Principal Engineer, Business Intelligence

New
Based in the United StatesFull-TimePrincipal
Salary97,386 - 170,000 USD per year
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Job Details

Experience
2+ years of experience
Required Skills
PythonSQLETLSnowflakeTableauSparkCI/CDdbtDatabricks

Requirements

  • Master’s degree (or equivalent experience) in Computer Science, Information Systems, Engineering, or related field.
  • 2+ years of experience in Business Intelligence engineering or similar roles.
  • Strong hands-on expertise with BI tools such as Tableau and Spotfire.
  • Experience building and maintaining data pipelines using tools like Snowflake, dbt, and ETL platforms.
  • Proficiency in working with multiple data sources including Oracle, SQL-based systems, PostgreSQL, and cloud data warehouses.
  • Experience with Databricks and Spark ecosystem (DataFrames, Spark SQL, Delta Lake).
  • Knowledge of CI/CD practices for data and BI deployment automation.
  • Familiarity with Python for data workflows and automation (e.g., pandas, NumPy, Plotly).
  • Understanding of data architecture principles, including data modeling, ETL, and governance.
  • Ability to provide technical leadership, mentor teams, and guide BI best practices.

Responsibilities

  • Lead the architecture, design, and implementation of scalable Business Intelligence solutions ensuring data integrity, accuracy, and security.
  • Develop and optimize BI systems and dashboards using tools such as Tableau, Spotfire, and other modern visualization platforms.
  • Design and maintain scalable data pipelines using Snowflake and dbt, supporting efficient data transformation and delivery.
  • Collaborate with cross-functional teams to gather requirements and translate them into robust BI solutions and dashboards.
  • Implement and enhance data integration workflows using Databricks, Spark, Delta Lake, and related big data technologies.
  • Optimize BI performance through advanced Tableau capabilities, APIs, metadata management, and repository structures.
  • Build and maintain CI/CD pipelines to automate deployment and ensure reliability of BI and data workflows.
  • Develop automation solutions using Python to streamline reporting, data processing, and business workflows.
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97,386 - 170,000 USD per year
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