Data Engineer

Responsibilities

• Design, develop, schedule, and monitor batch and near-real-time data pipelines using Azure Data Factory (ADF)
• Manage Azure Blob Storage, including containers, access tiers, lifecycle policies, and data partitioning
• Design and optimize Azure SQL databases, including schema design, indexing, query optimization, and performance tuning
• Develop dimensional data models using star and snowflake schemas, 3NF, and Data Vault 2.0 concepts
• Implement data quality, validation, governance, lineage, and schema evolution standards
• Optimize pipeline performance, implement monitoring and alerting, and troubleshoot production issues
• Collaborate with analytics, product, and operations teams to deliver secure, reliable, and well-documented data products
• Apply security best practices, including RBAC, encryption, data masking, and key management
• Develop reusable components and follow best practices for data engineering and CI/CD

Preferred

• Experience with Azure Synapse Analytics and large-scale ETL/ELT processing
• Familiarity with Microsoft Fabric, Lakehouse, OneLake, and data pipelines
• Power BI semantic modeling, DAX, and incremental refresh experience
• Knowledge of Event Hubs, Azure Functions, Databricks, or Spark Structured Streaming
• Experience with Terraform, Bicep, or ARM templates
• Familiarity with Microsoft Purview or similar data cataloging and lineage tools

Benefits

• Hybrid work arrangement in Washington, DC.
• Dice is the go-to career marketplace for tech professionals.
• Centennial, Colorado, USA
• https://www.or-quest.nl/
• Growth Stage
• Leadership Team
• Daniel Hinck
• Client Success Partner
• Kalyn Thorne
• Client Success Partner - Enterprise
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Qualifications

• Bachelor's degree with 5 years of experience, or 4 years of experience in lieu of a degree
• Ability to obtain and maintain a Public Trust clearance, requiring U.S. citizenship
• Strong hands-on experience with Azure Data Factory, Azure Blob Storage, and Azure SQL
• Knowledge of star/snowflake schemas, 3NF, Data Vault, and Kimball vs. Inmon data warehousing methodologies
• Proficiency in SQL and data formats such as JSON, Parquet, CSV, and Avro
• Experience with Python (preferred)
• or Scala for data transformations and automation
• Experience with Git-based workflows and Azure DevOps or equivalent CI/CD tools
• Experience monitoring, troubleshooting, and maintaining production data pipelines
• Or Scala for data transformations and automation
• Experience with Azure Synapse Analytics and large-scale ETL/ELT processing
• Familiarity with Microsoft Fabric, Lakehouse, OneLake, and data pipelines
• Power BI semantic modeling, DAX, and incremental refresh experience
• Knowledge of Event Hubs, Azure Functions, Databricks, or Spark Structured Streaming
• Experience with Terraform, Bicep, or ARM templates
• Familiarity with Microsoft Purview or similar data cataloging and lineage tools
• Bachelor's degree with 5 years of experience, or 4 years of experience in lieu of a degree.

Required skills

• Azure Blob Storage, Azure Data Factory, Azure DevOps, Azure SQL, Data Modeling, Data Warehousing Methodologies, Git, JSON, Parquet, CSV, and Avro, Public Trust Clearance, Python, SQL, Scala

Preferred skills

• Experience with Terraform, Bicep, or ARM templates

Experience

• 4+ years