Alto Pharmacy is hiring a
Senior Data Engineer

Summary

Join Alto Pharmacy as a Senior Data Engineer to drive the company's mission to transform the pharmacy industry by designing and building scalable data pipelines, managing ETL processes, data visualization, and metadata platforms. Your expertise will empower us to make data-driven decisions that enhance patient care and drive innovation in the pharmacy space.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field
• 7+ years of production data engineering experience
• Strong technical skills in python, SQL, and data modeling
• Experience using and tuning data processing frameworks such as Apache Spark, Hadoop, or similar
• Experience with data warehouses, E(LT/TL) tools, and cloud services
• Experience with cloud platforms such as AWS, GCP, or Azure
• Strong problem-solving skills and attention to detail
• Strong sense of ownership over your work
• Comfortable working at startup pace and focus

Responsibilities

• Design, develop, and maintain robust data pipelines to collect, process, and store large volumes of data
• Ensure data quality, integrity, and security across all stages of the data lifecycle
• Implement data ingestion, transformation, and loading (ETL/ELT) processes with Apache Spark and DBT
• Manage and optimize data storage solutions, including data warehouses and databases
• Implement and maintain data governance practices and policies
• Support and enhance existing data processing platforms deployed in AWS EKS
• Ensure compliance with data privacy regulations (e.g., HIPAA)
• Work closely with software engineers, product managers, and business analysts to understand data requirements and deliver solutions
• Provide technical guidance and mentorship to junior engineers and data scientists
• Communicate complex technical concepts and results to non-technical stakeholders
• Stay up-to-date with the latest advancements in data engineering and machine learning
• Experiment with new tools and technologies to enhance our data infrastructure and ML capabilities
• Contribute to the development of best practices and standards for data engineering and machine learning

Benefits

Full-time: Medical, Dental, Vision, 401(k), Group Life, AD&D, Employer paid STD/LTD, generous PTO and parental leave