Solution Engineer

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role. MANTECH seeks a Solution Engineer specialized in data engineering, data science, and machine learning to support our growing Data and AI Practice. The successful candidate will collaborate with Solution Specialists, Practice Growth Partners, Capture Managers, and Technical and Business SMEs to shape and deliver robust enterprise data architectures, MLOps frameworks, functional demonstrations, and technical pre-sales deliverables that align with client missions and MANTECH's Data and AI strategic vision. This role heavily emphasizes structural data integrity, deep machine learning pipelines, and robust data architectures. Responsibilities Include (but are not limited to): Develop and deliver technical demonstrations, proof-of-concepts, and whitepapers to showcase Data and AI Practice capabilities, including but not limited to areas such as Machine Learning (ML), Data Management, and Enterprise Data Analytics. Support opportunity shaping and qualification efforts through technical research and solutioning activities across Intel and Homeland Security, Defense and Space, and Commercial sectors. Translate mission needs into scalable, secure, and differentiated technical approaches, using best-in-class data engineering tools, architectures, and design patterns. Maintain a strong understanding of traditional machine learning frameworks, enterprise data governance, government compliance requirements, and integration methods with secure enterprise systems. Participate in color team reviews (e.g., pink, red) and lead the refinement of solution content throughout the proposal lifecycle. Support internal capability development by contributing reusable data architectures, data science patterns and algorithms, and solution accelerators, and collaborating across MANTECH’s technical community. Draft and contribute to technical volumes of RFI and RFP responses, ensuring alignment with customer requirements and mission objectives. Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. 10 years of experience in IT solution development, systems engineering, or pre-sales engineering with a focus on data and ML technologies. Foundational Technical Skills: Strong proficiency in Python for data science, data manipulation, and pipeline development. Core Concepts: Solid understanding of traditional Machine Learning (ML) methodologies, Data Management, and Data Engineering principles. Experience working within the Intelligence Community, DoD, or FedCiv markets. Strong working knowledge of Enterprise Data Platforms (e.g., Snowflake, Databricks, IBM Cloud Pak for Data, Oracle Cloud Infrastructure Data Platform). Strong working knowledge of Cloud Services (e.g., AWS, Azure, GCP, OCI). Experience responding to RFIs/RFPs and working on proposal teams in government contracting environments. Preferred Qualifications: Background in implementing ML pipelines or data analytics platforms in secure or classified environments. Experience with MLOps, containerization (Docker, Kubernetes), and strict data governance. Proficiency with ML development platforms and tools, such as AWS SageMaker, Jupyter, Palantir, and Snorkel. Experience working as a solution engineer for a major Federal consulting firm, FSI, or enterprise software provider. Experience developing staffing plans and work breakdown structures (WBSs) to support solution planning and proposal efforts. Clearance Requirements: Must have a current active TS/SCI clearance Physical Requirements: Constantly operates a computer and other productivity machinery. Must be able to remain in a stationary position for prolonged periods. Travel may be required to support client meetings, technical demonstrations, or proposal efforts.aa415a4b-8b21-40fc-a65c-70d2b25ca29a