DataOps Engineer

Job Title: DataOps EngineerLocation: Remote / HybridDuration: 15 Months (Extension Possible)Only W2 ConsultantsProject OverviewInnovee’s public sector is modernizing its healthcare data infrastructure under the Rural Health Transformation initiative. This effort focuses on building a scalable, reliable data platform to improve insights into healthcare cost, quality, and access.The DataOps Engineer will lead the design and operationalization of data quality, governance, analytics, and DataOps capabilities.Key ResponsibilitiesDesign and implement DataOps frameworks supporting data quality, governance, and analyticsDevelop and manage data pipelines, validation processes, and monitoring/observabilityEstablish data quality rules, anomaly detection, and root cause analysis processesImplement statistical monitoring (SPC) and AI-driven anomaly detection techniquesDefine and maintain data lineage, cataloging, and governance standardsDevelop and support BI solutions, including dashboards and semantic models (Power BI)Monitor DataOps performance metrics (SLA, reliability, MTTR) and reportingCreate SOPs, runbooks, and support cross-functional collaboration and enablementRequired QualificationsExperience in Data Engineering, DataOps, or Data ScienceStrong knowledge of data quality, validation frameworks, and data governanceExperience with BI tools (Power BI preferred) and data modeling conceptsUnderstanding of statistical analysis and anomaly detection methodsExperience working in Agile environments (Azure DevOps preferred)Strong analytical, problem-solving, and communication skillsTechnical EnvironmentAzure DevOps, Azure Databricks, AWS Data Lake, Power BI, Power AutomatePreferred CertificationsAzure Data Engineer Associate, PL-300, Databricks Data Engineer, Azure AI Engineer, DAMA/CDMP, Scrum/SAFe