Data Engineer Analyst (WDP)
Bespoke TechnologiesChantilly/Herndon, VANot stated
Salary not published by the employer
Timing
- Posted by employer
- Posting date not provided by source
- Detected by our platform
- Aug 14, 2026, 2:51 PM UTC3 hours ago
- Last confirmed present
- Aug 14, 2026, 2:51 PM UTC
- Detected closed
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Description
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).