/ELT practices.

Responsibilities

  • Build and maintain scalable transformation pipelines using dbt and Snowflake.
  • Design dimensional models, star schemas, and analytics-ready data marts.
  • Develop and optimize SQL transformations across raw, integrated, and reporting layers.
  • Work within a Medallion-style bronze/silver/gold architecture.
  • Support ingestion and orchestration using Matillion or similar ETL/ELT platforms.
  • Implement automated testing, data-quality controls, monitoring, and reconciliation.
  • Maintain source control and deployment processes using Git/GitHub and CI/CD.
  • Partner with stakeholders to translate requirements into technical solutions.
  • Optimize Snowflake performance, compute utilization, and query execution.
  • Help build governed data products and semantic layers for analytics and AI initiatives.

Skills

Snowflake
dbt
SQL
Git/GitHub
ETL/ELT
Data pipelines
CI/CD
Production data pipelines

Tools

Matillion

Job description

IRIS Consulting LLC in Brooklyn Park, MN is seeking a hands-on Analytics Engineer to transform complex manufacturing data into analytics-ready data products. You will work across Snowflake, dbt, SQL, and modern ELT/CI/CD practices to build scalable data pipelines and semantic layers that support reporting and future AI initiatives.

This role offers end-to-end ownership of technical work and closer engagement with engineering.

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