Data Engineer Analyst (WDP)

BT-156 – Data Engineer Analyst (WDP)
Skill Level: Entry/Junior
Location: Chantilly/Herndon


**MUST HAVE AN ACTIVE TS OR TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.**



Role Description:
This is an entry-level opportunity to begin your career as a Data Engineer. As a Junior Analyst, you will learn the fundamentals of building and maintaining large-scale data pipelines on a government data platform. You will work alongside senior engineers, assisting with development, monitoring systems, and helping to ensure the quality and reliability of our data. This role is ideal for a motivated individual with a foundational understanding of data concepts and a strong desire to learn and grow.

Responsibilities:

• Assist senior engineers in the development and maintenance of data pipelines.
• Support the operations of existing pipelines by monitoring their performance and responding to alerts under supervision. 
• Execute pre-defined scripts and processes for data ingestion and transformation.
• Help run data quality checks and document the results. 
• Participate in team meetings and Agile/Scrum ceremonies, learning the development lifecycle. 
• Contribute to the creation and upkeep of technical documentation for data processes.

• 0-2 years of experience or relevant internship experience in a technical or data-related field.
• A Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Basic knowledge of SQL and at least one scripting language (Python preferred). 
• A foundational understanding of data concepts (e.g., databases, ETL).
• Strong problem-solving skills and a proactive willingness to learn new technologies.
• Experience with cloud data platforms (e.g., Databricks, Snowflake, AWS S3, Azure Data Lake).
• A foundational understanding of metadata management and data governance concepts.

• Hands-on experience developing integrations for an enterprise data catalog platform (e.g., Collibra, Alation).
• Experience with workflow orchestration tools (e.g., Airflow, Prefect).
• Familiarity with Infrastructure-as-Code (e.g., Terraform).
• Exposure to streaming data technologies (e.g., Kafka).