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Permanent Catalog Analyst Jobs (NOW HIRING)

Databricks Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Austin, TX (Preferred Locals to Austin, TX and Permanent residents of USA) Duration: Long-Term ... Catalog. * Develop and support AI/BI dashboards, semantic models, and self-service analytics ...

JPL has a catalog of benefits and perks that span from the traditional to the unique. This includes ... S. Citizens, Legal Permanent Residents of the U.S or have other protected status under 8 U.S.C ...

... Catalog Permissions- Define Users, Roles and Access Levels Create and Manage Workflow Explore ... This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card Holder, TN ...

... Catalog Permissions- Define Users, Roles and Access Levels Create and Manage Workflow Explore ... This is a Full-Time Permanent job opportunity for you. * Only US Citizen, Green Card Holder, TN ...

$98 - $163/hr

... catalog structures to support transparent and equitable cost recovery. Support billing and ... Must be US Citizen or US Permanent Resident due to nature of client engagement. * Bachelor's degree ...

$38.75 - $50.75/hr

Remote Opportunity Candidates must have permanent authorization to work in the United States. Visa ... Analyze application logs, API transactions, SQL/FlexibleSearch queries, data anomalies ...

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How much do permanent catalog analyst jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for permanent catalog analyst in the United States is $30.38, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $36.06 per hour, depending on experience, location, and employer.
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Infographic showing various Permanent Catalog Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $63,187 per year, or $30.4 per hour.

Databricks Data Engineer

IT America Inc

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted 17 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