Senior Data Engineer

Job Summary

GeniusRx is looking for an experienced Data Engineer to help bring the next evolution of pharmacy to life. As part of the data science team under product and technology, you will be working together with the data science, engineering, and product teams to ensure the right data gets to the right people. We are building a data platform that will allow us to bring a new level of intelligence to the pharmacy experience.

Our analytics stack comprises of:

• Python, Spark, and Singer for ETL pipelines.
• Snowflake, Azure Blob Storage, and PostgreSQL for data storage.
• Databricks for additional transformations and machine learning.
• Looker for BI and reporting.

You will design and implement data pipelines while factoring for scalability, availability, and quality and be instrumental in setting standards and best practices for the rest of the data science team.

Roles & Responsibilities

• Work within the existing data ecosystem to move and integrate data pipelines across warehouses, legacy platforms, and external partners.
• Create actionable reports and dashboards that allow business stakeholders to self-service data requests while encouraging a culture of data discovery.
• Work together with stakeholders from marketing, pharmacy ops, engineering, and product to understand how the data works, where it comes from, and where it needs to go.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Azure big data technologies.
• Transform raw data into actionable data layers for use across the organization powering not only our business intelligence capabilities but also helping to establish a base for machine learning applications.
• Establish a data platform that can be used as a sole source of truth across the organization.
• Develop metrics and leading indicators that not only give answers to data questions but also provide context and understanding of trends.
• Monitor and review our drug pricing and give recommendations on ways to get customers the best possible price for their medications while achieving margin targets for the company.
• Work in a supportive, passionate team as we drive to bring a new level of medication savings and insight to our customers.

Skills and Attributes for Success

• Bachelor’s degree in computer science, engineering, mathematics, economics, or related discipline.
• 3+ years of experience in Data Engineering or business intelligence with a track record of manipulating, processing, and extracting valuable information from large datasets.
• Strong SQL skills.
• Experience working with business intelligence tools such as Looker, and Tableau.
• Experience working with executive stakeholders to not only develop reporting that meets their needs but be able to explain the importance/impact of our measures.
• Experience using Python, or other language equivalents, and its related data packages (Pandas, Numpy, SQLalchemy), and experience using Spark-based platforms like Databricks is a plus.
• Knowledge of best practices related to data transformations and reporting – healthcare experience is a plus.
• Knowledge of software engineering best practices including git, agile methods, coding standards and reviews, testing, and operations.
• Experience working in the Azure ecosystem is a plus.

Preferred

• Experience with healthcare and pharmacy (preferred)

Working at GeniusRx (Headquarters in Boca Raton, FL) means you are working with a diverse, passionate, collaborative team who are dedicated to making pharmacy personal again and are on a mission to disrupt the virtual pharmacy industry. We believe in cultivating a culture of bravery, kindness, and honesty.

We encourage a healthy work-life balance and encourage our employees to take care of themselves by utilizing our comprehensive medical benefits, generous paid time off benefits, wellness programs, social events, and much more!

GeniusRx provides equal opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristics protected by federal, state, or local laws.