Job Description
Job Description
Job Title: Data Engineer
Location: Washington, DC - Onsite – Local Candidates Only
Job Overview:
We are currently seeking Data Engineers (Level 1 & Level 2) to support a major data platform initiative. The goal of this project is to help Knowledge 360 establish a strong and scalable data foundation across both structured and unstructured data environments.
These roles will play a key part in building the data platform and enabling future AI and analytics capabilities.
Key Skills Required:
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Azure Data Factory (ADF)
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dbt
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Databricks
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Python
Responsibilities:
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Design, build, and maintain scalable data pipelines
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Work with both structured and unstructured data sources
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Support the development of a modern data platform architecture
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Collaborate with data teams to enable analytics and AI capabilities
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Ensure data quality, reliability, and performance of data pipelines
Requirements:
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Experience working with ADF, dbt, Databricks, and Python
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Strong understanding of data engineering concepts and ETL/ELT pipelines
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Ability to work collaboratively in a fast-paced project environment
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Must be local and available to work onsite at least 3 days per week