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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Engineer & Data Analyst - **Company:** Artificial Intelligence - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Big Data, Cloud Database, Encodings, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Database Queries, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Query Optimization, Software Deployment, Software Engineering, Data Logging, Google Cloud, Azure Data Factory, Large Language Models, Apache Spark, Generative AI, Pytest, Apache Flink, Luigi, AWS Glue, Data Analytics, Software Version Control, Devsecops - **Published:** September 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/41520a20-6500-4769-9401-7fab3a521696/principal-ai-engineer-data-analyst ## About the Role * Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field from a US accredited institution. Recent Ph.D. graduates and postdoctoral researchers with strong applied AI/ML or NLP research backgrounds are strongly encouraged to apply. \n * 5+ years of relevant experience in data engineering, applied AI/ML research, or a related technical discipline. Equivalent experience - via a Ph.D./postdoctoral research, federal or military technical service, or startup engineering roles - will be considered in place of traditional industry tenure. \n * Proficient in Python with strong software engineering practices: OOP, testing frameworks (pytest), logging, error handling, and version control. \n * Expertise in ETL/ELT orchestration (Apache Airflow, Prefect, Luigi, AWS Glue, or Azure Data Factory); deep SQL proficiency including query optimization and index tuning. \n * Data modeling expertise: normalization, star/snowflake schemas, slowly changing dimensions (Type 1/2). \n * Experience with big data processing frameworks (Apache Spark, Flink) and cloud data ecosystems (AWS, Azure, GCP). \n * Hands-on experience custom-developing AI/ML solutions (LLMs/SLMs, real-time voice/speech), and predictive data analytics; pipelines, preprocessing, embedding, grounding, and production deployment. \n * Working knowledge of Generative AI and RAG architectures, vector databases, and enterprise data infrastructure integration with model versioning, monitoring, and rollback strategies. \n * Fast learner with strong communication skills - able to explain complex technical work clearly to both technical and non-technical audiences, and eager to grow into public speaking and industry engagement. \n * Must be located in the U.S. or authorized to work in the U.S.; demonstrable portfolio of production AI/ML or data engineering work required. \n, * FAA domain or Aviation Safety systems exposure a plus but not required (e.g., ASIAS, SWIM, Foundry) - strong candidates from adjacent regulated domains (finance, healthcare, defense) with deep AI/ML skills will also be considered; domain training is provided. ## Description Shape Safer Skies with Artificial Intelligence! Concepts Beyond is seeking a hands-on AI / Data Engineer & Analyst to serve as our AI technical lead, powering aviation safety and air traffic management programs through enterprise-scale data engineering, applied machine learning, and intelligent system design. This is a high-ownership, individual-contributor role - you will personally architect pipelines, train and fine-tune models on mission-critical corpora, and deploy analytics solutions that drive real decisions in the National Airspace System. We welcome candidates from a range of backgrounds, including recent Ph.D. graduates, postdoctoral researchers, government or military technologists moving into industry, and engineers from academic or startup environments - sharp, eager, fast-learning technologists ready to grow into a highly visible, public-facing technical leadership role. ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [pytest: Simple, rapid and fun testing with Python](https://www.wearedevelopers.com/videos/213-pytest-simple-rapid-and-fun-testing-with-python) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Agents for the Sake of Happiness](https://www.wearedevelopers.com/videos/1387-agents-for-the-sake-of-happiness) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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