Job description

Description: Job Summary Softech Inc. is seeking a highly skilled and motivated Developer Lead to drive data engineering, analytics, and DevOps initiatives in the Public Behavioral Healthcare domain. This full-time, on-site role in Columbia, Maryland involves leading the design, development, and deployment of data solutions using SQL Server, Python, Data Warehousing, and modern Data Lake architectures, with a strong emphasis on data preparation, presentation, and AI integration. Key Responsibilities • Lead the development and maintenance of scalable data pipelines and ETL processes using SQL Server and Python. • Design, implement, and optimize Data Warehouse solutions to support analytics and reporting needs. • Architect and manage Data Lake solutions for structured and unstructured data ingestion. • Develop data preparation workflows for analytics, reporting, and AI model training. • Create dashboards and visualizations using tools like Power BI, Tableau, or Python-based visualization libraries. • Collaborate with data scientists and AI engineers to integrate predictive models and machine learning solutions into operational workflows. • Implement and maintain DevOps practices including CI/CD pipelines, infrastructure as code, and automated testing. • Ensure data governance, privacy, and compliance with healthcare regulations (e.g., HIPAA). • Mentor junior developers and foster a culture of technical excellence and continuous improvement. • Partner with public health officials and behavioral health experts to translate business needs into technical solutions. Requirements: Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field. • 7+ years of experience in data engineering with at least 2 years in a lead role. • Strong proficiency in SQL Server (T-SQL, SSIS, SSRS) and Python (Pandas, NumPy, etc.). • Proven experience in Data Warehouse design, development, and optimization. • Experience with Data Lake architecture (e.g., Azure Data Lake, AWS Lake Formation). • Familiarity with DevOps tools and practices (e.g., Azure DevOps, GitHub Actions, Terraform, Docker). • Exposure to AI/ML concepts and integration of models into production environments. • Knowledge of healthcare data standards (e.g., HL7, FHIR) and behavioral health datasets. • Excellent communication and leadership skills. Preferred Qualifications • Experience with Azure Synapse, Databricks, or other cloud-based analytics platforms. • Exposure to Natural Language Processing (NLP) and predictive analytics in healthcare. • Understanding of public health reporting requirements and behavioral health metrics. • Certifications in Azure, AWS, DevOps, or data engineering.

Requirements