Business Intelligence Engineer

Intertech; Coldspring (TX); Hybrid; USD 85,000 - 95,000; Full time

Job summary

Intertech, Inc. is seeking a Business Intelligence Engineer in a hybrid contract-to-hire role. The candidate will build and maintain a medallion-style data architecture, own the dbt environment, and deliver gold-layer data and BI dashboards for business users.

Strong SQL, dbt, and Tableau skills are essential, with JD Edwards experience a plus. The role sits in a cross-functional BI team, collaborates with stakeholders, and influences data standards, naming conventions, and data-source

Qualifications

• Bachelor’s degree preferred; associate degree or experience may substitute.
• 5+ years in BI/analytics/data engineering; deep SQL, dbt (2+ yrs), data modeling, Git, dashboards.
• Strong ability to explain technical concepts to non-technical users.
• Experience with Tableau or Power BI; JD Edwards a plus.

Responsibilities

• Set up, configure, and maintain the dbt environment used to transform data.
• Build and maintain dbt models moving data from bronze to gold with data quality tests.
• Translate business questions into data requirements and deliver answers.
• Design and build curated, business-facing gold layer data models across domains.
• Establish naming, testing, documentation, and version control standards.
• Publish and certify data sources with descriptions, owners, and refresh schedules.
• Own the certification standard and retirement criteria for sources.
• Centralize business calculations in the data layer and build KPIs/dashboards.
• Identify data quality gaps and work with source system owners to resolve.
• Contribute to data warehouse development with the BI team.

Skills

SQL

dbt

Dimensional modeling

Tableau

Education

Bachelor’s degree in CS/IS/Business Analytics

Tools

Git

Power BI

JD Edwards

Job description

Business Intelligence Engineer

• Hybrid contract to hire opportunity


• Candidate must be local to Minnesota and willing to go into the office in Cold Spring, MN

JOB SUMMARY:

The Business Intelligence Engineer is responsible for making data usable by the business. Client 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.

Our client 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 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

Target salary range is 85-95k, comparable contract rates for W2/1099/C2C. These are negotiable.