Application Developer (Software Engineer 2)

Wyetech•Fort Meade, MD
•$59 - $80

About The Position

Wyetech is seeking a Senior Application Developer (Software Engineer Level 2) to develop scalable custom analytics and software solutions supporting critical mission objectives. The role collaborates with data scientists, mission analysts, and technical stakeholders to develop tools that enhance discovery, advance analytical tradecraft, and address complex global challenges. It focuses on prototyping, developing, integrating, testing, deploying, and maintaining analytical capabilities within the customer's corporate architecture to operationalize data science. The Software Engineer analyzes, designs, verifies, validates, implements, applies, and maintains software systems. The role applies computer science principles—including discrete mathematics, probability, and statistics—to complex software systems; generalizes techniques across domains; and develops documentation and training, as well as presenting technical briefings and demonstrations to stakeholders. Candidates must meet one of the specified education and experience combinations: a bachelor's degree in Computer Science or a qualifying related discipline and five years of relevant experience; a master's degree and three years; a doctoral degree with no additional experience; or, in some cases, an associate's degree and seven years of directly related experience. Relevant experience must include software development and programming across requirements analysis, design, implementation, testing, integration, deployment or installation, and maintenance. Degrees in related disciplines may qualify when coursework is equivalent to a Computer Science concentration. Active TS/SCI with Polygraph and United States citizenship are required. Candidates requiring a CCA will be considered. The position offers an hourly pay range of $59.26–$80.25. Compensation varies based on factors including contract rates, education, experience, skills, certifications, and location. Wyetech describes its employee experience as part of an award-winning corporate culture and offers retirement contributions, PTO, optional benefits, referral bonuses, mobility among supported contracts, team events, and complimentary branded clothing orders.

Requirements

  • Proficiency in Java, Python, and PySpark.
  • Experience developing analytical tools and applications using Jupyter Notebooks and GM.
  • Experience with customer corporate tools, system architectures, data flows, and big data environments.
  • Familiarity with machine learning fundamentals, data analysis, and scalable analytics.
  • Experience developing, integrating, testing, deploying, and maintaining software applications in operational environments.
  • Experience using Jira, Confluence, and GitLab.
  • Familiarity with Agile software development methodologies.
  • Ability to collaborate with data scientists, mission analysts, and technical stakeholders on mission-focused solutions.
  • Meet one of the education and experience combinations: bachelor's degree in Computer Science or qualifying related discipline plus five years of relevant experience; master's degree plus three years; doctoral degree with no additional experience; or, in some cases, associate's degree plus seven years of directly related experience.
  • Relevant experience must include software development and programming, including requirements analysis, software design, implementation, testing, integration, deployment or installation, and maintenance.
  • A qualifying degree must be in Computer Science or a related discipline; related degrees may qualify when coursework is equivalent to a Computer Science concentration covering algorithms, computer architecture, programming methodologies and languages, data structures, logic and computation, and advanced mathematics.
  • Active TS/SCI with Polygraph security clearance required.
  • United States citizenship required.

Nice To Haves

  • Experience with software development processes, including requirements analysis, software design, implementation, testing, integration, deployment or installation, maintenance, and programming.
  • Experience with Data Science and Artificial Intelligence/Machine Learning (AI/ML).
  • Experience using Large Language Models (LLMs).
  • Candidates requiring a CCA will be considered.

Responsibilities

  • Analyze, design, develop, verify, validate, implement, and maintain software systems and analytical applications.
  • Apply computer science principles, discrete mathematics, probability, and statistics to complex software systems.
  • Develop, integrate, test, deploy, and maintain scalable analytical tools supporting mission requirements.
  • Collaborate with data scientists and mission analysts to translate operational requirements into software solutions.
  • Use customer corporate architectures, data repositories, and big data environments to support analytical workflows.
  • Develop technical documentation, provide training, and present briefings and demonstrations to stakeholders.
  • Prototype and operationalize analytical capabilities within the customer's corporate architecture.

Benefits

  • Company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no employee matching required; contributions are fully vested from day one.
  • PTO plan of up to 200 hours annually, with flexibility to adjust the allocation at the start of each calendar year.
  • Voluntary medical plan options, some with a Health Savings Account (HSA), for full-time employees.
  • Vision and dental benefits.
  • Life and AD&D benefits.
  • Short- and long-term disability benefits.
  • Hospital indemnity, accident, and critical illness insurance.
  • Optional identity theft and legal protection services.
  • Employee referral bonus eligibility up to $10,000.
  • Mobility among Wyetech-supported contracts.
  • Team-building events, including monthly lunches, a summer company picnic, and an annual holiday party.
  • Two complimentary branded clothing orders annually.
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