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# Junior Data Engineer

- **Company:** Akaasa Technologies
- **Location:** Washington, DC, United States
- **Experience:** Starter
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Document-Oriented Databases, Standard Sql, DataOps, Enterprise Data Management, Data Processing, Data Management, Data Pipelines, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.adzuna.com/details/5829802963

## About the Role

This role is ideal for candidates with hands-on experience in Databricks, dbt, and Azure Cloud who are looking to grow in modern data engineering and AI-enabled environments., A junior Data Engineer with 1 4 years of experience in Databricks, dbt, and Azure, eager to work on modern cloud-based data platforms while supporting enterprise AI and analytics initiatives., * 1 4 years of Data Engineering experience

 * Strong hands-on experience with Databricks
 * Experience with dbt for data transformation and modeling
 * Working knowledge of Microsoft Azure Cloud
 * Experience building and supporting ETL/ELT data pipelines
 * Understanding of structured data processing and data integration
 * Strong SQL and data modeling fundamentals

Nice to Have

 * Experience working with unstructured/document data
 * Exposure to AI/ML or AI-enabled data platforms
 * Familiarity with data engineering best practices and reusable pipeline development

## Description

Client is seeking a Junior Data Engineer to support the ITSAI organization, a newly established AI & Data Engineering group. The team is responsible for building modern data platforms, establishing engineering standards, and enabling AI-driven initiatives through scalable data solutions., * Build and maintain scalable data pipelines and transformations

 * Develop and support data solutions using Databricks and dbt
 * Deploy and manage data workloads within the Azure Cloud environment
 * Collaborate with engineering teams to establish data standards and best practices
 * Support integration of enterprise data platforms with AI and analytics initiatives
 * Assist in developing reusable data engineering patterns and documentation


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