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Senior Data EngineerJRD Systems • United States
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Senior Data Engineer

JRD Systems
  • US
    United States
  • US
    United States
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Über

Sector Los Angeles County Contractor's Work Location CEO-Chief Executive Office Position Title Senior Data Engineer Labor Category Information Technology Job Category Miscellaneous/Niche/Other Number of Positions 1 Job Level 1 Submittal allowed per staffing agency 2 Priority Submittals allowed for this Requisition 50 Assignment Type Temporary Is a Livescan Required for Position? Yes Is this role located on-site, hybrid, or remote? Onsite Work Location Address 500 W. Temple St., Rm. 713, Los Angeles, CA, 90012 Assignment Details Target Start Date 02/16/2026 Target End Date 02/15/2027 Shift Standard Work Schedule Standard Tentative Shift Start Time 8:00 Tentative Shift End Time 4:30 Staffing Agency NTE (Not-to-Exceed) Bill Rate $ 114.26 Rate Unit Hour Estimated Regular Hours/Week 40.00 Travel Required No Estimated OT Hours/Week Travel % Travel Description(Domestic/International) Security Clearance None Position Details Background Checks Yes Position Description Miscellaneous/Niche/Other Skills Required Miscellaneous/Niche/Other Additional Skills Required Cloud Platforms: Deep understanding of Azure ecosystem, including Azure Data Factory, Data Lake Storage, Blob Storage, power apps, and Functions. Additionally, in-depth understanding and implementation of API management such as Apigee. Big Data Technologies: Proficiency in Databricks, Spark, PySpark, Scala, and SQL. Data Engineering Fundamentals: Expertise in ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing. Programming Languages: Strong Python and SQL skills, with knowledge of other languages like Scala or R beneficial. Data Warehousing and Business Intelligence: Strong ERD concepts, designs, and patterns, Understanding of OLAP/OLTP systems, performance tuning, Database Server concepts, and BI tools (Power BI, Tableau). Data Governance: Strong understanding of RBAC/ABAC, Data Lineage, Data leak prevention, Data security, and compliance. Deep understanding and implementation knowledge of audit and monitoring in Cloud. Infrastructure Deployment: GitHub version control, CI/CD pipelines, release management, Terraform and YAML templates, and script-based deployments. Experience Required Miscellaneous/ Niche/ Other Additional Experience Required Seven (7) years of applying Enterprise Architecture principles, with at least five (5) years in a lead capacity. Five (5) years of hands-on experience with Azure Data Factory, Azure Databricks, API implementation and management solution, and managing Azure resources. Five (5) years of experience in the following: developing data models and pipelines using Python; working with Lakehouse platforms; GitHub CI/CD pipelines and infrastructure automation, Terraform scripting; and with data warehousing systems, OLAP/OLTP systems, and integration of BI tools. Education Required Miscellaneous/ Niche/ Other Additional Education Required This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional Information
  • United States

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