Senior Data Engineer

In Los Angeles, The Norland Group is seeking a Senior Data Engineer for a one-year, on-site contract. You will help design and operate scalable data platforms on Azure, leverage Databricks, and implement API management and data governance to support enterprise analytics. The role includes hands-on delivery and leadership across data pipelines, infrastructure deployment, and cloud-based data assets, with a standard 40-hour work week.

Details

• Location: Los Angeles, CA (onsite)
• Employment type: Contract
• Duration: 1 year
• Salary: USD 65 - 90 per hour
• Hours: 40 per week

Requirements

• Cloud Platforms: Azure ecosystem including Azure Data Factory, Data Lake Storage, Blob Storage, Power Apps, and Functions; API management with Apigee; Databricks; Spark; PySpark; Scala; SQL
• Data Engineering Fundamentals: ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing
• Programming Languages: Strong Python and SQL skills; knowledge of Scala or R is beneficial
• Data Warehousing and BI: ERD concepts and designs; OLAP/OLTP understanding; performance tuning; database concepts; BI tools such as Power BI and Tableau
• Data Governance: RBAC/ABAC, data lineage, data leak prevention, data security, and compliance; audit and monitoring in cloud environments
• Infrastructure Deployment: GitHub version control, CI/CD pipelines, release management; Terraform and YAML templates; script-based deployments
• Experience: Seven plus years applying Enterprise Architecture principles, with at least five years in a lead capacity
• Azure Experience: Five years of hands-on work with Azure Data Factory, Azure Databricks, API implementation and management, and managing Azure resources
• Data Modeling and Pipelines: Five+ years developing data models and pipelines using Python; experience with Lakehouse platforms; GitHub CI/CD; Terraform scripting; data warehousing (OLAP/OLTP); BI tool integration; designing, developing, and deploying AI/ML and predictive analytics solutions using Databricks, Apache Spark, MLflow, and Delta Lake on cloud platforms like AWS or Azure
• Education: Bachelor's degree in computer science or a related IT field

Technologies

• Azure Data Factory
• Azure Data Lake Storage
• Blob Storage
• Power Apps
• Azure Functions
• Apigee
• Databricks
• Spark
• PySpark
• Scala
• SQL
• Python
• R
• Power BI
• Tableau
• GitHub
• CI/CD
• Terraform
• YAML
• MLflow
• Delta Lake
• AWS