BI Engineer

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

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
• Familiarity with data modeling techniques including dimensional modeling for analytics and reporting
• Understanding of data governance, data security, and data quality management practices
• Familiarity with data exploration, automation, and enrichment using internal and external AI or machine learning tools
• 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