Data Engineer

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:

• 9 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.