Job/Position DescriptionThe Fraud Analytics unit within the Data Reviews Division of the Office of Inspector General (OIG) is responsible for performing innovative and advanced data analytics to detect fraud, waste and abuse in state health and human services programs such as Medicaid, the Childrens Health Insurance Program (CHIP), Supplemental Nutrition Assistance Program (SNAP) and Temporary Assistance for Needy Families (TANF) by supporting data-driven investigations, reviews, audits, and inspections.Fraud Analytics seeks a motivated and talented Lead Data Engineer (Data Architect I) to contribute to the Fraud Analytics unitand#146;s efforts to develop and implement algorithms, artificial intelligence/machine learning (AI/ML) models, and predictive analytics to generate insights and actionable leads to identify and respond to risks of fraud, waste, and abuse. This position reports to the Deputy Inspector General of Fraud Analytics and works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. The Lead Data Engineer will work closely with Fraud Analytics data analysts and data scientists and will liaison and collaborate closely with the HHS Office of the Chief Data Architect and technology vendors.The Lead Data Engineer will play a pivotal role in establishing and leading the data engineering efforts to support the Fraud Analytics team. This position will be responsible for designing, implementing, and maintaining scalable data pipelines, ensuring data quality and governance, and enabling advanced analytics capabilities for the OIG to support data-driven decision-making processes. The position will perform advanced data extract, transformation, and loading (ETL) work in support of the teamand#146;s work in developing and deploying algorithms and models that identify data trends, patterns, and anomalies. The Lead Data Engineer will also support data quality and data validation initiatives. * This position can telework 100% from and OIG location within Texas consistent with HHS telework policies. *Essential Job FunctionsAttends work on a regular and predictable schedule in accordance with agency leave policy and performs duties as assigned:1. Designs, builds, and manages efficient, scalable, and reliable data pipelines to support ETL processes and data integration efforts; Extracts data from multiple sources and loads into a data warehouse, data store or other system to support analytics and data science use cases. Develops pipeline code and sets standards for related metadata management. Manages the data pipeline continuous integration and continuous delivery (CI/CD) processes. Manages data pipeline jobs throughout their lifecycle. Supports the task of deploying analytics and data science outputs into existing processes, applications, and dashboards. Develops and maintains a robust data architecture that supports the needs of data analysts and scientists, while ensuring security and compliance standards are met. (60%)2. Leads the creation, implementation, and documentation of best practices and standards for data engineering within the Office of Inspector General. Works closely with data analysts, scientists, and other stakeholders to understand their data requirements and deliver the necessary data infrastructure and resources. Implement processes and tools to monitor, validate, and ensure the accuracy and integrity of data used for analysis. Assists in the identification and integration of potential new data sources. (20%)3 https://jobshrportal.hhsc.state.tx.us/ENG/CareerPortal/job_profile.cfm?szOrderID=602405 Copy the URL in the preceding sentence to an Internet Explorer browser to apply to the job directly through the Texas Health and Human Services Career Portal.