> Markdown version of [/jobs/ext/3963050-it-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3963050-it-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# IT Analytics Engineer

- **Company:** Intepros Incorporated
- **Location:** Brooklyn Park, MN, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, ARM Architecture, Automation of Tests, Microsoft Azure, Continuous Integration, Data Architecture, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Vault Modeling, Data Warehousing, Dimensional Modeling, Github, Java Database Connectivity, Python (Programming Language), PostgreSQL, Machine Learning, MariaDB, Microsoft SQL Server, MySQL, Open Database Connectivity, Performance Tuning, Power BI, SQL Databases, Data Streaming, Systems Integration, Technical Data Management Systems, Data Logging, Scripting, Data Ingestion, Snowflake, Agentic-AI, Git, Data Layers, Information Technology, Restful APIs, Software Version Control, Data Pipelines
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/8fccb15f-b02e-4f5d-b28a-9bda1c985051

## About the Role

We are seeking an experienced IT 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, DBT, and Matillion. 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., * Snowflake, including Cortex AI and Snowflake AI capabilities

 * DBT and Matillion (ETL/ELT)
 * Dimensional Modeling, Star Schemas, and Data Vault 2.0
 * Medallion Architecture (Bronze, Silver, Gold)
 * 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, * 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 with Medallion/Lakehouse architectures and dimensional data modeling.
 * Experience integrating data from MSSQL, REST APIs, and enterprise data sources.
 * Strong problem-solving, communication, and cross-functional collaboration skills., * 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.

## Description

* 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.