Bluestaq launched in 2018 in the heart of downtown Colorado Springs at Catalyst Campus. Within the historic train depot, our four founders created the prototype that launched the enterprise data management ecosystem we deliver today. We look at things with fresh perspectives, from our team-first culture to how we operate and execute your mission-critical data operations.
Our company was founded on the belief that data is any organization's strongest asset. Driven by this philosophy, we make it easier for our clients to store, manage, discover, and share their data confidently.
Our story starts in space. Our initial prototype was built for the US Space Force to support their Space Domain Awareness data. As our team has grown over the years, so have our capabilities. Today we serve a wide range of organizations across the private and public sectors, helping them to unify their data and make it their strongest strategic asset.
Named one of America's fastest-growing private companies in 2022 + 2023 by 'Inc 5000,' we are a diverse team united to drive business value for our clients by making their data their greatest competitive advantage!
Clearance Requirement: This position requires the ability to obtain a TS/SCI Clearance. To be eligible for a security clearance, US Citizenship is required, and an employee must agree to participate in a background screen and credit check.Relocation: This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense
Position Overview:As a Systems Engineer, Data Modeler, you will leverage expertise in healthcare information systems and medical data management to design, secure, and optimize data models and ontologies supporting defense health programs. You will work closely with stakeholders and system users to tackle complex data challenges, creating schemas and architectures aligned with FHIR 4+ standards. Your contributions will directly enhance healthcare delivery for military personnel and their families.Key Responsibilities:
Design scalable and agnostic data models supporting defense health missions.
Develop and integrate data schemas.
Analyze existing data models to drive future-ready solutions.
Enable interoperability and data accessibility across platforms.
Translate customer needs into actionable plans, user stories, and deliverables.
Provide technical guidance for planning and road mapping efforts.
Research and incorporate cutting-edge technologies to enhance system performance.
Collaborate across teams to improve system interoperability and usability.
Produce technical documentation, briefings, and reports to communicate progress.
Maintain proper documentation of data models, schemas, and processes to support version control and future scalability.
Establish and enforce data governance frameworks, including data security, privacy policies, and compliance with regulations such as HIPAA.
Work with software engineers, data scientists, and UX designers to implement and optimize end-to-end data pipelines.
Qualifications:
Experience: Minimum of 4 years in systems engineering and data modeling.
Domain Knowledge: Experience with healthcare information systems, medical data management, and electronic health records.
FHIR Expertise: Proficiency with FHIR v4+ data structures and formats.
Technical Tools: Experience with Atlassian tools (Jira, Confluence) and Agile/Scrum methodologies.
Communication: Exceptional ability to simplify and articulate complex ideas for various audiences.
Adaptability: Comfortable navigating ambiguity and dynamic environments with resilience and ownership.
Valued Experience
Experience with human performance and wearables data to develop data models that integrate real-time monitoring, analytics, and insights into decision-making platforms.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data storage and processing.
Expertise in UML, ER diagrams, and schema design for structured and unstructured data.
Knowledge of big data technologies like Hadoop, Spark, or Kafka for handling large datasets.
Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).