BrickRed Systems
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 8+ years of experience, specializing in Python, SQL, Azure, Databricks, Spark, and Snowflake. Contract length is unspecified, with a competitive pay rate. Strong AI/ML platform experience and data architecture knowledge required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Frisco, TX
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🧠 - Skills detailed
#NoSQL #Databases #Data Governance #Snowflake #Data Pipeline #Scala #Data Lake #ADF (Azure Data Factory) #Consulting #REST API #ML (Machine Learning) #Azure #Databricks #PySpark #dbt (data build tool) #Data Engineering #Leadership #"ETL (Extract #Transform #Load)" #Python #Data Architecture #Data Modeling #Data Warehouse #SQL (Structured Query Language) #REST (Representational State Transfer) #Azure Databricks #Data Processing #Cloud #Strategy #Batch #Apache Spark #AI (Artificial Intelligence) #Spark SQL #Spark (Apache Spark)
Role description
We are seeking an experienced Senior Data Engineer with AI/ML expertise to design, develop, and optimize enterprise-scale data platforms and AI-powered data engineering solutions. The ideal candidate will have strong experience in Python, SQL, Azure, Databricks, Spark, Snowflake, and modern cloud-based data architectures. This role requires hands-on development, technical leadership, and collaboration with cross-functional teams to build scalable, high-performance data pipelines supporting analytics, AI, and Customer Data Platform (CDP) initiatives.
Required Experience
• 8+ years of Data Engineering experience
• Strong expertise in Python, SQL, Azure, Databricks, Spark, and Snowflake
• Experience building AI/ML-enabled data platforms
• Strong understanding of cloud-based data architecture and modern data engineering practices
Must-Have Skills
• Python & SQL
• Azure (ADF, Data Lake, Event Hub, Functions, Cosmos DB)
• Databricks (PySpark, Spark SQL, Scala Spark)
• Apache Spark
• Snowflake
• dbt
• REST APIs
• Data Warehousing
• AI/ML Integration
• Streaming Data Pipelines
• CDP (Customer Data Platform)
• SQL & NoSQL Databases
• Data Modeling
• Performance Optimization
• Data Governance (Unity Catalog)
Key Responsibilities
• Design, build, and optimize scalable batch and real-time data pipelines.
• Develop enterprise-grade data platforms across cloud and hybrid environments.
• Build high-performance APIs and data services supporting AI and analytics workloads.
• Develop large-scale data processing solutions using Databricks and Spark.
• Implement AI-enabled data engineering solutions, including AI-assisted development workflows.
• Build and optimize Snowflake data warehouses and Azure-based data solutions.
• Collaborate with architects, analytics teams, and business stakeholders to deliver scalable data solutions.
• Mentor junior engineers and drive engineering best practices.
• Perform performance tuning, root cause analysis, and production support
ABOUT BRICKRED SYSTEMS
BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers
We are seeking an experienced Senior Data Engineer with AI/ML expertise to design, develop, and optimize enterprise-scale data platforms and AI-powered data engineering solutions. The ideal candidate will have strong experience in Python, SQL, Azure, Databricks, Spark, Snowflake, and modern cloud-based data architectures. This role requires hands-on development, technical leadership, and collaboration with cross-functional teams to build scalable, high-performance data pipelines supporting analytics, AI, and Customer Data Platform (CDP) initiatives.
Required Experience
• 8+ years of Data Engineering experience
• Strong expertise in Python, SQL, Azure, Databricks, Spark, and Snowflake
• Experience building AI/ML-enabled data platforms
• Strong understanding of cloud-based data architecture and modern data engineering practices
Must-Have Skills
• Python & SQL
• Azure (ADF, Data Lake, Event Hub, Functions, Cosmos DB)
• Databricks (PySpark, Spark SQL, Scala Spark)
• Apache Spark
• Snowflake
• dbt
• REST APIs
• Data Warehousing
• AI/ML Integration
• Streaming Data Pipelines
• CDP (Customer Data Platform)
• SQL & NoSQL Databases
• Data Modeling
• Performance Optimization
• Data Governance (Unity Catalog)
Key Responsibilities
• Design, build, and optimize scalable batch and real-time data pipelines.
• Develop enterprise-grade data platforms across cloud and hybrid environments.
• Build high-performance APIs and data services supporting AI and analytics workloads.
• Develop large-scale data processing solutions using Databricks and Spark.
• Implement AI-enabled data engineering solutions, including AI-assisted development workflows.
• Build and optimize Snowflake data warehouses and Azure-based data solutions.
• Collaborate with architects, analytics teams, and business stakeholders to deliver scalable data solutions.
• Mentor junior engineers and drive engineering best practices.
• Perform performance tuning, root cause analysis, and production support
ABOUT BRICKRED SYSTEMS
BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers
