Bull City Talent Group
Boston area only - please do not apply if outside of Boston area - hybrid role in office 3 days/week
Overview As a Data Engineer, reporting to the Associate Director of Data and Analytics, you will be part of a team responsible for the design, development, and optimization of Madrigal's silver and gold data layers, transforming raw and curated datasets into enriched, business-ready data products. This role is critical to enabling high-performance analytics and self-service reporting across the enterprise. You will ensure datasets are modeled and tuned for optimal querying in Power BI, driving speed, accuracy, and consistency in decision-making. In addition to hands-on development, you will contribute to architectural discussions, collaborate with team members, and champion data engineering best practices.
Responsibilities
Data Layer Development:
Design and build silver and gold data layers, applying advanced transformation and enrichment techniques to create analytics-ready datasets.
Enterprise Data Products:
Develop and maintain reusable, high-quality data products that serve cross-functional teams, including Medical Affairs, Corporate Functions, IT, and more.
Performance Optimization:
Design, model, and tune datasets for optimal performance in Power BI, ensuring scalable, reliable, and responsive analytics.
Data Governance & Compliance:
Implement processes to ensure data accuracy, consistency, and compliance with security and regulatory requirements (e.g., GDPR, GxP).
Metadata Management:
Manage metadata associated with our data policy management and masking tool, Immuta, ensuring alignment with governance, access control, and compliance requirements.
Cross-Functional Collaboration:
Work closely with stakeholders, business analysts, and our data platform team in an Agile environment to translate requirements into technical solutions.
Continuous Improvement & Innovation:
Stay current with emerging technologies and trends in data engineering, BI, and analytics, and proactively introduce innovations that improve performance, scalability, and maintainability.
Engagement details
Seniority level:
Mid-Senior level
Employment type:
Contract
Job function:
Consulting and Analyst
Industries:
IT Services and IT Consulting and Pharmaceutical Manufacturing
#J-18808-Ljbffr
Overview As a Data Engineer, reporting to the Associate Director of Data and Analytics, you will be part of a team responsible for the design, development, and optimization of Madrigal's silver and gold data layers, transforming raw and curated datasets into enriched, business-ready data products. This role is critical to enabling high-performance analytics and self-service reporting across the enterprise. You will ensure datasets are modeled and tuned for optimal querying in Power BI, driving speed, accuracy, and consistency in decision-making. In addition to hands-on development, you will contribute to architectural discussions, collaborate with team members, and champion data engineering best practices.
Responsibilities
Data Layer Development:
Design and build silver and gold data layers, applying advanced transformation and enrichment techniques to create analytics-ready datasets.
Enterprise Data Products:
Develop and maintain reusable, high-quality data products that serve cross-functional teams, including Medical Affairs, Corporate Functions, IT, and more.
Performance Optimization:
Design, model, and tune datasets for optimal performance in Power BI, ensuring scalable, reliable, and responsive analytics.
Data Governance & Compliance:
Implement processes to ensure data accuracy, consistency, and compliance with security and regulatory requirements (e.g., GDPR, GxP).
Metadata Management:
Manage metadata associated with our data policy management and masking tool, Immuta, ensuring alignment with governance, access control, and compliance requirements.
Cross-Functional Collaboration:
Work closely with stakeholders, business analysts, and our data platform team in an Agile environment to translate requirements into technical solutions.
Continuous Improvement & Innovation:
Stay current with emerging technologies and trends in data engineering, BI, and analytics, and proactively introduce innovations that improve performance, scalability, and maintainability.
Engagement details
Seniority level:
Mid-Senior level
Employment type:
Contract
Job function:
Consulting and Analyst
Industries:
IT Services and IT Consulting and Pharmaceutical Manufacturing
#J-18808-Ljbffr