• Develop fast, robust, and spike-resistant data consumption, data mining, and processing tools for the entire company • Develop orchestration for large-scale post-processing, and computational pipelines • Participate in the development, optimization and productionization of the next generation data processing platform using Beam and Spark in the cloud • Build self-serve capabilities to help customers to adopt the next generation data processing platform • Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud • Champion engineering excellence by continuously improving systems and processes • Own technical projects from start to finish, contribute to the team’s product roadmap, and be responsible for major technical decisions and tradeoffs • Effectively participate in team’s planning, code reviews and design discussions • Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities.

• Designing, developing, and supporting scalable data and AI platforms • Building robust data pipelines • Integrating structured and unstructured data sources • Supporting AI/ML solutions in cloud-based environments

Role Description Come join our expanding team in the Warfare Systems Business Group at HII-Mission Technologies! We are seeking talented Data Architects to play a pivotal role in supporting Executive Order projects. This high-impact position focuses on enhancing a centralized data environment (CDE) that delivers auditable financial transaction data, improves transparency and accountability across DoW, and builds a robust common operating picture for senior leadership decision-making. Successful candidates are expert Python developers with strong relational database (SQL) skills, exceptional communication abilities, and a collaborative mindset. You will translate strategic imperatives into actionable data solutions—ensuring the right data reaches the right stakeholders at the right time to drive mission success in a dynamic national security environment. Essential Job Responsibilities - Designs, models, documents, and governs the logical and conceptual data architectures, relationships, and schema evolutions for complex, enterprise-scale applications in support of tracking and accountability reforms. - Analyzes current and emerging system requirements, then develops comprehensive technical, structural, and organizational specifications to enable auditable, transparent data flows. - Establishes and enforces data modeling standards, capacity planning, and performance optimization to support high-reliability DoW environments. - Develops robust Python-based scripts and ETL/ELT pipelines for efficient, secure data ingestion, transformation, and integration from diverse sources. - Leverages deep expertise in Relational Databases (SQL) for advanced querying, schema design, optimization, and data integrity assurance. - Operates within Agile/SAFe development frameworks to deliver iterative, high-value increments aligned with business priorities and DoW policies. - Provides technical guidance and mentorship to align development efforts with strategic FMS reform objectives, including enhanced tracking, oversight, and reporting. - Performs additional duties as assigned or required to advance mission goals. Qualifications - Proven Python development experience, including building scalable data pipelines and automation solutions. - Ability to work independently while thriving in collaborative team settings. - Self-motivated initiator with strong problem-solving skills and a proactive approach. - Must possess and maintain an active Secret clearance at the time of consideration. - Remote-eligible position; must align with Eastern Time Zone core business hours. Requirements - Database Engineer II: 2 years relevant experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience. - Database Engineer III: 5 years relevant experience with Bachelors in related field; 3 years relevant experience with Masters in related field; 0 years experience with PhD in related field; or High School Diploma or equivalent and 9 years relevant experience. - Database Engineer IV: 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD in related field; or High School Diploma or equivalent and 13 years relevant experience. Preferred Requirements - Strong understanding of transactional data flows, financial management systems, and auditability requirements in DoW/security cooperation contexts. - Direct experience with ADVANA. - Advanced SQL proficiency for complex querying, performance tuning, database administration, and optimization. - Experience in SAFe Agile environments, including participation in PI planning, Scrum/Kanban ceremonies, and DevSecOps practices. - Candidate who resides in east coast. Physical Requirements - Ability to remain in a stationary position for prolonged periods while working at a computer. - Ability to operate a keyboard, mouse, and standard office equipment to perform analytical tasks. - Must be able to effectively communicate in virtual meetings, briefings, and secure collaboration environments. - Ability to review, analyze, and interpret digital data for extended periods with attention to detail and accuracy. - Occasional light lifting of documents or equipment up to 10 lbs, if needed for home-office setup. - Must maintain a home work environment that meets company and government security requirements (e.g., controlled space for handling sensitive or FOUO information, if applicable). - Must be able to work assigned East Coast core business hours (40 hours/week) to support program and customer requirements. Benefits - Competitive benefits such as best-in-class medical, dental and vision plan choices. - Wellness resources and employee assistance programs. - Savings Plan Options (401(k)) and financial planning tools. - Life insurance and employee discounts. - Paid holidays and paid time off. - Tuition reimbursement and early childhood and post-secondary education scholarships. - Bonus/other non-recurrent compensation is occasionally offered for qualified positions.

Role Description This position is part-time, remote, up to 20 hours per week during business hours. As a Data Engineer Co-Op at our organization, you will have the opportunity to work with cutting-edge technologies within the Azure stack. You’ll specifically collaborate with the Finance Transformation Team, gain hands-on experience, and contribute to impactful data engineering and machine learning projects. If you’re passionate about data, analytics, AI, and cloud technologies, with an opportunity to learn business data acumen, this role is perfect for you! In this role, you will: - Quality Assurance (QA) Tasks: - Assist in identifying and resolving QA bugs related to data pipelines and processes. - Validate data accuracy, completeness, and consistency. - Pipeline Engineering: - Participate in designing, building, and maintaining data pipelines. - Implement data transformations, data cleansing, and ETL processes. - Collaborate with senior engineers to enhance pipeline efficiency. - Small Feature Development: - Take ownership of small features within the data pipeline. - Write code to handle data ingestion, processing, and storage. - Independent Project: - Lead a small independent project related to data engineering. - Choose a topic of interest (e.g., optimizing pipeline performance, automating data validation). - Present your findings and recommendations to the team. Qualifications - Current student pursuing a Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Business Analytics, Business Intelligence, or a related field. - Proficiency in SQL, Python, and PySpark. - Familiarity with Azure services such as Data Factory, Synapse, Databricks, and Azure Functions. - Experience with data integration using APIs. - Knowledge of data visualization tools (Power BI, Tableau). - Knowledge/Prior experience of Gen AI, ML concepts. - Ability to develop ML models independently. - Strong problem-solving abilities. - Ability to document business requirements effectively. - Excellent teamwork and communication skills. - Visual design skills are a plus. Benefits - Competitive compensation. - Generous 401(k) program in the US and similar programs in international. - Health benefits and programs that support both your physical and mental well-being. - Flexible work environment, depending on your role. - Meaningful opportunities to keep learning and growing. - Half-day Fridays, depending on your location.