Senior Data Engineer

Role Overview: We are seeking a talented Senior Data Engineer with expertise in designing, building, and maintaining data architecture for healthcare analytics. The ideal candidate will have a strong background in setting up processes, defining data models, and implementing data governance frameworks. Experience with medical insurance data, including Medicare, Medicaid, and state healthcare programs, is highly preferable. 

Responsibilities: 

• Collaborate with stakeholders to understand business requirements and translate them into scalable data architecture solutions. 
• Design and develop data models, data warehouses, and data lakes to support the storage, integration, and analysis of large volumes of healthcare data. 
• Define data standards, policies, and procedures to ensure data quality, integrity, and security across the organization. 
• Implement data governance processes to manage metadata, data lineage, and data access controls. 
• Evaluate and select appropriate technologies and tools to support data architecture and analytics requirements. 
• Lead the implementation of data migration, transformation, and ETL processes to enable seamless data integration and interoperability. 
• Work closely with data engineers, data scientists, and other stakeholders to ensure alignment with business objectives and technical requirements. 
• Stay current with emerging trends and best practices in data architecture, healthcare analytics, and regulatory requirements in the medical insurance industry. 
• Provide technical leadership, guidance, and mentorship to junior team members.

Responsibilities: 

List of Key Responsibilities for the Position: 

• Collaborate with stakeholders to understand business requirements and translate them into scalable data architecture solutions. 
• Design and develop data models, data warehouses, and data lakes to support the storage, integration, and analysis of large volumes of healthcare data. 
• Define data standards, policies, and procedures to ensure data quality, integrity, and security across the organization. 
• Implement data governance processes to manage metadata, data lineage, and data access controls. 
• Evaluate and select appropriate technologies and tools to support data architecture and analytics requirements. 
• Lead the implementation of data migration, transformation, and ETL processes to enable seamless data integration and interoperability. 
• Work closely with data engineers, data scientists, and other stakeholders to ensure alignment with business objectives and technical requirements. 
• Stay current with emerging trends and best practices in data architecture, healthcare analytics, and regulatory requirements in the medical insurance industry. 
• Provide technical leadership, guidance, and mentorship to junior team members. 

Required Qualifications: 

Education: 

• Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 
• A master’s degree or higher in Data Architecture, Data Science, Healthcare Informatics, or a related field is preferred. 

Professional Experience: 

• 10-15 years of experience in data architecture, data modeling, and database design, including experience with large-scale systems in the healthcare domain. 
• 5+ years of experience working with healthcare data, specifically Medicare, Medicaid, or state healthcare programs. 
• Strong experience with data governance frameworks and healthcare regulatory standards, including HIPAA compliance. 

Certifications (Preferred but not mandatory): 

• Certified Data Management Professional (CDMP). 
• AWS Certified Solutions Architect, Azure Data Engineer Associate, or similar cloud certifications. 
• Certified Information Systems Security Professional (CISSP) or other relevant security certifications. 
• Healthcare-related certifications (e.g., Certified Healthcare Data Analyst (CHDA)) are a plus. 

Technical Skills: 

• Proficiency with data modeling tools (e.g., Erwin, PowerDesigner). 
• Strong programming skills in SQL, Python, or other relevant languages. 
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, Google BigQuery), ETL tools (e.g., Informatica, Talend), and cloud platforms (AWS, Azure, Google Cloud). 
• Deep knowledge of relational and NoSQL databases (e.g., MySQL, SQL Server, MongoDB). 

Healthcare Expertise: 

• Solid understanding of healthcare data structures, medical insurance systems, and regulatory compliance, including experience with claims data and clinical data sets. 
• Experience with healthcare analytics and data integration between different systems and providers. 

Leadership & Communication: 

• Proven ability to lead teams, provide technical guidance, and mentor junior staff. 
• Strong collaboration skills with cross-functional teams, including data engineers, scientists, and business stakeholders. 
• Excellent verbal and written communication skills to explain complex technical concepts to non-technical stakeholders. 

Project Management Skills: 

• Experience leading data migration, transformation, and integration projects in a healthcare setting. 
• Familiarity with Agile or other project management methodologies is a plus. 

Regulatory Knowledge: 

• In-depth understanding of healthcare regulations such as HIPAA, and familiarity with ensuring data privacy and security in compliance with industry standards.