BI Engineer: Scale Data Pipelines & Dashboards

BALLY’S INTRALOT SA; Little Rock (AR); On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

401k Match

Paid Holidays & Leave

Disability Insurance

Parental Leave

Job summary

Bally’s Intralot SA is seeking a BI Engineer to design, build, and maintain scalable data pipelines, data models, and analytics-ready datasets. You will work with BI analysts and data scientists to deliver reliable data solutions across cloud environments.

The role requires experience with SQL databases, Databricks, and Tableau, with the ability to ensure data quality and governance across enterprise data assets.

Qualifications

• Knowledge of modern data engineering practices and BI frameworks.
• Experience with SQL databases and data modeling for analytics.
• Experience building scalable data pipelines and data lakehouse architectures.

Responsibilities

• Design, build, and maintain scalable data pipelines for BI, analytics, and reporting.
• Develop and optimize ETL/ELT workflows using Databricks and cloud services.
• Design and maintain data models and layers to support BI tools like Tableau.
• Ingest and manage data from multiple sources, including APIs and vendors.
• Support data platforms including data warehouses and data lakes.

Skills

SQL & Relational DBs

Databricks

Cloud platforms (AWS/Azure/GCP)

Data Lake/Lakehouse

Tableau

ETL/ELT

Data governance

Data modeling

AI/ML tools

Data pipelines

BI frameworks

Education

B.S. in Computer Science, Data Engineering, or related field

2-4 years experience in data engineering or analytics roles

Experience with SQL-based databases (MySQL, SQL Server, PostgreSQL)

Databricks or Spark-based processing experience

Tableau or similar BI tools experience

Tools

Databricks

Tableau

Job description

Bally’s Intralot SA is seeking a BI Engineer to design, build, and maintain scalable data pipelines, data models, and analytics-ready datasets. You will work with BI analysts and data scientists to deliver reliable data solutions across cloud environments.

The role requires experience with SQL databases, Databricks, and Tableau, with the ability to ensure data quality and governance across enterprise data assets.