Job Description

The Alto Data Engineering team is responsible for several key business areas:

• Designing and building scalable data pipelines

• ETL, data visualization, and metadata platforms (fivetran, snowflake, dbt, looker, datahub) that power business analytics and decision making

• Data transforms with Apache Spark.

• ML platform (kubeflow) powering the models that automate and optimize pharmacy operations

• AWS components to support data platforms running in AWS EKS cluster. Terraform managed IAM, S3, SNS, SQS, etc.

• Data integrations with healthcare networks, drug manufacturers, and other partnerships

Our goal is to make high quality data accessible to everyone at Alto to accelerate decision making and improve our products. We’re looking for an experienced, customer minded engineer with a strong sense of ownership to join our team. Your expertise will enable us to make data-driven decisions and enhance patient care.

Accelerate Your Career as You

Data Pipeline Development:

• 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.

Data Infrastructure and Management:

• 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).

Cross-Functional Collaboration:

• 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.

Continuous Improvement:

• 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.

A Bit About You

Minimum Qualifications:

• 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

Preferred Qualifications:

• 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

Additional Physical Job Requirements

• Read English, comprehend, and follow simple oral and written instructions. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. Assessing the accuracy, neatness and thoroughness of the work assigned.

• Communicating with others to exchange information. Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly.

• Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound.

• Frequent repeating motions required to operate a computer that may include the wrists, hands and/or fingers.

• Sedentary work: Sitting most of the time, exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Walking & standing are required occasionally.

Additional Information

Alto Pharmacy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other legally protected basis. If you have a disability and require reasonable accommodation during any portion of the application or hiring process, please contact us at CandidateHelp@alto.com.

Alto Pharmacy considers qualified applicants with arrest or conviction records for employment and conducts background checks consistent with applicable law, including the California, Los Angeles County, San Francisco, and New York City Fair Chance laws. We are an E-Verify participating company.

To learn about Alto's privacy practices including compliance with applicable privacy laws, please click here.