

CornerStone Technology Talent Services
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer position in Austin, TX (Hybrid) on a long-term contract, paying $75/hr W2. Key skills include Databricks, Spark, ETL/ELT, Delta Lake, and data governance. Requires 8+ years of relevant IT experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
600
-
🗓️ - Date
July 29, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Austin, TX
-
🧠 - Skills detailed
#Dimensional Data Models #Security #Apache Spark #DevOps #Data Layers #Python #Snowflake #GIT #Cloud #Data Quality #Databricks #"ETL (Extract #Transform #Load)" #Monitoring #PySpark #Spark (Apache Spark) #Scala #Version Control #Airflow #SQL (Structured Query Language) #Data Modeling #Deployment #Data Governance #Data Engineering #Data Pipeline #Delta Lake
Role description
Senior Databricks Engineer
Location: Austin, TX (Hybrid)
Employment Type: Long-Term Contract
Pay Rate: $75/hr W2
Build Modern Enterprise Data Platforms
CornerStone Technology Talent Services is looking for an experienced Senior Databricks Engineer to help design, build, and optimize large-scale cloud data solutions for a complex enterprise environment.
If you're passionate about Databricks, Spark, cloud data engineering, and building scalable data platforms that support business-critical analytics, we'd love to hear from you.
This is an excellent opportunity to work on enterprise data initiatives using modern Lakehouse architecture, high-volume data pipelines, and cloud-based analytics.
What You'll Do
As a Senior Databricks Engineer, you will:
• Design, build, and maintain scalable data solutions using Databricks
• Develop and optimize ETL/ELT pipelines using Spark, PySpark, Python, or Scala
• Build Lakehouse solutions using Delta Lake and Medallion Architecture (Bronze, Silver, Gold)
• Create reliable production data pipelines using Lakeflow Pipelines (formerly Delta Live Tables)
• Schedule and manage production workloads using Lakeflow Jobs, Databricks Workflows, Airflow, or similar orchestration tools
• Design dimensional data models for reporting and analytics
• Develop Databricks SQL dashboards and analytical applications
• Ensure data quality, governance, security, and performance across the platform
• Tune Spark workloads for speed, scalability, and cost optimization
• Work closely with business users, architects, analysts, and engineering teams to deliver data-driven solutions
• Support production systems, troubleshoot issues, and continuously improve platform performance
• Participate in source control, CI/CD, testing, and deployment best practices
Required Qualifications
We're looking for someone with strong enterprise-level Databricks experience, including:
• 8+ years of overall IT experience
• 8+ years building data solutions with Databricks
• Strong experience with:
• Apache Spark
• PySpark
• Python or Scala
• SQL
• Experience building large-scale ETL/ELT pipelines
• Experience with Delta Lake and Lakehouse Architecture
• Experience implementing Bronze, Silver, and Gold data layers
• Experience building production pipelines using Lakeflow Pipelines (Delta Live Tables)
• Experience scheduling and managing production jobs using Databricks Workflows, Airflow, or similar tools
• Strong background in data warehousing and dimensional data modeling (Star & Snowflake schemas)
• Experience implementing data governance, security, validation, and monitoring
• Excellent communication skills and ability to work directly with technical and business stakeholders
• Ability to work independently in a hybrid Austin, TX environment
Nice to Have
• Databricks Data Engineer Certification
• CI/CD experience for data engineering projects
• Git version control
• DevOps experience supporting Databricks environments
• Experience working in highly regulated industries such as healthcare, government, finance, or enterprise organizations
Why Join CornerStone Technology Talent Services?
At CornerStone Technology Talent Services, we connect experienced technology professionals with exciting enterprise opportunities that make an impact.
Our recruiting team understands today's cloud technologies, data engineering platforms, and enterprise analytics, allowing us to match talented professionals with opportunities where they can succeed.
For more than 30 years, CornerStone Staffing has helped technology professionals build rewarding careers through trusted partnerships and exceptional service.
Senior Databricks Engineer
Location: Austin, TX (Hybrid)
Employment Type: Long-Term Contract
Pay Rate: $75/hr W2
Build Modern Enterprise Data Platforms
CornerStone Technology Talent Services is looking for an experienced Senior Databricks Engineer to help design, build, and optimize large-scale cloud data solutions for a complex enterprise environment.
If you're passionate about Databricks, Spark, cloud data engineering, and building scalable data platforms that support business-critical analytics, we'd love to hear from you.
This is an excellent opportunity to work on enterprise data initiatives using modern Lakehouse architecture, high-volume data pipelines, and cloud-based analytics.
What You'll Do
As a Senior Databricks Engineer, you will:
• Design, build, and maintain scalable data solutions using Databricks
• Develop and optimize ETL/ELT pipelines using Spark, PySpark, Python, or Scala
• Build Lakehouse solutions using Delta Lake and Medallion Architecture (Bronze, Silver, Gold)
• Create reliable production data pipelines using Lakeflow Pipelines (formerly Delta Live Tables)
• Schedule and manage production workloads using Lakeflow Jobs, Databricks Workflows, Airflow, or similar orchestration tools
• Design dimensional data models for reporting and analytics
• Develop Databricks SQL dashboards and analytical applications
• Ensure data quality, governance, security, and performance across the platform
• Tune Spark workloads for speed, scalability, and cost optimization
• Work closely with business users, architects, analysts, and engineering teams to deliver data-driven solutions
• Support production systems, troubleshoot issues, and continuously improve platform performance
• Participate in source control, CI/CD, testing, and deployment best practices
Required Qualifications
We're looking for someone with strong enterprise-level Databricks experience, including:
• 8+ years of overall IT experience
• 8+ years building data solutions with Databricks
• Strong experience with:
• Apache Spark
• PySpark
• Python or Scala
• SQL
• Experience building large-scale ETL/ELT pipelines
• Experience with Delta Lake and Lakehouse Architecture
• Experience implementing Bronze, Silver, and Gold data layers
• Experience building production pipelines using Lakeflow Pipelines (Delta Live Tables)
• Experience scheduling and managing production jobs using Databricks Workflows, Airflow, or similar tools
• Strong background in data warehousing and dimensional data modeling (Star & Snowflake schemas)
• Experience implementing data governance, security, validation, and monitoring
• Excellent communication skills and ability to work directly with technical and business stakeholders
• Ability to work independently in a hybrid Austin, TX environment
Nice to Have
• Databricks Data Engineer Certification
• CI/CD experience for data engineering projects
• Git version control
• DevOps experience supporting Databricks environments
• Experience working in highly regulated industries such as healthcare, government, finance, or enterprise organizations
Why Join CornerStone Technology Talent Services?
At CornerStone Technology Talent Services, we connect experienced technology professionals with exciting enterprise opportunities that make an impact.
Our recruiting team understands today's cloud technologies, data engineering platforms, and enterprise analytics, allowing us to match talented professionals with opportunities where they can succeed.
For more than 30 years, CornerStone Staffing has helped technology professionals build rewarding careers through trusted partnerships and exceptional service.






