Senior Data Engineer

At Alto Pharmacy, the Data Engineering team plays a crucial role in driving the company’s mission to transform the pharmacy industry. This team is responsible for designing and building scalable data pipelines, as well as managing ETL processes, data visualization, and metadata platforms such as Fivetran, Snowflake, dbt, Looker, and DataHub, all of which power business analytics and decision-making. In addition, the team handles data transformations using Apache Spark and manages the machine learning platform (Kubeflow) that automates and optimizes pharmacy operations.

Alto's Data Engineers also manage AWS components to support data platforms running in AWS EKS clusters, with Terraform handling IAM, S3, SNS, SQS, and other essential services. Furthermore, they are tasked with data integrations across healthcare networks, drug manufacturers, and various partnerships.

Our goal is to make high-quality data accessible to everyone at Alto to accelerate decision-making and improve our products. We are seeking a Senior Data Engineer with extensive experience, a customer-centric mindset, and a strong sense of ownership to join our team. Your expertise will empower us to make data-driven decisions that enhance patient care and drive innovation in the pharmacy space.

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

• Reading English, comprehending, and following 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.
• 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 or phone that may include the wrists, hands and/or fingers.
• Environmental Conditions: occasional exposure to low temperatures or high temperatures, outdoor elements such as precipitation and wind, and noisy environments.
• Physical Activities: 
• Occasionally ascending or descending stairs, ramps and the like.
• Moving about to accomplish tasks and/or moving from one worksite to another. 
• Adjusting or moving objects up to 20 pounds in all directions. 
• Operating motor vehicles.
• Occasional sedentary work that primarily involves sitting/standing/driving/flying

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Salary and Benefits

Salary Range: $146,000 - $183,000

Commission Eligible: No

Equity Eligible: Yes

Travel: Yes - Required up to 15% of the time  for Engineering on/off sites.

Location Requirement: Employment at Alto is limited to individuals residing in the following states: California, Connecticut, Colorado, Florida, Nevada, Illinois, New York, Kansas, Texas, Maryland, Washington (WA), Missouri, New Jersey, North Carolina, Oregon, Pennsylvania, South Carolina, Tennessee, Wisconsin.

Employment Requirement: Applicants must be authorized to work for any employer in the U.S.  At this time, Alto is unable to sponsor or take over sponsorship of an employment Visa.

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

Application deadline: September 30, 2024

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Last updated on Aug 22, 2024