Senior Analytics Engineer - Snowflake & dbt

Brooklyn Park, MN, US • Posted 6 days ago • Updated 2 hours ago
Full Time
On-site
USD $90,000.00 - 130,000.00 per year
Fitment

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Job Details

Skills

  • Data Architecture
  • Extract
  • Transform
  • Load
  • ELT
  • Dimensional Modeling
  • GitHub
  • Semantics
  • Performance Tuning
  • Optimization
  • Scripting
  • Data Integration
  • Orchestration
  • Version Control
  • Automated Testing
  • Data Quality
  • Reporting
  • Advanced Analytics
  • Machine Learning (ML)
  • Computer Science
  • Data Engineering
  • Analytics
  • SQL
  • Git
  • Continuous Integration
  • Continuous Delivery
  • Workflow
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Collaboration
  • Manufacturing
  • Bill Of Materials
  • Inventory
  • Supply Chain Management
  • Snow Flake Schema
  • Access Control
  • Artificial Intelligence
  • ODBC
  • ADO
  • JDBC
  • PostgreSQL
  • MySQL
  • Microsoft Power BI
  • Streaming
  • Interfaces
  • Python

Summary

Senior Analytics Engineer - Snowflake & dbt
Brooklyn Park, MN

Position Overview
We are seeking an experienced Sr Analytics Engineer to design, build, and optimize scalable manufacturing data solutions. This role focuses on developing data pipelines, transformation models, and analytics-ready data products using Snowflake and DBT. The ideal candidate will have strong data architecture, CI/CD, data quality, and performance optimization skills, with an interest in enabling advanced analytics and AI-driven solutions.

Key Technical Skills
  • Snowflake, including Cortex AI and Snowflake AI capabilities
  • DBT and Matillion (ETL/ELT)
  • Dimensional Modeling, Star Schemas, and Data Vault 2.0
  • GitHub, GitHub Actions, and CI/CD pipelines
  • SQL, MSSQL, and REST APIs
  • Power BI and semantic data layers
  • Data quality, governance, monitoring, and observability
  • Snowflake performance tuning and optimization
  • Python scripting and data integration
Key Responsibilities
  • Build and maintain scalable data ingestion, transformation, and orchestration pipelines using Snowflake, DBT, and Matillion.
  • Develop and optimize dimensional models, Data Vault 2.0 architecture, and analytics-ready data layers.
  • Implement CI/CD workflows, source control, automated testing, and deployment processes.
  • Establish data quality controls, monitoring, logging, and governance standards.
  • Optimize Snowflake performance, SQL queries, and compute utilization.
  • Partner with business stakeholders and product owners to translate requirements into technical solutions.
  • Develop secure, well-governed data products that support Power BI reporting, advanced analytics, AI, and machine learning.
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 6+ years of data engineering and/or analytics engineering experience.
  • Strong hands-on experience with Snowflake, DBT, SQL, and Git-based CI/CD workflows.
  • Experience integrating data from MSSQL, REST APIs, and enterprise data sources.
  • Strong problem-solving, communication, and cross-functional collaboration skills.
Preferred Qualifications
  • Experience with Data Vault 2.0 and manufacturing data, including BOMs, inventory, work orders, supply chain, quality, and production metrics.
  • Familiarity with Snowflake Cortex AI, Cortex Analyst, Cortex Search, Snowpark, and AI agents.
  • Experience with Snowflake governance, role-based access controls, and AI-ready data products.
  • Knowledge of ODBC, ADO, JDBC, PostgreSQL, MySQL, or MariaDB.
  • Experience with Power BI, streaming data, machine interfaces, and Python-based integrations.
#LI-DF1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10488758
  • Position Id: a9d240038318055170a3f6f1fbb09bcd
  • Posted 6 days ago
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