Trinus Corporation
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Los Angeles, CA, with a contract length of "unknown." The pay rate is "unknown." Requires expertise in Azure, Databricks, Python, SQL, and data governance, along with a bachelor's degree and seven years of relevant experience. Livescan is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Los Angeles, CA
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🧠 - Skills detailed
#Spark (Apache Spark) #Big Data #Azure Data Factory #Data Modeling #Azure #PySpark #Data Lake #API (Application Programming Interface) #Programming #R #Automation #Compliance #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Microsoft Power BI #Python #Terraform #BI (Business Intelligence) #Data Engineering #Security #Azure Databricks #Version Control #Schema Design #Deployment #Databricks #Storage #GitHub #Data Pipeline #Cloud #Data Governance #Classification #YAML (YAML Ain't Markup Language) #Data Lineage #Scripting #ADF (Azure Data Factory) #Tableau #Monitoring #Scala #Data Security
Role description
Role: Senior Data Engineer
Location: Los Angeles, CA
Is a Livescan Required for Position? Yes
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.
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.
Additional Education Required:
• This classification requires the possession of a bachelor’s degree in an IT-related or Engineering fie
Role: Senior Data Engineer
Location: Los Angeles, CA
Is a Livescan Required for Position? Yes
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.
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.
Additional Education Required:
• This classification requires the possession of a bachelor’s degree in an IT-related or Engineering fie
