Senior Data Engineer

About Datavant

Datavant is a trusted data collaboration platform serving the healthcare industry. Our mission is to make health data secure, accessible, and actionable for a broad range of organizations including providers, health plans, researchers, and life sciences companies. Our work powers vital health data requests and supports the AI revolution in healthcare.

Joining Datavant means becoming part of a motivated, collaborative team dedicated to transforming healthcare through innovative data solutions.

Role Overview

The Business Intelligence & Analytics team in Datavant's product division seeks a Senior Data Engineer to develop and expand our reporting, analytics, and data platform capabilities. You will focus on building a robust and scalable analytics platform that delivers clear and actionable insights to improve decision-making through dependable, high-quality data.

Key Responsibilities

• Design and enhance scalable data platform infrastructure, orchestration frameworks, and data models supporting reporting and operational systems.
• Collaborate with Product, Engineering, Analytics, and Operations teams to interpret business needs into scalable data solutions and platform features.
• Create and maintain reliable, observable, reusable data workflows using Python, SQL, dbt, Airflow, Terraform, and native cloud tools.
• Lead technical discussions and architectural choices balancing scalability, reliability, maintainability, cost-efficiency, and delivery speed.
• Mentor engineering team members, establishing best practices in data engineering, observability, Infrastructure-as-Code, and operational excellence.
• Drive enhancements in testing, monitoring, reliability, security, and cost optimization for the data platform.
• Conduct reviews of code, infrastructure, and architecture to uphold high standards for quality, maintainability, and performance.

Candidate Profile

• Minimum 7 years experience in software development or data engineering, with proven participation in complex projects and cross-team collaboration.
• Proficient in using AI-assisted engineering tools to enhance development processes, code quality, operational workflows, and scalability.
• Strong expertise in modern data modeling, transformation techniques, and scalable architectures within both analytic and operational contexts.
• Experience designing and managing data pipelines and orchestration frameworks using dbt, Apache Airflow, Python, and cloud-native platforms.
• Hands-on experience building and managing cloud-based data platforms in AWS, Azure, or GCP, employing Infrastructure-as-Code tools like Terraform.
• Ability to maintain platform reliability through observability, monitoring, operational practices, performance tuning, and cost control.
• Familiarity with CI/CD pipelines, automated testing, and contemporary software engineering methods for high-quality data platform development.
• Excellent communication and teamwork skills, capable of partnering effectively across engineering, product, analytics, and operations teams.
• Competence in prioritizing tasks, handling ambiguity, and delivering impactful solutions.

Additional Advantageous Skills

• Prior work experience in healthcare or similarly regulated sectors such as finance, insurance, or life sciences.
• Knowledge and experience administering Snowflake or comparable cloud data warehouses including security, tuning, workload management, governance, and cost control.
• Practical familiarity with modern data stack technologies like Fivetran, Kafka, Spark, Databricks, and streaming/event-driven architectures.
• Understanding of data governance, privacy, lineage, and compliance frameworks such as HIPAA, HITRUST, SOC2, or GDPR.
• Background in roles such as Database Administrator, Data Analyst, or Analytics Engineer.
• Experience in developing self-service data platforms, reusable developer tools, or internal platforms to enhance engineering efficiency.
• Skills in supporting multi-cloud or hybrid-cloud infrastructure and networking patterns across AWS and Azure.

About Datavant Ireland

Based in Galway, our R&D technology center focuses on solving complex technological issues with a meaningful purpose. We welcome technically-minded individuals eager to contribute to cutting-edge solutions and advancing healthcare through data.

Compensation & Culture

• Competitive and equitable salary package.
• Comprehensive benefits plan.
• Pension contribution.
• Flexible, hybrid working environment.

Diversity and Inclusion

Datavant values building a diverse workforce and fostering a high-performance culture where everyone thrives. We are an Equal Employment Opportunity employer committed to providing reasonable accommodations for physical and mental disabilities during the hiring process upon request.