BrickRed Systems
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Frisco, TX, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Snowflake, Databricks, Python/PySpark, and finance data experience. FAANG experience is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
August 20, 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
Frisco, TX
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🧠 - Skills detailed
#Spark (Apache Spark) #Quality Assurance #Azure DevOps #Scala #"ETL (Extract #Transform #Load)" #Monitoring #Python #Databricks #ADF (Azure Data Factory) #Compliance #Data Ingestion #PySpark #Security #GIT #Azure #dbt (data build tool) #Kafka (Apache Kafka) #DevOps #BI (Business Intelligence) #Observability #Azure Data Factory #Snowflake #Data Quality #Data Engineering #AWS (Amazon Web Services) #Leadership #Batch #Spark SQL #Cloud #GitHub #Consulting #Data Pipeline #SQL (Structured Query Language) #Data Management #Airflow #Data Lineage #Deployment #Terraform #AI (Artificial Intelligence)
Role description
We are seeking a Senior Data Engineer / Technical Lead to architect and lead enterprise-scale finance and revenue data solutions.
The ideal candidate will have strong experience with Snowflake, Databricks, Python/PySpark, SQL, Azure/cloud, streaming, CI/CD, data quality, and finance/revenue data.
Location & Experience
• Frisco, TX – 100% onsite
• Relocation candidates may be considered.
• FAANG experience is mandatory: Meta, Amazon, Apple, Netflix, or Google.
• Tier-1 product-based company experience may also be considered.
Key Responsibilities
• Architect and lead scalable ETL/ELT data pipelines for finance, billing, revenue, GL, and OPEX data.
• Design batch, incremental, CDC, and real-time data ingestion solutions.
• Lead Snowflake, Databricks, dbt, Airflow/ADF architecture and best practices.
• Develop cloud-native data platforms using Azure/AWS, including infrastructure-as-code.
• Build real-time solutions using Kafka/Event Hub and Spark Structured Streaming.
• Establish data quality, testing, observability, monitoring, and governance standards.
• Implement enterprise data models, SCD strategies, partitioning, and performance optimization.
• Define CI/CD, Git, Azure DevOps/GitHub Actions, and deployment standards.
• Ensure security, RBAC, PII/CPNI compliance, data lineage, and auditability.
• Provide technical leadership, mentor engineers, conduct code/design reviews, and collaborate with business stakeholders.
Required Skills
Technical:
• Snowflake & Databricks
• Python / PySpark
• Advanced SQL
• Azure / Cloud
• Kafka / Event Hub
• Spark / Streaming
• Airflow / Azure Data Factory
• dbt
• CI/CD
• Terraform / Bicep
• Data Quality & Governance
ABOUT BRICKRED SYSTEMS
BrickRed Systems is a technology consulting and workforce solutions company focused on helping organizations improve business efficiency and technology performance. The company provides services across technology consulting, data services, AI, cloud solutions, engineering, business intelligence, quality assurance, and IT operations.BrickRed also provides contingent workforce, hybrid talent, and managed workforce solutions, supporting organizations with skilled professionals across onshore, nearshore, and offshore delivery models.With expertise across data management, analytics, cloud solutions, engineering, and digital transformation, BrickRed Systems helps clients solve complex technology and workforce challenges while enabling scalable and efficient business operations.
We are seeking a Senior Data Engineer / Technical Lead to architect and lead enterprise-scale finance and revenue data solutions.
The ideal candidate will have strong experience with Snowflake, Databricks, Python/PySpark, SQL, Azure/cloud, streaming, CI/CD, data quality, and finance/revenue data.
Location & Experience
• Frisco, TX – 100% onsite
• Relocation candidates may be considered.
• FAANG experience is mandatory: Meta, Amazon, Apple, Netflix, or Google.
• Tier-1 product-based company experience may also be considered.
Key Responsibilities
• Architect and lead scalable ETL/ELT data pipelines for finance, billing, revenue, GL, and OPEX data.
• Design batch, incremental, CDC, and real-time data ingestion solutions.
• Lead Snowflake, Databricks, dbt, Airflow/ADF architecture and best practices.
• Develop cloud-native data platforms using Azure/AWS, including infrastructure-as-code.
• Build real-time solutions using Kafka/Event Hub and Spark Structured Streaming.
• Establish data quality, testing, observability, monitoring, and governance standards.
• Implement enterprise data models, SCD strategies, partitioning, and performance optimization.
• Define CI/CD, Git, Azure DevOps/GitHub Actions, and deployment standards.
• Ensure security, RBAC, PII/CPNI compliance, data lineage, and auditability.
• Provide technical leadership, mentor engineers, conduct code/design reviews, and collaborate with business stakeholders.
Required Skills
Technical:
• Snowflake & Databricks
• Python / PySpark
• Advanced SQL
• Azure / Cloud
• Kafka / Event Hub
• Spark / Streaming
• Airflow / Azure Data Factory
• dbt
• CI/CD
• Terraform / Bicep
• Data Quality & Governance
ABOUT BRICKRED SYSTEMS
BrickRed Systems is a technology consulting and workforce solutions company focused on helping organizations improve business efficiency and technology performance. The company provides services across technology consulting, data services, AI, cloud solutions, engineering, business intelligence, quality assurance, and IT operations.BrickRed also provides contingent workforce, hybrid talent, and managed workforce solutions, supporting organizations with skilled professionals across onshore, nearshore, and offshore delivery models.With expertise across data management, analytics, cloud solutions, engineering, and digital transformation, BrickRed Systems helps clients solve complex technology and workforce challenges while enabling scalable and efficient business operations.
