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.

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.

• 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: