Principal Engineer, Business Intelligence [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Engineer, Business Intelligence based in the United States.

This role is a senior technical leadership opportunity focused on designing and scaling enterprise-grade Business Intelligence ecosystems that power data-driven decision-making across the organization. You will define the architecture and technical standards for BI platforms, ensuring reliability, performance, governance, and scalability across complex data environments. The position requires deep expertise in modern data stack technologies, including cloud data platforms, ETL pipelines, and advanced BI tools. You will collaborate closely with business stakeholders, analytics teams, and data engineers to transform requirements into high-impact dashboards, automated workflows, and analytical solutions. Beyond execution, you will play a key role in shaping BI strategy, improving data accessibility, and enabling self-service analytics at scale. This is a highly influential role where you will also mentor teams and drive innovation across data engineering and analytics practices.

Accountabilities:

• 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.
• Support data modeling, ETL development, and integration across multiple data sources including Oracle, SQL Server, BigQuery, and others.
• 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.
• Ensure strong data governance, lineage, and quality monitoring using tools such as Monte Carlo.
• Partner with data science teams to enable AI/ML-driven analytics, including predictive and prescriptive insights.
• Explore and integrate emerging technologies such as generative AI, natural language querying, and intelligent BI capabilities.

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 , including dashboard development and optimization.
• 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.
• Strong communication skills and ability to collaborate with technical and non-technical stakeholders.

Nice to have:

• Experience with Azure Data Factory, Microsoft Fabric, or similar orchestration tools.
• Exposure to AI/ML integration in BI environments.
• Experience with frontend technologies (HTML, CSS, JavaScript) for dashboard enhancement.
• Knowledge of REST APIs, Postman, and metadata management practices.
• Experience building enterprise BI governance frameworks and certified datasets.

Benefits:

• Competitive annual salary ranging from $97,386 to $170,000.
• Fully remote work option available across the United States.
• Comprehensive health, dental, and vision insurance coverage.
• Retirement savings plan with employer contributions (where applicable).
• Paid time off and flexible work arrangements.
• Professional development and training opportunities.
• Exposure to advanced BI, cloud, and AI-driven analytics technologies.
• Opportunity to work in a highly technical, data-driven enterprise environment.
• Occasional domestic travel opportunities (up to 10%).

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.