Job Description

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.

Job Type: Full-time

Pay: $97,818.11 - $117,802.45 per year

Schedule: