Analytics Engineer: Databricks, dbt & Tableau

Slalom; San Diego (CA); On-site; USD 83,000 - 124,000; Full time

Job summary

Slalom in San Diego is seeking a data analytics professional to design, build, and optimize analytics datasets in Databricks, using SQL and dbt to support executive Tableau reporting. You will develop Tableau-ready models and ensure data quality and usability for business reporting.

Collaborating with stakeholders, you will map reporting requirements, validate data definitions, and handle Excel-based data ingestion into Databricks for downstream transformation and reporting.

Qualifications

• 3+ years of building data reports, primarily for senior leaders/executives.
• Experience building reports in databricks using SQL and dbt.
• Experience building reports in Tableau.
• Strong communication; ability to partner with stakeholders to understand reporting requirements.
• Proficiency with Microsoft Office, specifically MS Excel.

Responsibilities

• Design, build, and optimize curated analytics datasets in Databricks using SQL and dbt to support executive and operational Tableau reporting.
• Develop and maintain Tableau-ready fact and dimension models, ensuring data is structured for reporting accuracy, performance, refresh requirements, and business usability in Tableau.
• Partner with business and client stakeholders to understand reporting requirements, validate data definitions, map business logic, and resolve data quality issues.
• Implement and support a limited number of ingestion processes from Excel-based source data into Databricks for downstream transformation and reporting.

Skills

Databricks

SQL

dbt

Tableau

Excel

Tools

Databricks

dbt

Tableau

Job description

Slalom in San Diego is seeking a data analytics professional to design, build, and optimize analytics datasets in Databricks, using SQL and dbt to support executive Tableau reporting. You will develop Tableau-ready models and ensure data quality and usability for business reporting.

Collaborating with stakeholders, you will map reporting requirements, validate data definitions, and handle Excel-based data ingestion into Databricks for downstream transformation and reporting.