• Diseñar, desarrollar y optimizar pipelines de datos batch y streaming. • Modernizar y mejorar los procesos ETL existentes, implementando cargas incrementales y flujos escalables. • Modelar datos siguiendo la Arquitectura Medallion (Bronze/Silver/Gold). • Gestionar datos en el ecosistema Databricks Lakehouse: Unity Catalog, Delta Lake y estándares del entorno. • Asegurar calidad, gobernanza y consistencia de los datos dentro de los dominios asignados. • Documentar procesos y preparar una transferencia fluida al equipo interno del cliente. • Colaborar con el Product Owner y otros stakeholders para traducir requisitos funcionales en soluciones técnicas. • Participar en revisiones de código y seguir buenas prácticas de desarrollo, CI/CD y versionado.

Role Description SoftDev Incorporated is seeking a Data Engineer / ETL Specialist to support the Medicare Health Outcomes Survey (MHOS) Analysis project for the Centers for Medicare & Medicaid Services (CMS). This role is responsible for designing, developing, and maintaining secure, automated data pipelines that support large-scale survey and analytic datasets used to measure quality and performance across Medicare Advantage (MA) and related programs. The ideal candidate has strong experience with ETL development, system integration, and operating within CMS security and compliance requirements. - Design, develop, and maintain automated ETL pipelines to ingest, transform, validate, and load MHOS and related datasets from multiple secure sources. - Implement secure data ingestion processes in compliance with CMS, HHS, and federal security and privacy requirements (PHI/PII handling). - Support integration of MHOS data with other CMS datasets and analytic environments to enable longitudinal and recurring analyses. - Apply version control and configuration management to ETL code, data transformations, and analytical artifacts to ensure reproducibility and auditability. - Collaborate with statisticians, research analysts, and QA staff to ensure data readiness, completeness, and consistency for analytics production cycles. - Monitor, troubleshoot, and optimize data pipelines to meet fixed CMS timelines and peak processing demands. - Support documentation of data flows, ETL logic, data dictionaries, and technical specifications for CMS review and approval. - Ensure all work is performed within CMS-authorized, FISMA-moderate environments, adhering to CMS security, privacy, and governance standards. Qualifications - Bachelor’s degree in computer science, information systems, data engineering, or a related technical field (or equivalent experience). - Demonstrated expertise developing and maintaining ETL pipelines and automated data workflows for large, complex datasets. - Experience with secure data ingestion and system integration, preferably in a federal or regulated environment. - Proficiency with data engineering tools and technologies (e.g., SQL, Python, ETL frameworks, scripting languages). - Experience using version control systems (e.g., Git) and following disciplined configuration. - Strong problem-solving, analytical, and documentation skills. Requirements - Experience supporting CMS, Medicare Advantage, or other federal health analytics programs. - Familiarity with survey data, longitudinal datasets, and health quality measurement programs. - Experience working in a CMS-authorized or FISMA-moderate environments, including adherence to CMS security and privacy policies. - Exposure to cloud or hybrid data environments used for federal analytics (e.g., AWS in a CMS-approved context). Benefits - SoftDev is a Woman-Owned Small Business with more than 25 years of experience supporting CMS and HHS agencies. - Our team is mission-driven, collaborative, and committed to delivering high-quality analytics that improve health outcomes and inform national policy. - Joining SoftDev means contributing to impactful federal programs like MHOS while working in a supportive, flexible, and values-driven environment.

• Implementation of low-latency, high volume, resilient data solutions. • Design scalable distributed systems. Make architectural trade-offs applying synchronous and asynchronous design patterns. • Orchestrate large cross-functional projects. • Advancement of data governance and data democratization. • Utilization of Azure environment components like Functions and Synapse. • Lead and mentor junior team members. • Contribute to strategic planning. • Help document system designs. • Drive the continuous improvement of data processes and systems.

• Lead Data Engineer