BI Engineer: Dashboards, ETL & Data Modeling Expert

ACCEPTED

Kentucky

Hybrid

USD 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Bonus program
Health, dental and life insurance
Professional development

Job summary

Accepted is a software and digital transformation services firm helping clients accelerate innovation. We’re seeking a BI Engineer to strengthen our hybrid delivery teams in Kentucky.

The role focuses on building dashboards, modeling data with tabular models, and developing robust ETL pipelines using SQL and Microsoft data warehousing tools. The ideal candidate has 3+ years of experience with SQL, ETL, SSIS, Power BI, and SSRS, plus familiarity with Git and modern cloud platforms such as Azure

Qualifications

  • 3+ years of professional experience with SQL, ETL and Microsoft Data Warehousing.
  • Experience with SSIS, Power BI, and SSRS.
  • Knowledge of Git or similar version control systems preferred.
  • Familiarity with Azure or Databricks is advantageous.
  • Bachelor's degree in Computer Science or Software Engineering.

Responsibilities

  • Build Dashboards: Create interactive, user-friendly BI reports.
  • Model Data: Develop and optimize tabular models using DAX.
  • Develop ETL Pipelines: Write and maintain SQL scripts to build robust data pipelines.
  • Collaborate: Work closely with team members to execute data projects and successfully complete tasks.
  • Ensure Quality: Manage workspaces, enforce security protocols, and optimize report performance.

Skills

SQL & ETL experience
Dimensional data modeling
Python programming

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

SSIS
Power BI
SSRS
Git
Azure Databricks
Apache Spark

Job description

Accepted is a software and digital transformation services firm helping clients accelerate innovation. We’re seeking a BI Engineer to strengthen our hybrid delivery teams in Kentucky.

The role focuses on building dashboards, modeling data with tabular models, and developing robust ETL pipelines using SQL and Microsoft data warehousing tools. The ideal candidate has 3+ years of experience with SQL, ETL, SSIS, Power BI, and SSRS, plus familiarity with Git and modern cloud platforms such as Azure

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