<p>This role is part of a technical sub-family responsible for writing and maintaining source code, building and maintaining software applications, and applying frameworks involved in the software release lifecycle. This includes programming, documentation, configuration management, testing, debugging, and overall stewardship of applications and frameworks that become production-ready software products.</p><p>This role works independently on day-to-day objectives and is responsible for delivering high-impact results across projects or technical areas. This position may also coach and review work performed by junior or lower-level technical staff.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Analyze, design, develop, and update software to support new features and system performance improvements.</p><p>· Develop high-quality C++ applications in a Linux-based environment.</p><p>· Implement and maintain communication interfaces and protocols including TCP/IP, UDP, and DDS.</p><p>· Utilize Docker and Kubernetes (RKE2) for containerization, orchestration, and deployment automation.</p><p>· Collaborate closely with cross-functional engineering teams to support deployments and integrations.</p><p>· Apply strong understanding of Linux system internals for troubleshooting and development.</p><p>· Manage and maintain software source control and configuration using industry‑standard tools.</p><p>· Contribute to solution design discussions, influencing process and approach for the broader team.</p>
<p>This role supports a key Federal defense program and is responsible for developing, maintaining, and enhancing complex software applications and frameworks across the full software release lifecycle. This role requires expert-level technical proficiency, strong problem-solving abilities, and the ability to contribute to multiple technical domains concurrently.</p><p>This position works onsite in Arlington, VA, collaborating closely with an all-onshore engineering team. Ideal candidates will be able to quickly ramp up in a fast-paced environment and hit the ground running.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Analyze, design, develop, and update software for new features, system enhancements, and performance improvements.</p><p>· Write, maintain, and document high-quality C++ source code.</p><p>· Develop solutions for complex technical problems affecting multiple systems and disciplines.</p><p>· Implement and maintain communication interfaces using protocols such as TCP/IP, UDP, and DDS.</p><p>· Work within the Linux operating system at an advanced level.</p><p>· Support containerization and automated deployment using Docker and Kubernetes (RKE2).</p><p>· Collaborate across engineering, operations, and integration teams to support software deployments.</p><p>· Utilize software source control and configuration management tools.</p>
<p><strong>Data Modeling and Analysis</strong></p><ul><li>Design data models and optimize performance: Creating the structure of data relationships ensuring efficient data retrieval and calculations.</li><li>Create calculated columns and measures: Using DAX to calculate derived values and aggregate metrics.</li><li>Perform exploratory data analysis (EDA): Using BI tools to explore data, identify trends, and patterns.</li><li>Apply advanced data analysis techniques (e.g., statistical analysis, time series analysis, predictive modeling).</li><li>Integrate machine learning models into Power BI dashboards.</li><li>Experience building semantic models</li></ul><p><strong>Dashboard Development and Visualization</strong></p><ul><li>Designing dashboards: Creating visually appealing and interactive dashboards.</li><li>Creating visualizations: Using charts, graphs, and other visual elements to represent data.</li><li>Implementing interactivity: Adding filters, slicers, and drill-down capabilities.</li><li>Expertise in SQL and DAX and knowledge of Python, R.</li><li>Strong proficiency in Power BI.</li><li>Data modeling and visualization skills.</li><li>Strong problem-solving skills to address technical challenges and data quality issues.</li><li>Analytical skills with capacity to analyze complex data problems and draw meaningful insights.</li></ul>
<p>I’m building a world-class team to power our next generation of data products. We’re looking for a Senior Data Engineer who knows AWS inside and out—someone who can <strong>design secure, scalable data pipelines</strong>, <strong>own ETL/ELT workflows</strong>, <strong>engineer cloud data infrastructure</strong>, and <strong>deliver dimensional and semantic models</strong> that our analysts, data scientists, and applications can trust.</p><p>You’ll work closely with product, security, platform engineering, and analytics to move our architecture toward a <strong>real-time, governed, cost-aware</strong>, and <strong>highly automated</strong> data ecosystem.</p><p><strong>What You’ll Do</strong></p><ul><li><strong>Design & build end-to-end pipelines</strong> on AWS (batch and streaming) using services like <strong>Glue, EMR, Lambda, Step Functions, Kinesis, MSK</strong>, and <strong>Fargate</strong>.</li><li><strong>Develop robust ETL/ELT</strong> (PySpark, Spark SQL, SQL, Python) for structured, semi-structured, and unstructured data at scale.</li><li><strong>Own data storage & processing layers</strong>: <strong>S3 (Lake/Lakehouse), Redshift (or Snowflake on AWS), DynamoDB</strong>, and <strong>Athena</strong> with strong partitioning, compaction, and performance tuning.</li><li><strong>Implement data models</strong> (3NF, dimensional/star, Data Vault, Lakehouse medallion) for analytics and operational workloads.</li><li><strong>Engineer secure infrastructure-as-code</strong> with <strong>Terraform</strong> (or <strong>CDK</strong>) across multi-account setups; implement CI/CD via <strong>GitHub Actions</strong> or <strong>AWS CodeBuild/CodePipeline</strong>.</li><li><strong>Harden security & governance</strong>: use <strong>IAM</strong>, <strong>Lake Formation</strong>, <strong>KMS</strong>, <strong>Secrets Manager</strong>, <strong>VPC/PrivateLink</strong>, <strong>GLUE Catalog</strong>, and fine-grained access controls. Partner with SecOps on compliance (e.g., <strong>SOC 2</strong>, <strong>FedRAMP</strong>, <strong>HIPAA</strong> depending on dataset).</li><li><strong>Observability & reliability</strong>: build monitoring with <strong>CloudWatch</strong>, <strong>OpenTelemetry</strong>, and data quality checks (e.g., <strong>Great Expectations</strong>, <strong>Deequ</strong>), implement SLOs and alerts.</li><li><strong>Champion best practices</strong>: code reviews, testing (unit/integration), documentation, runbooks, and blameless postmortems.</li><li><strong>Mentor</strong> mid-level engineers and collaborate on architectural decisions, standards, and technical roadmaps.</li></ul><p><br></p>
<p>Robert Half is seeking an experienced UX Designer for a contract engagement with one of our leading healthcare clients. This role is ideal for a user‑experience professional who excels at translating complex healthcare workflows into intuitive, accessible, and patient‑centered digital experiences. You will collaborate closely with cross‑functional teams to improve usability, streamline digital interactions, and support the client’s mission of delivering high‑quality care.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><br></p><ul><li>Lead UX design efforts across web and mobile products, ensuring solutions align with healthcare user needs and regulatory requirements</li><li>Conduct user research, interviews, and usability testing to uncover insights and validate design decisions</li><li>Create wireframes, user flows, prototypes, and interaction models that support clear, efficient user journeys</li><li>Collaborate with product managers, developers, clinicians, and stakeholders to define requirements and refine concepts</li><li>Translate complex clinical or administrative processes into intuitive digital experiences</li><li>Ensure all designs follow accessibility standards and support inclusive user experiences</li><li>Present design recommendations and rationale to stakeholders in a clear, compelling manner</li><li>Contribute to design system enhancements and maintain consistency across digital touchpoints<strong></strong></li></ul>
<p><strong>Locations:</strong> Gaithersburg, MD • Eagan, MN • Egg Harbor, NJ</p><p><strong>Schedule:</strong> Hybrid (3 days onsite / 2 days remote)</p><p><strong>Clearance:</strong> Ability to obtain and maintain Public Trust (U.S. Citizenship required)</p><p><strong>Overview</strong></p><p>We are seeking a Junior Software Engineer with AI-enabled development experience to support a large-scale modernization program involving real‑time, high‑availability, safety‑critical systems. This role combines traditional software engineering with emerging AI‑augmented development techniques to enhance delivery, code quality, and system performance.</p><p>This position is ideal for engineers who actively apply AI in their day‑to‑day workflow and want to contribute to a mission-critical, complex engineering environment.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Design, develop, test, and maintain software for real-time, high-availability systems.</li><li>Use AI-assisted development tools to accelerate coding, refactoring, debugging, and automated test generation.</li><li>Apply responsible AI practices across the full SDLC — requirements, design, implementation, testing, documentation, and code review.</li><li>Analyze complex system requirements and translate them into efficient, maintainable designs.</li><li>Develop and maintain automation scripts across development, test, and production environments.</li><li>Promote code quality, reuse, traceability, and cross-team collaboration.</li></ul>