Senior Analytic Developer – Dataflow (Software Engineer Level 3 – SWE3)
Wyetech is seeking a versatile Senior Analytic Developer with Dataflow experience to support mission-critical discovery operations. The Software Engineer will develop and enhance analytic platforms, tools, and mission-ready capabilities that streamline, automate, and optimize analytical tradecraft. Approximately 15–20% of the position will focus on Apache NiFi dataflows and cluster management, supporting organizational-level configurations and efficient data processing.
Required Skills/Experience:
Strong proficiency in Python, PySpark, and GM development.
Experience developing and enhancing analytic platforms, software tools, and mission-ready products.
Strong experience with Apache NiFi, including dataflow development, management, and cluster administration.
Experience automating and optimizing analytical workflows to support discovery operations.
Proficiency with Jira, Confluence, GitLab, and Agile software development methodologies.
Foundational knowledge of Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), and Data Science.
Experience with software development, integration, testing, deployment, and maintenance.
Ability to collaborate with mission stakeholders and technical teams to deliver scalable analytical solutions.
Desirable Skills:
Experience with QTA, Docker, and Apache Spark.
Understanding of customer architecture, corporate dataflows, and enterprise analytical environments.
Experience with customer tools such as DX and Elasticsearch.
Formal or informal technical leadership experience.
The Software Engineer shall analyze, design, verify, validate, implement, apply, and maintain software systems. Appropriately apply discrete mathematics, probability, statistics, and other relevant computer science principles to complex software systems. Generalize techniques across multiple domains, develop appropriate documentation and training, and present technical briefings and demonstrations to stakeholders.
Capabilities:
(U) Analyze, design, verify, validate, implement, and maintain complex software systems.
(U) Apply computer science principles, discrete mathematics, probability, and statistics to software engineering challenges.
(U) Develop and enhance analytical platforms, software tools, and mission-ready capabilities supporting discovery operations.
(U) Design, manage, and optimize Apache NiFi dataflows and support cluster configurations within enterprise environments.
(U) Automate and streamline analytical workflows to improve processing efficiency and mission effectiveness.
(U) Develop technical documentation, provide training, and present briefings and demonstrations to stakeholders.
Qualifications:
Candidates must meet one (1) of the following education and experience combinations:
Bachelor's degree in Computer Science or a qualifying related discipline plus eight (8) years of relevant experience.
Master's degree in Computer Science or a qualifying related discipline plus six (6) years of relevant experience.
Doctoral degree in Computer Science or a qualifying related discipline plus four (4) years of relevant experience.
Associate's degree in Computer Science or a qualifying related discipline plus ten (10) years of relevant experience may be considered for individuals with in-depth, directly related experience.
Degree requirements:
Degree must be in Computer Science or a qualifying related discipline.
Related degrees, including Engineering and Mathematics, may be considered if coursework includes foundational Computer Science subjects: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics.
Information Technology or Information Systems degrees may be considered if coursework is equivalent in amount and type to a Computer Science major.
Relevant experience must include software development and programming,…