BI Engineer

Intralot

$80K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in relevant field or equivalent experience
  • 2-4 years in data engineering or related roles
  • At least 2 years with SQL-based databases (e.g., MySQL)
  • Experience with Databricks or Spark-based platforms preferred
  • Experience developing dashboards with Tableau preferred

Responsibilities

  • Design and maintain scalable data pipelines for business intelligence
  • Optimize ETL/ELT workflows using modern data platforms
  • Create and manage data models for BI tools
  • Integrate data from multiple sources into a Data Lake
  • Support enterprise data platforms like data warehouses
  • Collaborate with cross-functional teams to meet data needs
  • Monitor data pipeline performance and implement improvements
  • Ensure data governance and quality through established practices
  • Document data architecture and processes for clarity

Benefits

  • Medical, Dental & Vision Insurance
  • 6% 401k Match
  • Paid Holidays, Vacation, and Sick Leave
  • Short/Long Term Disability
  • Maternity/Paternity Leave
Full Job Description
Duties and Responsibilities
  • Design, build, and maintain scalable data pipelines and data integration processes to support business intelligence, analytics, and reporting initiatives
  • Develop and optimize ETL/ELT workflows and data transformation pipelines using modern data platforms including Databricks and cloud-based data services
  • Design, implement, and maintain data models and curated data layers to support business intelligence tools such as Tableau
  • Ingest, integrate, and manage data from multiple sources including internal systems, external vendors, APIs, and structured and unstructured data within a Data Lake architecture
  • Support the development and maintenance of enterprise data platforms including data warehouses, data lakes, and analytics environments
  • Collaborate with BI analysts, data scientists, developers, and business stakeholders to understand data requirements and deliver scalable data solutions
  • Develop and maintain datasets and data services that enable reporting, dashboards, and advanced analytics
  • Monitor data pipelines, troubleshoot performance issues, and implement improvements to ensure reliability, scalability, and data quality
  • Implement data governance, data validation, and data quality controls to ensure accuracy and consistency of enterprise data
  • Utilize internal and external AI tools to support data exploration, automation, and advanced analytics capabilities
  • Document data architecture, data flows, standards, and processes to support maintainability, governance, and knowledge sharing
  • Support deployment and operations of data solutions in cloud environments
  • Other duties as assigned

Knowledge, Skills, and Abilities
  • Knowledge of modern data engineering practices, data architecture, and business intelligence frameworks
  • Strong experience with SQL and relational database systems such as MySQL or similar platforms
  • Experience designing and developing scalable data pipelines using Databricks or similar distributed data processing platforms
  • Experience working with cloud data platforms such as AWS, Azure, or Google Cloud Platform and related data services
  • Experience implementing and managing Data Lake or Lakehouse architectures
  • Experience building and supporting dashboards and analytics solutions using Tableau or similar business intelligence tools
  • Understanding of ETL/ELT frameworks, data transformation processes, and workflow orchestration tools
  • Experience working with structured and unstructured data and large-scale datasets
  • Familiarity with data modeling techniques including dimensional modeling for analytics and reporting
  • Understanding of data governance, data security, and data quality management practices
  • Experience using internal and external AI or machine learning tools to support data analysis, automation, or enrichment
  • Ability to analyze complex data problems and develop scalable and efficient solutions
  • Ability to work effectively both independently and as a team member in a cross-functional environment
  • Strong oral and written communication skills

Education, Training, and Experience
  • B.S. in Computer Science, Data Engineering, Information Systems, Data Science, or a related field; or equivalent combination of training and experience
  • 2-4 years experience in data engineering, business intelligence development, analytics engineering, or related data-focused roles
  • At least 2 years experience working with SQL-based databases such as MySQL, SQL Server, PostgreSQL, or similar relational database platforms
  • Experience working with Databricks, Spark-based data processing, or similar modern data engineering platforms preferred
  • Experience developing dashboards and analytics solutions using Tableau or similar BI tools preferred
  • Experience working with cloud data environments (AWS, Azure, or GCP) and data storage platforms such as data lakes or cloud data warehouses preferred

Benefits

Bally's Intralot offers a competitive benefits package:
  • Medical, Dental & Vision Insurance
  • 6% 401k Match
  • Paid Holidays, Vacation, and Sick Leave
  • Short/Long Term Disability
  • Maternity/Paternity Leave

Travel

Some travel required up to 10%

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