BI Engineer (Looker)

HMG AMERICA LLC; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

HMG AMERICA LLC is seeking a Senior BI Engineer (Looker) to design, develop, and maintain scalable BI solutions. You will build LookML models, dashboards, and semantic layers, partnering with stakeholders to deliver self-service analytics and data-driven insights.

The role emphasizes SQL proficiency, data warehousing concepts, and experience with cloud platforms such as Snowflake, BigQuery, Redshift, or Databricks. Remote work across the USA is supported.

Qualifications

• Bachelor's degree in CS/IS/Analytics or related field.
• 6+ years in BI/Analytics/Data Engineering.
• 3+ years hands-on Looker experience.
• Strong LookML, dashboard development, and semantic modeling.
• Advanced SQL with large datasets.
• Experience with cloud platforms (Snowflake, BigQuery, Redshift, Databricks).

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 and analytics requirements.
• Translate business needs into scalable BI solutions.
• Develop semantic layers and data models for consistent reporting.
• Partner with data engineering to improve data quality and performance.
• Create executive dashboards and self-service analytics capabilities.
• Optimize SQL queries and Looker performance for large datasets.
• Establish BI governance, data definitions, and reporting standards.
• Conduct root cause analysis and troubleshoot reporting discrepancies.
• Mentor junior BI engineers and promote BI best practices.
• Support ad-hoc analytics and provide actionable insights.

Skills

Looker

LookML

KPI Framework Design

Education

Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field

Tools

Looker

Snowflake

BigQuery

Redshift

Databricks

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.

Technical Skills

• Looker
• LookML
• KPI Framework Design

Databases & Data Warehousing

• SQL
• Snowflake
• BigQuery
• Redshift
• Databricks
• ETL / ELT
• Data Modeling
• Data Quality Management
• Data Governance

Programming

• Python (Preferred)
• SQL

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.

Keywords:

Looker, LookML, Business Intelligence, BI Engineer, SQL, Snowflake, BigQuery, Databricks, Data Modeling, Dashboard Development, Analytics Engineering, Data Warehouse, Self-Service Analytics.