Senior BI Engineer (Looker)

Tredence Inc.; United States; Remote; USD 130,000 - 170,000; Full time

Job summary

Tredence Inc. is seeking a Senior BI Engineer (Looker) to design and build scalable BI solutions in a remote setting across the USA. You will develop Looker models, dashboards, and semantic layers, collaborating with stakeholders to drive data-driven decisions.

You will apply deep SQL skills, data warehousing concepts, and cloud analytics experience to deliver reliable analytics, governance, and self-service capabilities for enterprise users.

Qualifications

• Experience designing and developing scalable BI solutions.
• Strong SQL and data warehousing concepts required.
• Hands-on Looker/LookML development and semantic modeling knowledge.
• Experience with cloud data platforms and data pipelines.

Responsibilities

• Design, develop, and maintain enterprise-scale BI solutions using Looker.
• Build and optimize LookML models, explores, dashboards, and reports.
• Collaborate with stakeholders to gather reporting requirements.
• Translate business needs into scalable BI solutions.
• Maintain semantic layers and data models for reporting consistency.
• Partner with data engineering to improve data quality and performance.
• Create executive dashboards and self-service analytics capabilities.
• Optimize SQL and Looker performance for large datasets.
• Establish BI governance, data definitions, and reporting standards.
• Conduct root cause analysis and troubleshoot discrepancies.
• Mentor junior BI engineers and promote BI best practices.
• Support ad-hoc analytics and provide actionable insights.

Skills

Looker

LookML

SQL

Data modeling

Data warehousing

ETL/ELT

Agile

Communication

Education

Bachelor's degree in CS/IS/Analytics/Engineering

Tools

Looker

Snowflake

BigQuery

Redshift

Databricks

dbt

Tableau

Power BI

Job description

Job Title : Senior Business Intelligence Engineer (Looker)

Location : Remote (Anywhere in USA)

Job Summary

We are seeking an experienced Senior BI Engineer with strong expertise in Looker, data modeling, and modern cloud data platforms. The ideal candidate will be responsible for designing and developing scalable business intelligence solutions, creating insightful dashboards, enabling self-service analytics, and partnering with business stakeholders to drive data-driven decision-making.

The role requires a strong foundation in SQL, data warehousing, BI development, and data visualization, with hands-on experience in LookML, dimensional modeling, and cloud-based analytics environments.

Key Responsibilities

• Design, develop, and maintain enterprise-scale BI solutions using Looker.
• Build and optimize LookML models, explores, dashboards, and reports.
• Collaborate with business stakeholders to gather reporting and analytics requirements.
• Translate business needs into scalable and reusable BI solutions.
• Develop and maintain semantic layers and data models to ensure consistency across reporting.
• Partner with data engineering teams to improve data quality, reliability, and performance.
• Create executive dashboards and self-service analytics capabilities.
• Optimize SQL queries and Looker performance for large-scale datasets.
• Establish BI governance, data definitions, and reporting standards.
• Conduct root cause analysis and troubleshoot reporting discrepancies.
• Mentor junior BI engineers and promote best practices in BI development.
• Support ad-hoc analytics and provide actionable business insights.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field.
• 6+ years of experience in Business Intelligence, Analytics, or Data Engineering.
• 3+ years of hands-on experience with Looker.
• Strong expertise in LookML, dashboard development, and semantic modeling.
• Advanced SQL skills with experience querying large datasets.
• Strong understanding of data warehousing concepts and dimensional modeling.
• Experience working with cloud data platforms such as Snowflake, BigQuery, Redshift, or Databricks.
• Experience with ETL/ELT processes and data pipelines.
• Strong analytical, problem-solving, and communication skills.
• Experience working in Agile environments.

Preferred Qualifications

• Experience with Google Cloud Platform (GCP), AWS, or Azure.
• Knowledge of Python for data analysis and automation.
• Experience with dbt and modern data stack technologies.
• Exposure to data governance and data quality frameworks.
• Familiarity with other BI tools such as Tableau or Power BI.
• Looker certification is highly desirable.

Nice-to-Have Experience

• Experience supporting executive-level reporting and strategic decision-making.
• Building enterprise semantic layers and self-service analytics platforms.

Success Metrics

• Dashboard adoption and stakeholder satisfaction.
• Data accuracy and reporting reliability.
• Query and dashboard performance improvements.
• Reduction in report development turnaround time.
• Increased self-service analytics usage across the organization.