{"schemaVersion":"jobsearcher.job.v1","id":"fccfc455432fe080efa9fba5","url":"https://jobsearcher.com/jobs/fccfc455432fe080efa9fba5","canonicalUrl":"https://jobsearcher.com/jobs/fccfc455432fe080efa9fba5","title":"Aviation Programmer Analyst","description":"The Position\nATAC has an opening for an Aviation Programmer Analyst. This is a full-time mid-level staff position and located in the Washington, DC, area. The successful candidate will participate in the development of data processing and reporting tools supporting the analysis of aviation data at the Federal Aviation Administration (FAA).\nResponsibilities include:\nDesigning and building ML-driven analytical tools that accept user-specified metrics, threshold criteria, and historical time periods, then identify clusters of anomalous NAS performance and explain their root causes\nPerforming regression analysis and feature engineering on large, multi-source aviation datasets\nWorking with FAA stakeholders to develop Python-based capabilities that ingest air traffic performance metrics, apply clustering, regression, and other ML techniques to enable causal analyses and produce explainable outputs that quantify the contribution of each causal factor.\nUsing Python, Java, R and/or other languages and tools to create extract, transfer, load (ETL) processes generate metrics, find anomalies, and determine causal factors in aviation data\nImplementing model-explainability techniques (e.g., SHAP) so that analytical results are transparent to FAA decision-makers\nSupporting FAA activities starting at 06:00 Eastern Time\nSupporting other analysts/developers in the deployment of dashboards into a production environment\nWriting documentation for code/processes using Confluence\nA background check will be required for this position.\nQualifications\nATAC is looking for career-minded people with the potential to grow professionally and advance into positions of greater technical and project management responsibility.\nRequired attributes include:\nBS degree in Mathematics, Computer Science, Data Science, Engineering, or related fields, and 3 or more years of relevant experience\nStrong proficiency in Python for data analysis, statistical modeling, and machine learning (NumPy, pandas, scikit-learn, or equivalent)\nExperience with the Java, R, and JavaScript programming languages\nExperience with deploying ML models into a production environment and determining features from large datasets\nExperience using Oracle and PostgreSQL databases to retrieve, process, and store data\nExperience working in Windows and Unix/Linux environments\nExperience using Git and other collaborative tools\nExcellent skills with Microsoft Office including Excel, PowerPoint, and Word\nExcellent written and oral communication skills and interpersonal relations skills\nDesirable attributes include:\nMasters degree in Mathematics, Computer Science, Engineering, or related fields and 1 or more years of relevant experience\nAir traffic data analytical expertise (especially with air traffic trajectory data, NAS performance metrics including OPSNET, TBFM, NTML, OOOI, and other large data sets)\nExperience with data visualization libraries (Matplotlib, Seaborn, Plotly) for communicating analytical results\nExperience with ML/statistical techniques such as ensemble methods (random forests, gradient boosting), time-series analysis, and anomaly/outlier detection\nExperience with geographical information systems and/or geo-computational methods\nExperience building Tableau and Leaflet dashboards\nA strong interest in the aviation field and solid understanding of the National Airspace System and FAA objectives\nIn addition, the ideal candidate is a team player, open to new ideas, technologies and development methodologies, thinks both logically and creatively, and approaches problems and problem solving with a positive and constructive attitude.\nATAC offers a casual business environment within a supportive team of innovative individuals. Pride in ATAC’s working and aviation-focused environment and culture is key to our success. Those who share this passion will thrive here. If this sounds like you, please send your resume, including a cover letter in which you summarize the particular elements of your background that relate to the requirements of this position.\nATAC is EOE, Disabled/Veterans.\nXJ6","company":"Atac","rawCompany":"atac","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-05-03T07:03:21.011Z","occupations":[{"code":"17-3021.00","title":"Aerospace Engineering and Operations Technologists and Technicians","slug":"aerospace-engineering-and-operations-technologists-and-technicians"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"488190","title":"Other Support Activities for Air Transportation","slug":"other-support-activities-for-air-transportation"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"926120","title":"Regulation and Administration of Transportation Programs","slug":"regulation-and-administration-of-transportation-programs"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Aviation Programmer Analyst","description":"The Position\nATAC has an opening for an Aviation Programmer Analyst. This is a full-time mid-level staff position and located in the Washington, DC, area. The successful candidate will participate in the development of data processing and reporting tools supporting the analysis of aviation data at the Federal Aviation Administration (FAA).\nResponsibilities include:\nDesigning and building ML-driven analytical tools that accept user-specified metrics, threshold criteria, and historical time periods, then identify clusters of anomalous NAS performance and explain their root causes\nPerforming regression analysis and feature engineering on large, multi-source aviation datasets\nWorking with FAA stakeholders to develop Python-based capabilities that ingest air traffic performance metrics, apply clustering, regression, and other ML techniques to enable causal analyses and produce explainable outputs that quantify the contribution of each causal factor.\nUsing Python, Java, R and/or other languages and tools to create extract, transfer, load (ETL) processes generate metrics, find anomalies, and determine causal factors in aviation data\nImplementing model-explainability techniques (e.g., SHAP) so that analytical results are transparent to FAA decision-makers\nSupporting FAA activities starting at 06:00 Eastern Time\nSupporting other analysts/developers in the deployment of dashboards into a production environment\nWriting documentation for code/processes using Confluence\nA background check will be required for this position.\nQualifications\nATAC is looking for career-minded people with the potential to grow professionally and advance into positions of greater technical and project management responsibility.\nRequired attributes include:\nBS degree in Mathematics, Computer Science, Data Science, Engineering, or related fields, and 3 or more years of relevant experience\nStrong proficiency in Python for data analysis, statistical modeling, and machine learning (NumPy, pandas, scikit-learn, or equivalent)\nExperience with the Java, R, and JavaScript programming languages\nExperience with deploying ML models into a production environment and determining features from large datasets\nExperience using Oracle and PostgreSQL databases to retrieve, process, and store data\nExperience working in Windows and Unix/Linux environments\nExperience using Git and other collaborative tools\nExcellent skills with Microsoft Office including Excel, PowerPoint, and Word\nExcellent written and oral communication skills and interpersonal relations skills\nDesirable attributes include:\nMasters degree in Mathematics, Computer Science, Engineering, or related fields and 1 or more years of relevant experience\nAir traffic data analytical expertise (especially with air traffic trajectory data, NAS performance metrics including OPSNET, TBFM, NTML, OOOI, and other large data sets)\nExperience with data visualization libraries (Matplotlib, Seaborn, Plotly) for communicating analytical results\nExperience with ML/statistical techniques such as ensemble methods (random forests, gradient boosting), time-series analysis, and anomaly/outlier detection\nExperience with geographical information systems and/or geo-computational methods\nExperience building Tableau and Leaflet dashboards\nA strong interest in the aviation field and solid understanding of the National Airspace System and FAA objectives\nIn addition, the ideal candidate is a team player, open to new ideas, technologies and development methodologies, thinks both logically and creatively, and approaches problems and problem solving with a positive and constructive attitude.\nATAC offers a casual business environment within a supportive team of innovative individuals. Pride in ATAC’s working and aviation-focused environment and culture is key to our success. Those who share this passion will thrive here. If this sounds like you, please send your resume, including a cover letter in which you summarize the particular elements of your background that relate to the requirements of this position.\nATAC is EOE, Disabled/Veterans.\nXJ6","datePosted":"2026-05-03T07:03:21.011Z","dateModified":"2026-05-03T07:03:21.011Z","hiringOrganization":{"@type":"Organization","name":"Atac","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fccfc455432fe080efa9fba5"},"url":"https://jobsearcher.com/jobs/fccfc455432fe080efa9fba5"}}