Data Engineer/Architect

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🔥 0 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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ICON plc

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1990

💊 Pharmaceuticals

🧬 Biotechnology

⚕️ Healthcare Insurance

Pharmaceuticals • Biotechnology • Healthcare Insurance

ICON plc is a global provider of clinical, consulting, and commercial services across various sectors in the healthcare and pharmaceutical industries. They offer a wide range of clinical solutions, including decentralised clinical trials, cardiac safety solutions, early clinical laboratories, and medical imaging. ICON also provides technology solutions that support drug development from early phases to post-marketing. Their therapeutic expertise spans cardiovascular, oncology, internal medicine, and more, with a strong focus on transformative therapies like cell and gene therapies and biosimilars. ICON is recognized as a leading Contract Research Organisation (CRO), regularly providing thought leadership and contributing to industry publications and events. Their services are tailored to optimize clinical trials, offer regulatory intelligence, and deliver real-world evidence through robust data analysis and patient-centric solutions.

📋 Description

• Design and implement enterprise‑grade data architectures, including data lakes, warehouses, and integration layers. • Build and maintain automated data pipelines for ingesting, validating, transforming, and storing data from multiple sources. • Develop scalable data models and schemas to support consistent metrics, reporting, and analytics. • Establish and apply data standards and quality controls to ensure accuracy, reliability, and repeatability. • Collaborate with stakeholders to understand data and reporting requirements and translate them into technical solutions. • Partner with analytics and visualization teams to ensure data is well‑structured and optimized for downstream use.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline. • 5+ years of experience in data engineering and/or data architecture within complex environments. • Strong experience with SQL, data modeling, and ETL/ELT processes. • Hands‑on experience with cloud‑based data platforms (AWS, Azure, or GCP). • Proven ability to integrate and harmonize multiple, fragmented data sources. • Working knowledge of data governance, data quality, and security best practices. • Strong communication and collaboration skills, with the ability to work effectively across teams.

🏖️ Benefits

• Competitive base salary and performance related incentives • Health and wellbeing programmes including medical, dental, and vision coverage where applicable • Retirement and pension plans • Life assurance and disability coverage • Employee assistance programmes and wellbeing resources • Learning and development opportunities through structured training and career pathways