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Austin, TX · On-site
$113K - $136K/yr
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Austin, TX · On-site
$113K - $136K/yr
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Data Engineer
Austin, TX · On-site
$113K - $136K/yr
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Data Engineer
Austin, TX · On-site
$113K - $136K/yr
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$113K - $136K/yr
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Austin, TX · On-site
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$105K - $142K/yr
... Developer - Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications. Additional Information Benefits are an integral ...
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Austin, TX · Remote
$105K - $142K/yr
... Developer - Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications. Additional Information Benefits are an integral ...
Finance Data Engineer
Austin, TX · On-site
$149K - $249K/yr
The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...
Finance Data Engineer
Austin, TX · On-site
$149K - $249K/yr
The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...
Data Engineer Developer information
What is the difference between Data Engineer Developer vs Data Analyst?
| Aspect | Data Engineer Developer | Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's in CS, Engineering, or related; often certifications in cloud or big data tools | Bachelor's in Statistics, Math, or related; certifications in data visualization or analysis tools |
| Work Environment | Builds data pipelines, manages databases, works with cloud platforms | Analyzes data, creates reports, visualizes insights for business decisions |
| Employer & Industry Usage | Tech companies, finance, healthcare, e-commerce | Marketing, finance, retail, consulting |
While Data Engineer Developers focus on building and maintaining data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles require strong technical skills but serve different stages of the data lifecycle.
Is a data engineer a developer?
A data engineer is a type of developer who specializes in designing, building, and maintaining data pipelines, databases, and infrastructure for data storage and processing. They often work with programming languages like Python, Java, or Scala, and use tools such as Apache Spark or Hadoop. While both roles involve coding, data engineers focus on data architecture and systems rather than application development.
What cities near Hutto, TX are hiring for Data Engineer Developer jobs?
Cities near Hutto, TX with the most Data Engineer Developer job openings:
Databricks Data Engineer
Austin, TX • On-site
IT America Inc •
Software Development • 201 - 500 employees201 - 500 employees
$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
About IT America
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
Edison, NJ, US
Year founded
2004