BI Engineer / Data Analytics Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a BI Engineer / Data Analytics Engineer with a contract to hire duration, paying $45/hr W2. Located in Calabasas, CA, it requires 3–6 years of BI experience, strong SQL skills, and proficiency in Tableau.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
360
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🗓️ - Date discovered
September 10, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Calabasas, CA
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🧠 - Skills detailed
#Airflow #ADF (Azure Data Factory) #Metadata #SSIS (SQL Server Integration Services) #Snowflake #Oracle #Synapse #Python #Automation #"ETL (Extract #Transform #Load)" #R #Data Governance #Code Reviews #Azure #Collibra #Alation #Azure Data Factory #GitHub #SQL (Structured Query Language) #Azure Synapse Analytics #Microsoft Power BI #dbt (data build tool) #SQL Server #Tableau #GIT #BI (Business Intelligence)
Role description
Role: Data Analytics Engineer Rate: $45/hr W2 Salary: $70,000 Duration: Contract to hire Interview Process: 2 Video Interviews Work Status: Green Card or US Citizen Client Location: Calabasas, CA It will be hybrid 4 days a week on-site and 1 day remote. Qualifications Required • 3–6 years in a BI Engineer / Data Analytics Engineer role (or similar). • Strong SQL development across Snowflake, Oracle, SQL Server. • Hands-on BI development experience in Tableau (required) and Power BI (strongly preferred). • Proven ability to design data models, semantic layers, and governed KPI frameworks. • Experience applying data governance, validation, and testing practices. • Familiarity with Git/GitHub workflows, CI/CD pipelines, and code reviews. • Excellent communication skills for working directly with business leaders and technical teams. Preferred • Experience with dbt or other transformation frameworks. • Familiarity with Azure Synapse Analytics or Microsoft Fabric Gen 2. • Exposure to ETL/ELT orchestration (Airflow, SSIS, Azure Data Factory). • Working knowledge of Python or R for automation or lightweight transformations. • Experience with metadata/catalog tools (Alation, Collibra, Purview, DataHub). • Domain experience in hospitality, travel, finance, or consumer industries.