Bizoforce Hiring – Data Engineer (Azure Databricks & ADF) – Washington DC, USA

Bizoforce is hiring an experienced Data Engineer with strong expertise in Azure Databricks, Spark, and modern data engineering practices to build scalable and high-performance data pipelines. The ideal candidate will have hands-on experience in designing data workflows, implementing transformations, and supporting analytics and AI/ML use cases. This role is best suited for professionals who can combine data engineering, cloud technologies, and analytics engineering in an enterprise environment.

Experience
Level: Senior Engineer
Experience Required: 8–10 Years

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks and Apache Spark
• Implement complex data transformations using Spark SQL and Python
• Build and manage analytics models using DBT Core / DBT Cloud
• Develop and orchestrate workflows using Azure Data Factory
• Ensure data quality, reliability, and performance across pipelines
• Integrate data platforms with reporting, analytics, and AI/ML systems
• Collaborate with cross-functional teams to translate business requirements
• Implement CI/CD pipelines using Azure DevOps
• Apply data governance, security, and compliance standards
• Participate in design reviews, code reviews, and knowledge sharing

Required Skills

• Azure Databricks
• Apache Spark & Spark SQL
• Python
• DBT (Core / Cloud)
• Azure Data Factory (ADF)
• Azure DevOps (CI/CD)
• Data Warehousing & ETL/ELT

Preferred Skills

• Databricks Certification (Associate / Professional)
• Azure Data Ecosystem (ADLS Gen2, Azure SQL, Synapse)
• Google Vertex AI (Good to have)
• Data Governance & Security Frameworks
• Performance Tuning & Cost Optimization
• Experience with AI/ML workloads

Assignment Details

• Role: Data Engineer
• Primary Skill: Azure Databricks & ADF
• Location: Washington DC, USA (Onsite)
• Employment Type: Sub Contract / Full-Time
• Open Positions: Multiple