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.Required Qualifications: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.Preferred Qualifications: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).