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YesterdaySaved
In-Office
Cleveland, OH, USA
Mid level
Mid level
Information Technology • Professional Services • Consulting • Cybersecurity
Designs, builds, and operates AWS-based data lakes and GenAI platforms for safety and mission assurance. Develops heterogeneous data pipelines, RAG and agentic workflows, APIs and MCP servers, identity integrations, evaluation and observability systems, and governance controls. Integrates AI capabilities with enterprise applications and Microsoft 365 while ensuring security, traceability, responsible AI, and regulatory compliance. Requires collaboration with technical and mission stakeholders and residence in the Greater Cleveland Area.
Top Skills: .NetAmazon BedrockApache AirflowSparkAWSAws GlueAws IamAws LambdaAws RdsAws Step FunctionsC#DbtDockerGitGitHugging FaceJwtKeycloakLangchainLanggraphLitellmLlamaindexMicrosoft 365Microsoft Entra IdMicrosoft Graph ApiModel Context ProtocolNode.jsOauth 2.0OidcOpentelemetryPythonPyTorchRest ApisScikit-LearnSharepointSQLTypescript
YesterdaySaved
In-Office
Crane, IN, USA
Mid level
Mid level
Information Technology • Professional Services • Consulting • Cybersecurity
Provides financial planning, budgeting, fund execution monitoring, reporting, trend analysis, and financial advisory support to NSWC Crane managers. Reviews expenditures, allocates funds, researches unliquidated obligations, calculates burn rates, prepares labor reports, supports de-obligations, and uses ERP and Defense Travel System tools. Requires strong Excel and analytical skills, the ability to obtain a Secret clearance, and U.S. citizenship.
Top Skills: Defense Travel SystemErpExcelMicrosoft Office SuitePivottables
YesterdaySaved
In-Office
Crane, IN, USA
Mid level
Mid level
Information Technology • Professional Services • Consulting • Cybersecurity
Manages enterprise databases, data repositories, reporting systems, dashboards, and business intelligence tools for NSWC Crane. Responsibilities include database administration, data governance, data quality, systems configuration, reporting, statistical analysis, technical documentation, user training, and support for data science and machine learning initiatives. The role develops data models, business systems analyses, automated workflows, performance reports, and recommendations while collaborating with stakeholders to improve data-driven decision-making and operational efficiency.
Top Skills: .NetErp SystemsMachine LearningMicrosoft AccessExcelPower BIPythonRSharepointSQLSQL ServerTableau
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