Data Engineer - Azure & Microsoft Fabric Platform
Cranberry Township, Pennsylvania, United States
USD 119K-258K (estimate) Mid-level Full Time
Tasks
- Build lakehouse transformations
- Deliver Power BI dashboards
- Design data pipelines
- Develop PySpark jobs
- Develop batch and streaming ingestion
- Enforce data governance standards
- Implement CI/CD workflows
- Maintain data lake storage
- Model semantic datasets
- Monitor pipeline reliability
- Orchestrate data workflows
Perks/Benefits
- 401-k match
- Continuing education support
- Disability coverage
- Health, dental, vision coverage
- Hybrid work schedule
- Life insurance
- Long-term disability
- Paid Holidays
- Paid time off
- Parental leave
Skills/Tech-stack
ANSI SQL | Apache Airflow | Apache Kafka | Apache Spark | Apache Spark Structured Streaming | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Event | Azure Event Hubs | Azure OpenAI | Azure Resource | Azure Resource Manager | Azure Stream | Azure Stream Analytics | Azure Synapse | Azure Synapse Analytics | Copilot | DBT | Data Factory | Data Lake Storage Gen2 | Delta Lake | Docker | Event Hubs | Managed Apache Airflow | Microsoft Azure | Microsoft Fabric | Power BI | PySpark | Python | REST APIs | Resource manager | Row Level Security | Semantic layer | Semantic layer design | Snowflake Schema | Spark Structured Streaming | Star Schema | Stream Analytics | Structured Streaming | Synapse Analytics | T-SQL | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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