Job Summary:

We are seeking an experienced and motivated Senior Data Engineer to join our dynamic team. In this role, you will have the unique opportunity to work at the intersection of Data Engineering and DevOps, playing a vital role in developing and maintaining our data infrastructure while ensuring the efficient and reliable delivery of our data analytics products. As a Data Engineer, you will work closely with cross-functional teams, including data scientists, software developers, and product teams, to enable the seamless integration of data-driven solutions with our software products. 

As Data Engineer, you will: 

• Design, develop, and maintain the data infrastructure and systems to support Ambit products, solutions, and projects.
• Build and optimize data pipelines for extracting, transforming, and loading (ETL) large volumes of data from various sources into our data environment in a structured format suitable for analysis. 
• Collaborate with data scientists and analysts to understand data requirements and design efficient and scalable data processing workflows.
• Develop algorithms and workflows to clean, transform, and integrate data from multiple sources, ensuring its quality and consistency.
• Implement data governance policies, access controls, and security measures to protect sensitive data and ensure compliance with relevant regulations.
• Optimize data processing and retrieval performance to ensure efficient and timely access to data.
• Work closely with product teams, especially developers, to integrate data-driven solutions with our software products, ensuring seamless functionality and performance.
• Design, build, and manage CI/CD pipelines for software build, testing, and deployment, ensuring efficient and reliable software delivery.
• Implement infrastructure-as-code principles to automate the provisioning and management of infrastructure resources.
• Set up monitoring and logging systems to ensure the availability, performance, and security of our software systems.
• Manage system configurations, ensuring consistency across different environments, and employ orchestration tools to automate deployment and scaling.
• Collaborate with cross-functional teams to identify areas for process improvement and implement DevOps best practices.
• Stay updated with emerging technologies, industry trends, and best practices in Data Engineering and DevOps to drive innovation within the organization. 

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
• Minimum of 5 years of professional experience in a Data Engineering role.
• Minimum of 3 years of experience in a biopharmaceutical or life sciences company, having knowledge in industry processes, commonly available/used data sources as well as data management, and regulatory compliance requirements.
• Strong experience in data engineering, including data pipeline development, data integration, and data management.
• Experience and proficiency in handling secondary data sources such as claims data (835/837), EMR/EHR, EDI 852/867, sell-in data, Rx dispense, formulary data, as well as digital and sales force execution data.
• Life sciences-specific knowledge in master data management for entities such as patient, HCP, HCO, and MCO; as well as reference data management including medical codes such as ICD, CPT, HCPCS, NDC, etc. and clinical/medical taxonomies such as HPO and SNOMED CT.
• Proficiency in programming languages such as Python, Java, or Scala, with experience in SQL and database technologies.
• Demonstrated expertise and experience in working with Microsoft Azure cloud platform, including knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Storage, Azure SQL Database, and Azure Kubernetes Service (AKS).
• Hands-on experience in deploying and managing data and application workloads on Azure, leveraging Azure services for data engineering and DevOps tasks.
• Solid understanding of DevOps principles, CI/CD practices, and experience with tools like Jenkins, Git, and configuration management systems.
• Experience in defining and deploying infrastructure resources programmatically using infrastructure-as-code tools and techniques in Azure environments, including resource grouping, tagging, and parameterization for scalable and reusable deployments.
• Understanding of Azure security and compliance practices, including experience implementing data governance, access controls, and security measures in Azure environments.
• Strong problem-solving skills and the ability to work in a fast-paced, high-growth environment with tight deadlines. 

Base Salary Range: $126,000 – $170,000