Data Engineer
@ Bigbear.ai

District of Columbia, United States
$120,000
On Site
Full Time
Posted 17 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @bigbear.ai
Recommended after applying

Job Details

Overview

BigBear.ai is seeking a highly skilled and motivated Data Engineer to join our Data Architecture & Engineering team. In this role, you will design and build scalable, secure, and efficient data pipelines that transform raw data into actionable insights. You will work across cloud environments, databases, and development teams supporting mission-critical applications, analytics, and reporting.

What you will do

  • Design and develop end-to-end data pipelines for structured and unstructured data.
  • Build and maintain ETL processes ensuring data quality and performance.
  • Integrate pipelines with AWS services like S3, Lambda, Glue, and Redshift.
  • Develop schemas, data dictionaries, and transformation logic.
  • Manage production datasets ensuring fault tolerance and integrity.
  • Collaborate with cross-functional teams and document data workflows.
  • Support database management including performance tuning and access control.
  • Apply Agile practices to deliver iterative improvements.
  • Develop and integrate APIs and work with cloud messaging APIs.
  • Continuously explore and adopt new tools and technologies.

What you need to have

  • TS-SCI clearance.
  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 4–8 years of experience in data engineering, ETL, or database administration.
  • Proficiency in AWS and cloud-based data integration.
  • Strong experience with ETL architecture and data processing.
  • Understanding of database management, schema design, and optimization.
  • Experience with API development and integration.
  • Familiarity with Agile methodologies.
  • Strong problem-solving and technical support skills.

What we'd like you to have

  • Experience with cloud messaging APIs and push notifications.
  • Hands-on experience with database administration and performance tuning.
  • Interest in the latest data tools for solving real-world problems.
  • Experience in supporting data infrastructure technical support functions.
  • Familiarity with national security or mission-driven environments.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Headquartered in McLean, Virginia, this public company is traded on the NYSE under the symbol BBAI. For more information, visit their website and follow them on LinkedIn and X.

Key skills/competency

Data pipelines, ETL, AWS, API, database management, Agile, cloud integration, data quality, schema design, performance tuning

How to Get Hired at Bigbear.ai

🎯 Tips for Getting Hired

  • Research BigBear.ai's culture: Study their mission, values, and recent projects.
  • Customize your resume: Highlight ETL and AWS skills effectively.
  • Prepare your portfolio: Showcase scalable data pipeline projects.
  • Practice technical interviews: Focus on AWS and database challenges.
  • Engage on LinkedIn: Connect with current employees.

📝 Interview Preparation Advice

Technical Preparation

Review AWS service functionalities.
Practice pipeline design challenges.
Study ETL process optimization techniques.
Test database tuning exercises.

Behavioral Questions

Describe past data project challenges.
Discuss teamwork in a technical setting.
Explain problem-solving under pressure.
Share experience with process improvements.

Frequently Asked Questions