Senior Data Platform Engineer

Senior Data Platform EngineerPittsburgh, Pennsylvania, United StatesApply Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking an exceptional and experienced data platform engineer who shares our passion and obsession with quality.  You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed, real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated engineer to join our team to lead us in uncovering truth and meaning in data.  You must be hands-on with a strong understanding of both data platforms and cloud infrastructure.  You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and Air platform SMEs.   In order to do this job well, you must be a curious and eager problem solver with a hunger for delivering high-quality data solutions.  You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity and produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward.    This role is a full-time position located out of our office in Pittsburgh, PA.  This role may require up to 10% travel Scope of Responsibilities Design and implement platform architecture enhancements to support scalability and reliability Design, build, maintain, and support data platform solutions to enable efficient data consumption across functional teams, including AI/ML, Data Science, and Software Evaluate and integrate emerging technologies to improve the data platform Collaborate with teams across the organization to understand business needs and translate them into data solutions Mentor junior engineers by providing code reviews, guidance, and technical leadership through promotion of engineering best practices Qualifications U.S. Citizenship is required Bachelor's degree in Computer Science, Mathematics or a related technical field  Required Skills:  5+ years of experience in building and maintaining scalable data platforms or services Strong proficiency in Python and SQL Proven experience in architecting and implementing data pipeline frameworks, including orchestration Solid understanding of data security and governance best practices Hands-on with big data frameworks, such as Apache Spark Knowledge of cloud-native data lake/lakehouse architectures Demonstrated ability to collaborate with stakeholders to deliver data platform solutions that support AI, machine learning, data science, and web applications Strong analytical skills and attention to detail Ability to work independently in a fast-paced environment A passion for solving complex problems and building sustainable, scalable systems Desired Skills:  Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience using Amazon Web Services Experience in or exposure to the nuances of a startup or other entrepreneurial environment Working knowledge of large (multiple terabytes) amounts of data We firmly believe that past performance is the best indicator of future performance.  If you thrive while building solutions to complex problems, are a self-starter, and...