Data Infrastructure EngineerThe Data Infrastructure Engineer will support the design, development, and maintenance of enterprise data infrastructure supporting complex business and engineering operations. This role focuses on building scalable data pipelines, managing data accessibility, supporting analytics initiatives, and ensuring data integrity across large datasets and interconnected systems.The ideal candidate will have experience with enterprise data environments, analytics tools, cloud platforms, and cross-functional collaboration in fast-paced technical organizations.Key ResponsibilitiesDesign, build, and maintain enterprise data infrastructure including databases, data warehouses, and data pipelinesCollect and integrate data from multiple sources including databases, APIs, and enterprise systemsDevelop efficient data pipelines that transform raw data into dashboards, reports, and actionable insightsEnsure data is stored securely, efficiently, and remains accessible for analysis and reportingImplement data validation and quality control processes to ensure data accuracy, consistency, and reliabilityOptimize data pipelines and infrastructure for speed, scalability, and overall performanceCollaborate with data scientists, analysts, engineering teams, and business stakeholders to support operational and analytical requirementsTroubleshoot data infrastructure issues and perform ongoing system monitoring and maintenanceSupport configuration control, documentation, and change impact analysis for enterprise data architecture modelsIdentify and manage Authoritative Sources of Truth (ASOT) databases and associated integrationsSupport data replication and transformation activities within Midas and AWS cloud environments through Power BI and related technologiesDevelop and document data models and process flows supporting current-state business operationsAssist with requirements development for enterprise data collection and utilization strategiesTranslate complex data into meaningful recommendations and actionable business insightsRequired QualificationsBachelor's degree in Data Management, Data Science, Mathematics, Statistics, or related fieldMinimum 6 years of relevant experienceExperience designing and supporting enterprise data infrastructure and data pipelinesStrong analytical and problem-solving skillsKnowledge of probability, statistics, applied mathematics, mathematical programming, network analysis, queuing theory, and economic evaluationProficiency with:Power BISQLOracleAWS / AWS RedshiftSSASVisual BasicMS ExcelMATLAB / SimulinkMathcadMagicDrawMidasAlationDataikuFamiliarity with Atlassian Jira and/or ServiceNowExperience with server usage, support, and troubleshootingExperience developing data models and process flowsAbility to work effectively in cross-functional team environmentsAbility to independently research, analyze, and develop solutions to complex problemsStrong organizational skills with the ability to manage multiple priorities in a fast-paced environmentExcellent written and verbal communication skillsStrong attention to detail and ability to work independentlyWorking knowledge of technical standards, architectures, methodologies, and enterprise data conceptsPreferred QualificationsMaster's degree in Mathematics, Statistics, Engineering, Business, Applied Sciences, Management Information Systems, or related discipline10+ years of relevant experienceExperience with structured problem-solving methodologiesExperience supporting engineering organizations or development teamsKnowledge of Agile methodologies and associated reporting metrics1+ years of Scrum or Agile management experienceKnowledge of technical systems and requirements related to combat vehiclesWork EnvironmentCollaborative technical environment supporting enterprise analytics and engineering operationsCross-functional interaction with engineering, analytics, IT, and operational teamsFocus on enterprise-scale data accessibility, reporting, and digital transformation initiativesPR: $60.75/hrEOE (including Disability/Veterans)