Business Intelligence Engineer

Cold Spring Granite; Cold Spring (MN); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Health

Dental

Optical

Medical FSA/HSA

Dependent Care FSA

401K with Company Match

Profit Sharing (ROA)

PTO

Holidays

Jury Duty

Funeral Leave

Short Term Disability

Long Term Disability

Basic Life Plan

Job summary

Coldspring is seeking a Business Intelligence Engineer to make company data usable across the organization. You will own the gold data layer, dbt transformations, and certified sources, partnering with cross-functional BI teams to deliver trusted KPIs and dashboards.

The role emphasizes data modeling, testing, and data quality within a growing data warehouse. You will collaborate closely with business users and the BI team to translate questions into data requirements, while guiding standards,

Qualifications

• Bachelor’s degree preferred; associate degree or relevant experience may be considered.
• 5+ years in BI, analytics engineering, or data engineering with advanced SQL and dbt ownership.
• Experience with BI visualization tools (Tableau/Power BI) and data sources.
• Ability to explain technical data concepts to non-technical users.

Responsibilities

• Set up, configure, and maintain the dbt environment for transforming Coldspring data.
• Build and maintain dbt models from bronze to gold with data quality tests.
• Translate business questions into data requirements and deliver answers at required levels.
• Design and build the gold layer with conformed datasets across domains.
• Establish naming, testing, documentation, and version control standards for transformation code.
• Publish and certify data sources with owners, refresh schedules, and data dictionaries.
• Own certification standards and lifecycle for data sources.
• Centralize calculations and metrics in the data layer; avoid per-report logic.
• Develop KPIs, dashboards, and recurring reports for teams without in-house capabilities.
• Identify data quality gaps and coordinate with source system owners to resolve them.
• Contribute to ongoing data warehouse development alongside the BI team.

Skills

Advanced SQL

dbt

Dimensional modeling

Git / Source control

Tableau

Power BI

Data visualization

Python

Education

Bachelor’s degree

Tools

JD Edwards

dbt

Job description

Description

Status: This is a full-time; salaried position
Hours: Monday - Friday: 8am - 5pm

Benefits Offered to Full-time Employees:

• Health
• Dental
• Optical
• Medical FSA/HSA
• Dependent Care (FSA)
• Basic Life Plan
• Short Term Disability
• Long Term Disability
• 401K with Company Match
• Profit Sharing (ROA)
• PTO (Vacation)
• Holidays
• Jury Duty
• Funeral Leave

JOB SUMMARY: The Business Intelligence Engineer is responsible for making Coldspring’s data usable by the business. Coldspring is building a medallion data architecture — a bronze layer of raw source data, a silver layer in our SQL data warehouse, and a gold layer of curated, business-facing data. This position is embedded in our cross-functional BI team, where a project manager handles intake and prioritization, and is responsible for the technical design and delivery of the gold layer, the certified data sources the company relies on, and the KPIs, dashboards, and reporting used to make business decisions. This position also owns our dbt environment and the transformation logic that moves data from bronze, to silver, to gold. Key skills for this position include SQL, dbt, dimensional data modeling, Tableau, and the ability to communicate effectively with non-technical business users.

Coldspring has spent the past two years building the foundation for this role — a working data warehouse sourced from JD Edwards, with a dedicated developer maintaining the integration. The gold layer is greenfield. This is the first position dedicated to making that data usable across the company, so you would be establishing the patterns, the standards, and the certification practice rather than inheriting someone else’s. You would be working with people who know the business well and want better access to their data.

WHAT YOU'LL BE DOING:

• Set up, configure, and maintain the dbt environment used to transform Coldspring data
• Build and maintain the dbt models that move data from the bronze layer, to silver, to gold, including data quality tests and monitoring
• Work with business users, alongside the BI team, to translate business questions into data requirements and deliver answers at the level each requester needs
• Design and build the gold layer: curated, business-facing data models, including conformed and pre-joined data sets spanning sales, production, shipping, and other domains
• Establish standards for naming, testing, documentation, and version control of transformation code
• Publish, certify, and manage the company’s certified data sources, including their names, descriptions, owners, refresh schedules, and the data dictionary and metric definitions behind them
• Own the certification standard: what qualifies as certified, how changes are handled, and when a source is retired
• Centralize business calculations and metric definitions in the data layer, not in individual reports
• Build KPIs, dashboards, and recurring reporting for teams that cannot build their own
• Identify data quality and data capture gaps and help resolve them with source system owners
• Contribute to the ongoing development of the underlying data warehouse alongside the BI developer
• Work as an embedded member of the cross-functional BI team, receiving prioritized work through IT and the team’s project manager, while owning the technical approach and design decisions
• Partner with the project manager on scoping and effort estimates for incoming requests
• Provide guidance to business users on the certified data sources, including occasional informal training

Requirements

QUALIFICATIONS:

• Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field preferred; an associate degree or demonstrated experience may be considered in place of a bachelor’s degree
• 5+ years of combined experience in business intelligence, analytics engineering, or data engineering roles. Depth in the following matters more than years served: Advanced SQL, including writing, optimizing, and troubleshooting complex queries dbt, including standing up a project and owning model development, testing, and structure (2+ years hands‑on), Dimensional data modeling (facts, dimensions, and grain), Git / source control, and hands‑on front end visualization and dashboard development in a BI platform such as Tableau or Power BI
• Experience with several of the following is preferred: Tableau specifically, including publishing and managing certified data sources, data sourced from a transactional ERP system (JD Edwards a plus), layered or medallion data architectures, modern data transformation and testing workflows, python or other scripting for data preparation
• Ability to explain technical data concepts to a non-technical audience
• Strong collaboration, relationship management, and communication skills
• Works with business users to understand the requirements behind a request, and asks questions when they are unclear
• Good judgment, logical thinker and detail oriented
• Ability to drive projects to completion and flag blockers early
• Manufacturing, production, or distribution industry experience preferred

MAKE YOUR MARK AND MAKE IT LAST

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, please call or text Karissa Lintgen at 320-685-4681 or email Karissa at [e-mail] for assistance.

COLDSPRING IS A VETERAN-FRIENDLY, WELLNESS ORIENTED, TOBACCO-FREE COMPANY.

Coldspring is an affirmative action employer, including Veterans and Individuals with Disabilities.

This is a representation of the position's entire pay grade range. Starting pay is based on an individual’s skills, experience, and at the discretion of the hiring team.