Top Tech Jobs & Startup Jobs

Design, build, and operate scalable cloud-native data pipelines and data lake/fabric architectures for Revenue Cycle Management. Implement ETL/ELT, integrate structured and unstructured sources and APIs, ensure data quality, lineage, and governance, and support AI/ML and analytics workloads with CI/CD and DevOps practices.

Leads enterprise data migration and modernization programs, including strategy, governance, system rationalization, migration wave prioritization, data quality, Databricks execution, testing, stabilization, and operational transition. Coordinates multidisciplinary stakeholders, advises executives, manages delivery roadmaps and resource models, and establishes repeatable standards, metrics, decision gates, and rollout processes.

Lead planning, execution, and delivery of technical projects across data, analytics, and system implementation. Coordinate stakeholders and technical teams, define scope, timelines, budgets and resources, run Agile ceremonies, track risks/issues, translate business needs into technical tasks, provide executive status updates, ensure governance and quality, and support change management and user adoption.

Develop dashboards, visualizations, and executive reporting to analyze programmatic and policy data. Validate metrics, maintain data quality, coordinate with stakeholders, and support data literacy through training and documentation.

Perform advanced fraud and cybersecurity analytics: analyze large structured and unstructured datasets, develop and test detection logic and predictive models, conduct investigative/forensic analysis, support ETL and data quality, create dashboards and reports, collaborate with stakeholders, and participate in incident response. Work onsite at client location in Lanham, MD.

Perform fraud analytics and investigative support: analyze transaction and log data to identify anomalies and trends, support detection logic and ETL/data quality, produce reports and dashboards, assist forensic and investigative activities, document methodologies, and collaborate with stakeholders. Work onsite in Lanham, MD full time and maintain required clearance.

Guidehouse is seeking a Data Scientist to collect and analyze data, develop visualizations, ensure data governance, and support decision-making for large-scale programs within DHS.

Support fraud analytics operations by performing data review, cleanup, basic analysis, documentation, reporting, and project support. Prepare meeting notes, trackers, briefings, and follow established procedures while coordinating with team members to ensure timely delivery.

Lead data management, visualization, and reporting for DoS Political‑Military Affairs Security Assistance accounts. Build dashboards, automate reporting, transform data, and support interagency coordination to inform executive decision‑making.

Supports federal financial management modernization by assessing systems and processes, documenting inventories and data flows, analyzing total costs and capability gaps, developing requirements and roadmaps, preparing governance materials, tracking risks and metrics, and creating procedures, training, and knowledge-transfer documentation.