Software Engineer – II

🔥 48 minutes ago

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H1

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

H1 is a global healthcare intelligence company that connects life sciences, payors, providers, and patients to AI-enabled data analytics and groundbreaking research to advance medicine. It provides enterprise solutions like HCP Universe, Trial Landscape, and Precise, helping healthcare professionals to access accurate and comprehensive data for clinical trials, scientific research, and medical affairs. H1 empowers medical missions and humanitarian work through H1 Connect and enhances diversity and inclusion in clinical trials by providing insights to improve patient diversity and site performance. The company plays a key role in enabling access to healthcare information and evidence-based medicine globally.

📋 Description

• Collaborate with a multidisciplinary team including, data engineers, product managers, and business stakeholders, to gather materials and understand user needs. • Build and maintain scalable and reliable data pipelines that support the team’s enrichment workflows. • Integrate enriched data from core platforms into broader data systems, applying necessary transformations and aligning with business requirements. • Contribute to code reviews, holding a high bar for quality and aligning with organizational engineering guidelines. • Follow development workflows, including coding, testing, deployment, and monitoring, to ensure quality and efficiency. • Work collaboratively with team members and escalate issues appropriately when challenges arise. • Contribute to the understanding and execution of tasks with a strong focus on accuracy, scalability, and performance.

🎯 Requirements

• 4- 6 years of experience in data engineering, specializing in building scalable data pipelines and enrichment processes, with a track record of working with large datasets, including ingestion, transformation, and optimization • Proficiency in Spark, Python, and SQL for building scalable data processing pipelines • Hands-on experience with Kubernetes for container orchestration and deployment • Hands-on experience with Elasticsearch • Strong background in AWS, including services such as S3, Lambda, ECS, and RDS for data infrastructure • Experience with AWS EMR and Databricks to optimize large-scale data workflows

🏖️ Benefits

• Full suite of health insurance options, in addition to generous paid time off • Pre-planned company-wide wellness holidays • Retirement options • Health & charitable donation stipends • Impactful Business Resource Groups • Flexible work hours & the opportunity to work from anywhere • The opportunity to work with leading biotech and life sciences companies in an innovative industry with a mission to improve healthcare around the globe