Skip to main content
Johns Hopkins Applied Physics Laboratory logo

Data Analytics Engineer, Multimodal

Johns Hopkins Applied Physics Laboratory
Full Timesenior
North Laurel, Maryland, US$105k – $245kPosted March 1, 2026

Salary Context

This role offers $105k–$245k. The median for Senior-level security roles is $130k–$179k (based on 92 listings). 13% above median.

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

PythonSQLAWSGCPAzureDockerKubernetesPandasTensorFlow

Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score

Job Description

Salary: $105,000 - 245,000 per year

Requirements

  • Bachelors Degree in Computer Science, Data Science/Engineering, Computer Engineering, Artificial Intelligence/Machine Learning, or related field.
  • Minimum of 7 years of relevant experience in developing analytical tools utilizing various techniques, especially AI/ML methods.
  • Proven capability to create high-quality software solutions that are accurate, efficient, reliable, maintainable, and scalable.
  • Comprehensive understanding of data engineering fundamentals, including data ingestion, cleaning, transformation, storage, fusion, and visualization.
  • Familiarity with professional software development practices such as version control, testing, code review, and modular design.
  • Excellent technical writing, presentation, and communication abilities for reports, proposals, and interactions with sponsors.
  • Must be eligible to acquire an Interim Top Secret level security clearance by the start date and ultimately obtain a TS/SCI level clearance, requiring U.S. citizenship.

Responsibilities

  • Develop, design, and enhance analytical techniques that convert complex multimodal data into insightful information.
  • Create robust software tools focused on operationalizing these analytical techniques for research, demonstration, and practical applications.
  • Guide and mentor junior staff, offering support in technical execution and career development.
  • Recognize emerging mission needs and present innovative capabilities and concepts to sponsors.
  • Document methods and outcomes clearly and present findings effectively to stakeholders within the lab and the broader technical community.

Technologies:

  • AI
  • Support
  • Machine Learning
  • Security
  • AWS
  • Azure
  • Cloud
  • Docker
  • GCP
  • HTTP
  • Kubernetes
  • LESS
  • Network
  • NoSQL
  • Python
  • SQL
  • TensorFlow
  • opencv
  • pandas

More:

At APL, we are dedicated to tackling our nations most pressing defense, security, space, and science challenges through our top-tier expertise. We foster a vibrant and inviting culture that encourages individuals to bring their whole selves to work, continue personal and professional growth, and forge strong connections with colleagues. We celebrate diverse perspectives and inspire creativity and innovative ideas. Our competitive benefits include a comprehensive education assistance program, generous retirement contributions, and a commitment to a balanced work-life environment. Located in the Baltimore-Washington metro area, we invite you to explore your career possibilities with us.

last updated 9 week of 2026

Want AI-powered job matching?

Upload your resume and get every job scored, your resume tailored, and hiring manager emails found - automatically.

Get Started Free