[Hiring] Senior Data Engineer @Stellus Rx

Role Description

We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Join our group of talented, committed team members - pharmacists, pharmacy care coordinators, technologists, product strategists and more - to create and expand the delivery of personalized health support that people didn't even know could be possible.

The Senior Data Engineer for Stellus Rx will be a key member of our Technology Team, working closely with Stellus Rx leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate.

This role is built for a data engineer who uses AI as an active part of their workflow — accelerating pipeline development, automating data quality processes, and enabling richer, faster insights across our Cloud Analytics Data Platform rather than relying on manual, repetitive engineering approaches.

Qualifications

• 4+ years of experience in a Data Engineer role.
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• Advanced SQL knowledge and experience with relational databases and query authoring.
• Required: Demonstrated, hands-on experience using AI tools to accelerate data engineering tasks — pipeline development, data quality automation, code generation, or root cause analysis — with specific examples you can speak to.
• Experience building and optimizing data pipelines, architectures, and datasets.
• Strong analytic skills working with unstructured and disconnected datasets.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational and NoSQL databases including Postgres and Cassandra.
• Experience with pipeline and workflow management tools: Airflow, Luigi, Azkaban, or similar.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark Streaming, or similar.
• Working knowledge of message queuing, stream processing, and highly scalable data stores.
• Proficiency in object-oriented/scripting languages: Python, Java, Scala, C++, or similar.
• Experience supporting cross-functional teams in dynamic, agile environments.

Requirements

• Experience designing or supporting data infrastructure for AI/ML model training, including annotated datasets and feature stores.
• Familiarity with AI-assisted data quality or observability platforms (e.g., Monte Carlo, Soda, or similar).
• Experience with LLM-based data processing pipelines or retrieval-augmented generation (RAG) architectures.
• Healthcare data experience; familiarity with FHIR/HL7 standards a plus.
• High English proficiency.

Benefits

• Full Time Employment.
• Remote work opportunity.

Company Description

We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate.