Role Description Red Pulley Technology Solutions, Inc. is seeking a Data Strategist to support the ICE Health Service Corps (IHSC) Health Information Technology Unit (HITU) Enterprise Health IT Staffing and Professional Services Support program. This role supports IHSC's mission to modernize its health IT environment through evidence-based decision-making, enterprise data governance, and analytics planning across a nationwide healthcare delivery network. The Data Strategist will bridge technical analytics capability with executive priorities, ensuring IHSC data assets are accurate, usable, secure, and aligned with mission outcomes. This role provides strategic oversight and coordination support for data migration, legacy clinical data integration, and clinical viewer transition efforts associated with the HITU IT modernization program. This position follows a remote delivery model supporting IHSC/HITU, consistent with current program operations. - Location: Washington, DC Metro Area (Remote) - Clearance: Public Trust - Preliminary and Complete Fitness Determination Required - Employment Type: Full-Time - Status: Contingent Upon Contract Award Qualifications - Bachelor's degree in Information Management, Computer Science, Data Science, or related discipline - Minimum of 8 years of experience in data strategy or enterprise data management - Expertise in enterprise data strategy, data governance frameworks, metadata management, and data architecture design for large-scale federal health IT environments - Proficiency in developing and implementing data policies, standards, and roadmaps aligned with organizational mission objectives - Demonstrated experience supporting data quality, standardization, and metadata management initiatives - Strong analytical, facilitation, and strategic communication skills - Ability to collaborate with stakeholders across clinical, technical, and executive levels to identify data requirements and analytics use cases - Ability to advise leadership on data-driven insights and performance metrics Requirements - Master's degree in a relevant field - Certified Data Management Professional (CDMP) or equivalent certification - Prior experience in federal health IT or regulated healthcare data environments - Experience supporting data migration, legacy clinical data integration, or EHR/clinical system transition efforts - Experience with enterprise data integration and analytics architecture in a federal or DHS/ICE environment Key Responsibilities - Develop and support IHSC data strategy, governance frameworks, and analytics roadmaps - Collaborate with stakeholders to identify data requirements and analytics use cases - Support data quality, standardization, and metadata management initiatives - Provide guidance on enterprise data integration and analytics architecture - Support reporting and dashboard development in coordination with HITU Data Analysts - Advise leadership on data-driven insights and performance metrics - Ensure compliance with data privacy, security, and governance requirements - Provide strategic oversight and coordination support for data migration and legacy clinical data integration efforts tied to HITU IT modernization Benefits - Competitive compensation aligned with experience and market conditions - 401(k) retirement plan with company matching to support long-term financial security - Comprehensive health coverage, including medical, dental, and vision insurance - Health Savings Account (HSA) and Flexible Spending Account (FSA) options - Life insurance coverage for added peace of mind - Generous paid time off (PTO) to support work-life balance - Parental leave for growing families - Professional development assistance, including training and certification support - Tuition reimbursement to encourage continued education and career advancement

Role Description The Software/Data Engineer develops, integrates, and sustains software applications, databases, data collection platforms, and interoperability solutions supporting military hearing research, public health initiatives, and clinical implementation programs. Remote (U.S.) with occasional travel. Responsibilities - Design, develop, test, and maintain software applications. - Develop and maintain databases and data collection systems. - Support interoperability between healthcare and operational systems. - Design automated workflows and reporting solutions. - Develop APIs and interfaces supporting clinical and research applications. - Support software lifecycle management activities. - Implement cybersecurity controls and compliance requirements. - Support analytics, data visualization, and business intelligence initiatives. - Prepare technical documentation and user guides. - Support evaluation and deployment of emerging technologies. Qualifications - Possess excellent written and verbal communication skills. - Possess knowledge of Microsoft Office applications. - Possess excellent ability to manage multiple tasks with competing deadlines. - Bachelor's degree in Engineering, Computer Science, Information Systems, or related field preferred, or equivalent experience. - Minimum two (2) years of software engineering, systems engineering, or data engineering experience. - U.S. Citizenship required. - Ability to obtain and maintain a favorable Government suitability determination. - Ability to obtain and maintain SECRET clearance if required. Preferred Qualifications - Experience supporting DHA, DoD, VA, or federal healthcare systems. - Experience with healthcare interoperability standards including HL7 and FHIR. - Experience with SQL Server, PostgreSQL, MySQL, or enterprise databases. - Experience supporting MHS GENESIS, DOEHRS-HC, ECAA, JHASIR, or similar systems. - Experience developing research data collection platforms. - Experience with Azure, AWS, or cloud-hosted environments. - Experience developing analytics dashboards and reporting tools. - Experience implementing automation, AI-assisted processes, or machine learning solutions. - Familiarity with NIST 800-171, DFARS 252.204-7012, and DoD cybersecurity requirements. - Experience supporting geographically dispersed teams, hybrid work environments, remote operations, or nationwide field activities. - Preferred candidates will have current or prior experience supporting the Defense Health Agency (DHA), Hearing Center of Excellence (HCE), National Military Audiology and Speech Pathology Center (NMASC), Defense Centers for Public Health (DCPH), Military Health System (MHS), Veterans Health Administration (VHA), military treatment facilities (MTFs), hearing conservation programs, auditory readiness initiatives, or other military health and public health programs. Benefits - The salary range for this position is $110,000.00 to $145,000.00 annually. - Competitive base salary commensurate with qualifications and experience. - Comprehensive benefits package, including medical, dental, and vision insurance. - 401(k) plan with company matching. - Tax-deferred savings options. - Supplementary benefits. - Paid time off. - Professional development opportunities.

Role Description We are looking for a Principal Data Engineer to lead our Document Intelligence initiatives as a core member of our research and engineering organization. This is a high-impact individual contributor and technical leadership role focused on advancing the state of machine learning, Data Science, NLP, and intelligent document processing within our platform. You will work closely with product, data, and engineering teams and the CTO to design systems that turn unstructured document data into actionable intelligence — at scale. Key Responsibilities - Lead research and engineering efforts in document intelligence, including OCR post-processing, document classification, information extraction, and layout understanding. - Design and implement scalable machine learning pipelines and data architectures that support document AI workloads in production environments. - Define the technical vision and roadmap for document intelligence capabilities across the organization. - Collaborate with cross-functional teams to translate business requirements into ML system designs, model architectures, and data platform decisions. - Evaluate, adapt, and extend state-of-the-art NLP and vision-language models for document understanding tasks. - Establish best practices for ML experimentation, model versioning, evaluation, and deployment (MLOps). - Mentor and provide technical guidance to engineers and researchers across the team. - Drive data architecture decisions that support both model training pipelines and downstream analytics and reporting needs. - Publish or present research findings internally and, where appropriate, externally. Qualifications - 10+ years of professional experience in R&D, machine learning, applied research, or data engineering. - Deep expertise in Document Intelligence — including OCR, document parsing, layout analysis, information extraction, and classification. - Strong data architecture background, including experience designing data lakes, feature stores, and ML data pipelines. - Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, HuggingFace Transformers, etc.). - Experience taking ML models from research and prototyping through to production deployment at scale. - Solid understanding of NLP fundamentals and modern large language/vision-language model architectures. - Experience with cloud-based ML platforms and infrastructure (AWS, GCP, or Azure). - Strong written and verbal communication skills — ability to convey complex technical concepts to both technical and non-technical stakeholders. Preferred - PhD or Master's degree in Computer Science, Machine Learning, Computational Linguistics, or a closely related field. - Experience with document AI frameworks such as LayoutLM, Donut, PaddleOCR, Amazon Textract, or similar. - Publications or contributions to peer-reviewed research in NLP, computer vision, or document understanding. - Familiarity with enterprise document workflows — AP automation, contract processing, medical records, or similar domains. - Prior experience in a principal, staff, or lead engineer capacity with ownership over a technical domain.

• Write traditional code and server-less functions using the language best suited for the task, which is primarily Scala. May include development with C# and SQL. • Build APIs, data microservices and ETL pipelines, to share data with internal and external partners and write interfaces to public data sets to enrich our analytics data stores. • Develop and optimize processes for fine-tuning large language models (LLMs) and implementing Retrieval-Augmented Generation (RAG) frameworks to enhance AI-driven solutions. • Participate in building and owning a culture of DevOps and Quality Assurance. • Continuously document your code, framework standards, and team processes. • Build and support Data Ingestion frameworks deployed in Azure. • Other duties and responsibilities as assigned.