Senior Data Engineer

$146,000 - $183,000/Yr

Alto Pharmacy - Dallas, TX

Full-time - Senior

Dallas, TX

Health and Personal Care Retailers

About the position

The Senior Data Engineer at Alto Pharmacy plays a vital role in transforming the pharmacy industry by designing and building scalable data pipelines, managing ETL processes, and ensuring data quality and security. This position involves collaboration with cross-functional teams to deliver data-driven solutions that enhance patient care and drive innovation. The ideal candidate will have extensive experience in data engineering, a customer-centric mindset, and a strong sense of ownership.

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.

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.

Nice-to-haves

• Experience in the healthcare or pharmaceutical industry.
• Knowledge of healthcare data standards and privacy regulations (e.g., HIPAA).
• Familiarity defining and implementing security and data access policies.
• Experience with big data technologies and distributed computing.
• Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes).
• Experience with AWS, GCP, Azure cloud development and deployment.
• Demonstrated experience improving data governance, accuracy, and latency.

Benefits

• Medical
• Dental
• Vision
• 401(k)
• Group Life
• AD&D
• Employer paid STD/LTD
• Generous PTO
• Parental leave