Senior Software Engineer

Talentify; Maryland; On-site; USD 120,000 - 180,000; Full time

Job summary

BigBear.ai in Annapolis Junction, MD, is seeking a Software Engineer - Data Visualization to build and deploy advanced visualizations from complex datasets in a collaborative, mission-driven environment.

You will develop a data visualization toolkit, work on APIs and data pipelines in Python or Java, and create multi-dimensional visualizations for analytics platforms. On-site role requiring TS/SCI with Poly.

Qualifications

• 14+ years of software engineering experience.
• Active TS/SCI with Poly (required).
• Proficiency in Python or Java for backend development.
• Proven experience building multi-dimensional visualizations (time-series, cascading, drill-down).
• Full-stack development experience using REST APIs.
• Hands-on experience with relational databases (MySQL, PostgreSQL).
• Strong background developing in Linux environments.

Responsibilities

• Develop & Implement: Build and support a data visualization toolkit, including configuration, deployment, and usage.
• Backend Engineering: Work on APIs, services, and data processing pipelines using Python or Java.
• Data-Heavy Visualizations: Create multi-dimensional, time-series, cascading, and drill-down visualizations for analytics platforms and monitoring tools.
• Full-Stack Development: Build and consume REST APIs, ensuring frontend-backend integration.
• Database Management: Work with MySQL and PostgreSQL to handle structured data and analytics workloads.
• Linux Environment: Deploy, debug, and operate services in production environments.

Skills

Python

Java

Data Visualization

REST APIs

SQL

Linux

Education

Bachelor's degree in Computer Science or equivalent

Tools

MySQL

PostgreSQL

Job description

Residency

All applicants must reside in the United States at the time of application.

Overview

Software Engineer - Data Visualization

Location:

Annapolis Junction, MD (On-Site)

Clearance Required: TS/SCI with Poly

Are you ready to showcase your skills and develop cutting‑edge visualizations that make a real impact? BigBear.ai is seeking a Software Engineer to join our team and build innovative visualizations from complex data sets in a highly collaborative environment. This is your opportunity to work on a high-profile contract providing operations research, modeling, and simulation services to support Agency operations. If you thrive in fast-paced environments, enjoy solving complex problems, and want to work on innovative solutions, we want to hear from you!

What you will do

• Develop & Implement: Build and support the usage of a data visualization toolkit, including configuration, deployment, and usage.
• Backend Engineering: Work on APIs, services, and data processing pipelines using Python or Java.
• Data-Heavy Visualizations: Create multi-dimensional, time-series, cascading, and drill-down visualizations for analytics platforms and monitoring tools.
• Full-Stack Development: Build and consume REST APIs, ensuring seamless frontend-backend integration.
• Database Management: Work with relational databases (e.g., MySQL, PostgreSQL) to handle structured data, complex queries, and analytics workloads.
• Linux Environment: Deploy, debug, and operate services in real-world production environments.

What you need to have

• Experience: Technical BS and 14+ years of experience in software engineering.
• Clearance: Active TS/SCI with Poly (required).
• Technical Expertise:
  • Proficiency in Python or Java for backend development.
  • Proven experience building multi-dimensional visualizations, including time-series, cascading, and drill-down interfaces.
  • Full-stack development experience using REST APIs.
  • Hands-on experience with relational databases (e.g., MySQL, PostgreSQL).
  • Strong background developing in Linux environments.

What we'd like you to have

Experience working with highly collaborative teams that are focused on mission success.

Pay transparency

Please note the targeted compensation range is provided as an estimate, and any actual compensation offer may vary depending on the needs of the company, or an applicant's skillset, competencies, experience, education, certifications, location, or other factors. The estimated range does not include the value of any benefits offered.

About BigBear.ai

BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. Customers and partners rely on Bigbear.ai’s predictive analytics capabilities in highly complex, distributed, mission-based operating environments. Headquartered in McLean, Virginia, BigBear.ai is a public company traded on the NYSE under the symbol BBAI. For more information, visit https://bigbear.ai/ and follow BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.

BigBear.ai is an Equal opportunity employer all protected groups, including protected veterans and individuals with disabilities.

• Experience: Technical BS and 14+ years of experience in software engineering.
• Clearance: Active TS/SCI with Poly (required).
• Technical Expertise:
  • Proficiency in Python or Java for backend development.
  • Proven experience building multi-dimensional visualizations, including time-series, cascading, and drill-down interfaces.
  • Full-stack development experience using REST APIs.
  • Hands-on experience with relational databases (e.g., MySQL, PostgreSQL).
  • Strong background developing in Linux environments.
• Develop & Implement: Build and support the usage of a data visualization toolkit, including configuration, deployment, and usage.
• Backend Engineering: Work on APIs, services, and data processing pipelines using Python or Java.
• Data-Heavy Visualizations: Create multi-dimensional, time-series, cascading, and drill-down visualizations for analytics platforms and monitoring tools.
• Full-Stack Development: Build and consume REST APIs, ensuring seamless frontend-backend integration.
• Database Management: Work with relational databases (e.g., MySQL, PostgreSQL) to handle structured data, complex queries, and analytics workloads.
• Linux Environment: Deploy, debug, and operate services in real-world production environments.