Senior Data Engineer

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Alimentiv

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

⚕️ Healthcare Insurance

🔬 Science

💊 Pharmaceuticals

Healthcare Insurance • Science • Pharmaceuticals

Alimentiv is a specialty contract research organization focused on gastrointestinal (GI) and liver diseases. With over 30 years of experience, Alimentiv offers a comprehensive range of clinical research and imaging services, including clinical trial management, site management, regulatory affairs, and precision medicine. The company is at the forefront of medical research and development, providing state-of-the-art imaging solutions and actionable biomarker insights. Alimentiv supports the development of GI compounds and is active in more than 60 countries, working with a network of medical and operational experts to accelerate clinical trials and patient recruitment.

📋 Description

• Design, build, and operationalize scalable data solutions to support enterprise analytics and AI/ML initiatives. • Architect end-to-end pipelines using industry-standard tools. • Drive automation and move solutions effectively into production. • Ensure compliance with data governance requirements (including GxP and HIPAA/GDPR). • Build reusable, integrated pipelines and analytical models that promote self-service analytics. • Provide technical leadership across the team and mentor junior engineers. • Partner with business stakeholders to align data engineering with organizational objectives.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred) • 5–8 years of experience designing and developing enterprise-scale data solutions (data warehouses, data lakes, operational databases) • Expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and Azure DevOps. • Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server. • Strong experience with Microsoft Azure data management architectures including Data Warehouse, Data Lake, and Data Catalogue, and supporting processes such as Data Integration, Governance, and Metadata Management. • Experience with Power BI required; Tableau or Looker a plus. • Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM, Bicep, or Terraform). • Experience in life sciences or healthcare industries is a strong plus. • Good understanding of GxP, GDPR/HIPAA, and applicable CFR/CTR/CTD regulations. • Demonstrated success working with both IT and business stakeholders while integrating analytics and data science output into business processes and workflows. • Must have excellent written and verbal communication skills. • Proven ability to work independently and as part of a team and meet important deadlines. • Statistical analysis skills are an asset.