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Urgently Hiring Databricks Data Engineer Jobs in Austin, 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

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance ...

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

Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ... The firm's expected hiring range for this position is $100,787 - $160,255 depending on the ...

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All JobsUrgently Hiring Databricks Data Engineer JobsUrgently Hiring Databricks Data Engineer Jobs in Austin, TX

Urgently Hiring Databricks Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do urgently hiring databricks data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for urgently hiring databricks data engineer in Austin, TX is $128,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What does a Databricks Data Engineer do?

An Urgently Hiring Databricks Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures using the Databricks platform. They work with large datasets, ensure data quality, and optimize data workflows to support analytics and business intelligence. Their role often involves collaborating with data scientists, analysts, and other stakeholders to ensure efficient data processing and storage solutions in a cloud environment. Because the position is urgently hiring, candidates are expected to have strong technical skills in Spark, Python or Scala, and experience with cloud services such as AWS, Azure, or Google Cloud.

What are the key skills and qualifications needed to thrive as a Databricks Data Engineer?

To thrive as a Databricks Data Engineer, you need strong proficiency in data engineering concepts, Python or Scala programming, and experience with big data processing frameworks, typically supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and relevant certifications such as Databricks Certified Data Engineer Associate are highly valued. Excellent problem-solving skills, collaboration, and effective communication set candidates apart in this fast-paced environment. These skills and qualifications are crucial for efficiently building scalable data pipelines, ensuring data integrity, and enabling business insights.

What are some common challenges faced by Databricks Data Engineers when onboarding to a new project, and how can they be addressed?

Databricks Data Engineers often encounter challenges such as adapting to a new team's data architecture, understanding existing ETL pipelines, and ensuring data quality within the Databricks environment. Successfully onboarding involves quickly familiarizing yourself with the team's coding standards, data governance policies, and collaboration tools. Proactively communicating with team members, documenting findings, and participating in code reviews can help bridge knowledge gaps and streamline integration into the workflow.

What is the difference between Urgently Hiring Databricks Data Engineer vs Data Scientist?

AspectDatabricks Data EngineerData Scientist
Required SkillsApache Spark, SQL, ETL, Databricks platformStatistics, Machine Learning, Python/R
Work EnvironmentData pipelines, cloud platforms, big data toolsData analysis, modeling, visualization
CertificationsDatabricks certifications, cloud platform credentialsNone specific, often advanced degrees

Urgently Hiring Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and big data tools, while Data Scientists analyze data to generate insights and models. Both roles require technical expertise but differ in their core responsibilities and skill sets.

What are the most commonly searched types of Databricks Data Engineer jobs in Austin, TX?

The most popular types of Databricks Data Engineer jobs in Austin, TX are:

What are popular job titles related to Urgently Hiring Databricks Data Engineer jobs in Austin, TX?

For Urgently Hiring Databricks Data Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Urgently Hiring Databricks Data Engineer jobs in Austin, TX look for?

The top searched job categories for Urgently Hiring Databricks Data Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Urgently Hiring Databricks Data Engineer jobs?

Cities near Austin, TX with the most Urgently Hiring Databricks Data Engineer job openings:

Urgently Hiring Databricks Data Engineer jobs near you
Infographic showing various Urgently Hiring Databricks Data Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Databricks Data Engineer

IT America Inc

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted 19 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