Sr. Analytic & Dataflow Developer (SWE3)
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, including requirements analysis, software design, implementation, testing, integration, deployment/installation, and maintenance.
Formal or informal leadership experience is preferred.
Security Clearance: Active TS/SCI with Full Scope Polygraph required.
Citizenship: United States Citizenship required.
At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.
Additional benefits include:
Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.
Full-time employees have the option to participate in a variety of voluntary benefit plans including:
A Choice of Medical Plan Options, some with Health Savings Account (HSA)
Vision and Dental
Life and AD&D Benefits
Short and Long-Term Disability
Hospital Indemnity, Accident, and Critical Illness Insurances
Optional Identity Theft and Legal Protection Services
Employee Referral Bonus Eligibility up to $10,000
Mobility Among Wyetech-supported Contracts
Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
Various team-building events throughout the year, such as monthly lunches, summer company picnic, and an annual holiday party.
Employees receive two complimentary branded clothing orders annually.
Hourly Pay Range: $87.16–$118.03
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications; and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts.
Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Affirmative Action Statement:
Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:
Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
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