Software Engineer with Security Clearance

7 days ago


Washington, United States Aleut Federal LLC Full time


ABOUT ALEUT FEDERAL At Aleut Federal, we believe the company and its mission are just as important as the job you are applying for.

Aleut Federal is an Alaskan Native-owned enterprise whose purpose is to support our 'Shareholders,' the Unangax, the indigenous people of the Aleutian Islands of Alaska.

People are at the core of everything we do.

We support our Shareholders by providing excellent service and quality results to our clients, and the various branches of the federal government.

We engage in our local markets, so community service is embedded into our process. Our culture nurtures the strength of our workforce through mentorship and coaching, providing opportunities for growth, and competitive benefits. We support and encourage diversity, inclusion, and accountability at every level.

The Aleut Federal motto is 'We are One' because we truly believe that with one heart, one mind, and one purpose, we can accomplish our mission and be an organization anyone would be proud to be a part of.

Are you passionate about delivering critical technology solutions to federal agencies and supporting their mission? Are you self-organizing, motivated, and client-focused? We are looking for a Software Engineer who will be responsible for activities in support of a highly visible project with scope including agile software development and implementation, digital platform modernization, and emerging technology solutions (including Salesforce and other industry tools).

You will play a pivotal role in the development and implementation of data analytics solutions that empower businesses to extract actionable insights from complex datasets.

You will work closely with cross-functional teams to design, build, and optimize software applications tailored to meet the unique analytical needs of our clients.


Responsibilities:

Essential Job Functions:
Collaborate with data scientists, analysts, and stakeholders to understand business requirements and translate them into technical specifications.

Develop robust software solutions for data collection, storage, processing, and visualization using cutting-edge technologies and programming languages such as Python, R, SQL, etc.

Design and implement scalable data pipelines and ETL processes to ingest, clean, transform, and integrate diverse datasets from various sources.

Utilize advanced statistical and machine learning techniques to perform predictive modeling, clustering, classification, and other analytical tasks.
Create intuitive and interactive dashboards, reports, and visualizations to communicate insights and findings to stakeholders effectively.
Optimize performance and efficiency of data analytics workflows through code refactoring, algorithm optimization, and infrastructure tuning.

Stay abreast of industry trends, best practices, and emerging technologies in data analytics and software engineering to continuously enhance our solutions.

Participate in code reviews, testing, and debugging activities to ensure the reliability, scalability, and security of our software applications.

Approach data analytics and data science solutions from multiple perspectives (such as business, organization, security, data, and technology)
Understand new technologies and solutions to present design and implementation details to customers
Provide systems design/ architecture, software development, and DevOps to support delivery excellence
Provide interactive data visualization, information presentation, and user experience development and interface optimization

Qualifications:
A bachelor's degree and 5+ years of experience is required in software engineering; a Master's degree preferred
Experience working with SQL and Python (or equivalent); Standard machine learning packages such as Spark, Hadoop, or similar software; Agile processes and procedures; experience, using software such as R, SAS, SPSS, or equivalent software; providing validation of methods and identifying best practices
Experience with common machine learning algorithms and problem domains to include feature engineering, hyperparameter tuning, and performance optimization
Experience with SQL for advanced querying and joining of heterogeneous data sets
Statistics knowledge including common pitfalls in modeling and data analysis, sampling, and data augmentation a plus
Ability to obtain a DoS Secret Security Clearance

Knowledge, Skills, Abilities:
Great writing and oral skills involving customer-ready presentations, proposal content, and technical documentation
Great presentation skills to different audiences including senior-level clients, business SMEs, and developers
Great research and analysis skills for data analysis
Ability to maintain multi-deadline, fluid set of projects under Agile management methods; overall project management proficiency including monitoring and controlling projects and communicating across all project stakeholders
Ability to work as a self-starter, take initiative, and execute tasks with minimal supervision
Preferred
Qualifications:
Relevant certifications are preferred
Experience working with clients such as the U.S. Department of Agriculture, U.S. Commerce Department, Department of State (preferred), Department of the Interior, etc.
An active DoS Secret Security Clearance (Top Secret preferred)

Aleut Federal, LLC provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

In addition to federal law requirements, AF complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

AF expressly prohibits any form of workplace harassment based on race, color, sex, religion, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.



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