Intertwine Associates

Data Engineer

• Develop production-grade ETL workflows using Python and Microsoft-based frameworks
• Ingest, transform, and validate structured and unstructured data
• Implement schema enforcement, data validation, and quality checks
• Support Azure Data Lake Storage, Azure SQL, and Azure-based data services
• Design workflow orchestration using Azure Data Factory or Microsoft Fabric / Foundry
• Build Python-based data services using Pandas, PyTorch, TensorFlow, and related libraries
• Develop API endpoints and microservices for analytics and ML platform interoperability
• Implement logging, monitoring, performance tuning, and operational reliability
• Collaborate with client data scientists, analysts, architects, and governance teams
• Apply data governance best practices for compliance, reproducibility, and auditability
• Support a federal agency or other client's enterprise data management environment
• Represent Intertwine Associates and the client with professionalism, responsiveness, and sound judgment

AI/Data Engineer, Mid-Level – Python, Azure Data, ML Pipelines

Engineer

• Support federal agencies and other clients across synthetic biology, bioengineering, and life sciences
• Collaborate with government program managers, agency leadership, and client teams to shape research initiatives
• Support the development, funding, and management of R&D programs
• Provide direct technical support to R&D performer teams, program managers, and innovation-ecosystem stakeholders
• Apply technical expertise to emerging technologies in translation, manufacturability, regulatory constraints, and biosecurity contexts
• Provide technical and strategic support across genetic circuit and cell engineering, engineered cell therapies, gene editing, nucleic acid therapeutics and delivery, protein engineering and directed evolution, cell-free systems, microbial engineering and biomanufacturing, and AI-driven biological design
• Conduct landscape analyses and technical diligence on emerging capabilities, vendors, performers, and scientific trends
• Advise on scientific plausibility, feasibility, manufacturability, and adoption potential
• Assess scale-up, process development, quality and GMP considerations, regulatory strategy, supply chain, and adoption barriers
• Review technical proposals, performer submissions, milestones, deliverables, and program risks
• Provide feedback, organize reviewer comments, and draft recommendations, project summaries, and presentation materials
• Identify subject-matter experts, potential performers, test and evaluation partners, and transition stakeholders
• Assist with program management, technical meetings, site visits, performer progress tracking, schedule-risk identification, and briefing materials
• Maintain awareness of scientific, regulatory, biosecurity, and market developments
• Interface directly with government program managers, agency or client leadership, performer teams, and external stakeholders
• Represent Intertwine Associates and clients with professionalism, responsiveness, and sound judgment

Senior Scientist / Engineer – Synthetic Biology, Bioengineering

• Architect and lead delivery of enterprise data platforms and pipelines on Azure or equivalent cloud services
• Set standards for ETL design, schema enforcement, data validation, quality checks, and data lineage
• Review other engineers' work against established standards
• Design, build, and deploy machine learning and AI solutions, including large language model applications, retrieval-augmented generation, document understanding, and agentic workflows
• Implement evaluation and guardrails for AI solutions
• Build secure API endpoints and microservices for analytics and ML platforms
• Establish MLOps practices including experiment tracking, model registries, CI/CD, containers, monitoring, and cost and performance tuning
• Apply data and AI governance for compliance, reproducibility, auditability, and responsible AI
• Apply federal frameworks such as the NIST AI Risk Management Framework
• Translate mission and business needs into technical roadmaps, estimates, and client leadership briefings
• Work directly with client program leadership, architects, data scientists, and governance teams
• Advise on technical direction and represent Intertwine Associates and clients professionally
• Mentor engineers and data scientists
• Lead technical work across multidisciplinary teams

AI/Data Engineer, Mid-Level – Python, Azure Data, ML Pipelines

Senior Scientist / Engineer – Synthetic Biology, Bioengineering

Senior AI/Data Engineer, Data Platforms, Machine Learning, Applied AI