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Temporary Databricks Data Engineer Jobs in Dripping Springs, TX

IT America Inc

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Databricks Data Engineer Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term Contract Key Skills: Looking for a Senior Databricks Data Engineer ...

Deloitte

Sr Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

1 point system

Databricks Engineer

Austin, TX · On-site

Experience in data warehousing and dimensional data modeling (star/snowflake schemas). Proficiency ... Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional)

Pwc

Data Engineer - Senior Manager

Austin, TX

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

IBM

Associate Data Engineer 2027

Austin, TX · On-site

$113K - $136K/yr

SnowProCore, Databricks Data Engineer Associate, Google Associate Cloud Engineer or Data Engineer coursework. * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation ...

Dlapiper

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

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All JobsDatabricks Data Engineer JobsTemporary Databricks Data Engineer JobsTemporary Databricks Data Engineer Jobs in Dripping Springs, TX

Temporary Databricks Data Engineer information

See Dripping Springs, TX salary details

$47.2K

$137.7K

$188.4K

How much do temporary databricks data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for temporary databricks data engineer in Dripping Springs, TX is $137,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $145,900.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What cities near Dripping Springs, TX are hiring for Temporary Databricks Data Engineer jobs?

Cities near Dripping Springs, TX with the most Temporary Databricks Data Engineer job openings:

Temporary Databricks Data Engineer jobs near you

Databricks Data Engineer

Austin, TX • On-site

IT America Inc
Software Development • 201 - 500 employees
Learn more about IT America Incexternal

$113K - $136K/yr

Contractor

Posted 20 days ago

Job description

Position: Databricks Data Engineer

Location: Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) 

Duration: Long-Term Contract

Key Skills: Looking for a Senior Databricks Data Engineer with SQL Server + SSIS + DW modernization experience, and ideally GenAI/LLM/Agent experience

Responsibilities & Skills:

  • 12yrs of Data Engineer and IT exp is mandatory
  • Design and implement enterprise scale solutions on the Databricks Lakehouse Platform.
  • Architect end to end data pipelines for batch and real time processing using Apache Spark and PySpark.
  • Develop scalable data ingestion, transformation, and data quality frameworks.
  • Design and implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake.
  • Build and optimize data warehouses, data marts, and analytical solutions.
  • Implement data governance, security, lineage, and access controls using Unity Catalog.
  • Develop and support AI/BI dashboards, semantic models, and self-service analytics solutions.
  • Configure and optimize Genie Spaces to enable natural language business queries and conversational analytics.
  • Design and deploy Generative AI and RAG based solutions using Databricks Mosaic AI and Vector Search.
  • Collaborate with business users to translate requirements into scalable data and AI solutions.
  • Optimize Databricks workloads for performance, scalability, reliability, and cost efficiency.
  • Lead cloud native implementations across  Azure environments.
  • Define architecture standards, best practices, and reusable design patterns.
  • Mentor data engineers, analysts, and architects on Databricks technologies and platform adoption.
  • Lead migration initiatives from legacy data warehouses and analytics platforms to Databricks.
  • Build and maintain Genie Spaces for business self-service analytics.
  • Create semantic models, metrics, and trusted data assets for AI driven reporting.
  • Develop natural language to SQL analytics solutions using Databricks Genie.
  • Implement RAG solutions using enterprise data and Vector Search.
  • Optimize AI/BI dashboards and conversational analytics experiences.
  • Troubleshoot Spark performance, query optimization, and workload management.
  • Automate data validation, monitoring, and governance controls.
  • Support AI use cases using Mosaic AI model serving and inference endpoints.

Technical Skills:

  • Databricks Lakehouse Platform
  • Apache Spark, PySpark, Spark SQL
  • Python, SQL
  • Delta Lake, Delta Live Tables, Lakeflow
  • Unity Catalog
  • Databricks AI/BI and Genie
  • Mosaic AI, Vector Search, RAG
  • Data Modeling (Dimensional & Data Vault)
  • Structured Streaming
  • Data Quality and Data Governance
  • Azure
  • Terraform, Git, Azure DevOps, Jenkins
  • REST APIs and Data Integration
  • Performance Tuning and Cost Optimization