• Collaborate with team members to define requirements and translate them into scalable data models and pipelines. • Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases. • Work with raw data and transform it into structured, usable formats for analytics and reporting. • Build and optimize SQL-based data models using dbt and other ETL tools. • Identify and implement improvements in data delivery, processing performance, and system efficiency. • Contribute to the team’s technical vision and bring innovative solutions to enhance data systems. • Partner with data engineering teams to drive standardization and consistency of product data modeling, schemas and insights reporting across the entire company.

Role Description SAIC is searching for a motivated, career and customer-oriented Sr. AWS Data Engineer who will lead the next phase of our healthcare data platform modernization. This role is central to our evolution from an MSSQL XML object store toward a scalable, cloud-native AWS data architecture — one that enables business stakeholders and analysts to run performant, SQL-based reports and queries against our healthcare data seamlessly. This person will help evaluate and decide the right AWS data strategy for our platform. This is a 100% Remote role. - Evaluate and recommend the optimal AWS-native data storage and query architecture for our XML object store data — assessing options such as S3 + Athena, Aurora, DynamoDB, Redshift, and OpenSearch based on query patterns, reporting needs, cost, and scalability. - Design and build the reporting and query layer that allows business stakeholders and non-technical users to run relational SQL queries against healthcare data using familiar tooling. - Architect the migration path for XML object store data from MSSQL into the target AWS platform, defining storage formats, partitioning strategies, and data organization for optimal query performance. - Build and maintain AWS data catalog, schemas, and metadata management so that object store data is discoverable and queryable by business users. - Optimize query performance and cost across chosen AWS services — partitioning, compression, file formats, and query pattern tuning. - Work directly with business stakeholders and analysts to understand reporting requirements and translate them into durable, performant data models and query patterns. - Collaborate with backend C#/.NET engineers to ensure data flows cleanly from EDI processing pipelines into the new data layer. - Implement and maintain CI/CD pipelines for data infrastructure using AWS-native tooling (CodePipeline, CodeBuild, CodeDeploy). - Apply infrastructure as code (IaC) practices using AWS CDK, CloudFormation, or Terraform. - Document architecture decisions, data flows, and data dictionaries clearly for both technical and non-technical audiences. Company Description SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com . For ongoing news, please visit our newsroom .

Role Description The Oncology Data Specialist is responsible for accurately reporting detailed information from the electronic medical record into the registry software system. Will ensure compliance with State, national and client specific data reporting. Performance of case finding, follow-up, cancer conferences/tumor board, and reporting may be other job duties. - Perform daily abstraction of cancer cases into the cancer registry database. - Responsible for running and resolving EDIT’s prior to submission of cases to the State Central Registry and NCDB. - Utilize CoC and State Cancer Registry data standards and coding instructions to determine all reportable cases. - Abstract cases completely, whenever possible. In cases where complete treatment data is not available, request this information from the managing physician. - Abstract cases within six months from the date of first contact. - Maintain a log to document the abstraction of all records as well as non-reportable cases. - Submit cases to the State Central Registry, if requested. - Process case finding, follow-up and other registry duties. - Maintain the suspense system, if required. - Enter follow-up and/or update information on patients who have been re-admitted to the hospital following the completion of an abstract. - Perform duties in compliance with Company’s policies and procedures, including but not limited to those related to HIPAA and compliance. - Maintain a knowledge base of ICD-O, AJCC Cancer Staging Manual, Hematopoietic and Lymphoid Database and Manual, SEER Coding and Staging Manual, Collaborative Staging, SEER Multiple Primaries and Histology’s, SEER Rx Database and Facility Oncology Data Standards. Qualifications - Knowledge of cancer and its management, medical terminology, anatomy and physiology, biostatistics and epidemiology, cancer data abstracting, database record management, cancer program management, and cancer registry procedures. - Ability to prioritize and multi-task in a fast-paced, changing environment. - Demonstrate ability to self-motivate, set goals, and meet deadlines. - Maintain courteous and professional working relationships with employees at all levels of the organization. - Demonstrate excellent analytical, critical thinking and problem-solving skills. - Attention to detail, time management and excellent communication in written and spoken word. - Adherence with both client and Omega specific quality and productivity standards, and detail specific data abstraction. - Skill in operating a personal computer and utilizing a variety of software applications. - Knowledge of Joint Commission, abstracting compliance and HIPAA-HITECH standards affecting medical records and the impact on reimbursement and accreditation. Requirements - A minimum of three years of oncology data abstracting experience and have abstracted within the past year. - Oncology Data Specialist-Certified (ODS-C), required. - Registered Health Information Administrator (RHIA) or Registered Health Information Technologist (RHIT), preferred. Work Environment - This job operates in a remote home office environment. - This role routinely uses standard office equipment such as computers and phones. Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. - Occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; and talk or hear. - Must occasionally lift or move up to 25 pounds. - Specific vision abilities required include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Position Type/Expected Hours of Work This is a full-time position. Days and hours of work are generally Monday through Friday, 8:00 a.m. to 5 p.m. This position occasionally requires long hours and weekend work. Travel Travel may be required dependent on the client’s needs. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Employee may perform other duties as assigned.

Role Description CORMAC is seeking a Data Architect to be responsible for designing, implementing, and governing the enterprise data architecture for a cloud-based CMS program supporting large-scale data ingestion, transformation, analytics, metadata management, and user access through platforms including Databricks, online portals, and metadata catalog solutions. Ensures data is structured, secured, governed, and optimized to support reporting, analytics, interoperability, and regulatory compliance across the enterprise. This position will be tasked with helping in the delivery of solutions for our clients so we are seeking a hands-on technical leader with broad technical experience and deep, narrowly focused data expertise (e.g. data analytics, data engineering, Cloud, etc.). - Design and maintain enterprise data architecture for structured, semi-structured, and unstructured data across cloud-based platforms and data lake/lakehouse environments - Define data models, data standards, naming conventions, and master data management strategies to support enterprise-wide consistency and scalability - Architect data ingestion, ETL/ELT pipelines, transformation workflows, and integration patterns across internal and external data sources - Support and optimize data platforms leveraging Databricks for analytics, reporting, and advanced data engineering use cases - Design metadata management, data lineage, and catalog strategies to improve data discovery, governance, stewardship, and compliance - Collaborate with business stakeholders, system architects, data engineers, and governance teams to align data architecture with business requirements and program goals - Establish data quality frameworks, validation rules, and monitoring processes to improve data integrity and reliability - Define data security architecture including access controls, data classification, encryption, retention, and auditing requirements - Ensure compliance with CMS, federal, and healthcare data standards including HIPAA, FISMA, NIST, and interoperability requirements - Support API integrations, reporting platforms, self-service analytics, and secure data delivery through user portals and enterprise applications - Develop architecture diagrams, logical and physical data models, data dictionaries, and technical design documentation - Lead data architecture reviews and support modernization efforts for cloud migration and platform optimization Qualifications - Bachelor's degree in computer science/engineering related or equivalent degree - 8+ years of experience in Information Technology (IT) and the software development lifecycle (SDLC) - Experience with Databricks architecture, data engineering workflows, and secure analytics environments - Innovative and forward-thinking IT leader with deep knowledge of industry trends - Strong experience designing enterprise data architecture in cloud environments (AWS, Azure, or GCP) - Expertise in data modeling, data governance, metadata management, and master data management - Strong knowledge of data lake, data warehouse, and lakehouse architecture patterns - Experience with Databricks, SQL, Spark, ETL/ELT frameworks, and enterprise reporting platforms - Strong knowledge of healthcare data standards, security controls, and regulatory compliance requirements - Experience with performance optimization, data quality management, and enterprise integrations - Strong communication and stakeholder management skills Preferred Skills & Experience - Master’s degree in Computer Science/engineering related or equivalent degree - Experience building or maintaining ETL processes - Experience supporting Centers for Medicare & Medicaid Services or other federal healthcare programs - Certifications such as AWS Data Analytics, Azure Data Engineer, TOGAF, CDMP, DAMA, or cloud architecture certifications - Familiarity with Snowflake, AWS Glue, Informatica, Tableau, Power BI, Amazon QuickSight, or enterprise data governance tools - Experience working remotely using collaboration tools such as, but not limited to MS Teams, SharePoint, Slack, etc. - Skilled in managing software development life cycles using Agile/Scrum Project Management frameworks Location Leesburg, VA Work Arrangement 100% Remote Why CORMAC? At CORMAC, we leverage the power of data management and analytics to enable our customers to achieve their strategic goals. With over 20 years of experience in health information technology (HIT), human-centered design principles, and Agile development methodologies, CORMAC delivers complex digital solutions to solve some of the most challenging problems facing public healthcare programs today. As a US Federal Government contractor in the public healthcare sector, our work is impactful and cutting-edge while being performed in a supportive, collaborative, and welcoming environment. We offer flexible work schedules with remote, hybrid, or fully in-person workplace options to empower our employees to decide the workplace most suitable for them. At CORMAC, we have a highly diverse workforce and believe a work environment is a place where creativity, collaboration, enthusiasm, and innovation happen, regardless of location. US Citizenship Required /E-Verify Participation/EEO As an Equal Employment Opportunity employer, CORMAC provides equal employment opportunity to all employees and applicants without regard to an individual's protected status, including race/ethnicity, color, national origin, ancestry, religion, creed, age, gender, gender identity/expression, sexual orientation, marital status, parental status, including pregnancy, childbirth, or related conditions, disability, military service, veteran status, genetic information, or any other protected status.