• Collaborate with product managers, designers, infrastructure teams, and other stakeholders to develop data management strategy. • Build and maintain data pipelines that clean, transform, and aggregate data from disparate sources. • Build and maintain Tableau dashboards and custom reports. • Create and maintain technical documentation, including system design, APIs, usage guidelines, and best practices. • Identify and address performance bottlenecks across the entire application. • Identify architecture, design, and operational improvements to existing applications.

• 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.