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# Data Engineer

- **Company:** LucyRx Health Solutions, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Microsoft Azure, Big Data, Information Systems, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Dimensional Modeling, Python (Programming Language), Performance Tuning, Standard Sql, Azure Data Factory, Snowflake, Information Technology, Data Lineage, Apache Kafka, Data Pipelines, Databricks
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-data-engineer-lucyrx-health-solutions-inc-9639593

## About the Role

* 10+ years of data engineering experience
 * Proficient in SQL, Python, dimensional modeling, and data pipeline design.
 * Proven skills in designing scalable systems and strong knowledge of data governance.
 * Familiarity with data warehousing concepts and ETL tools.
 * Experience with Snowflake Snowpark, Azure Data Factory and Databricks
 * Experience implementing and maintaining Snowflake on Azure
 * Excellent communication and team collaboration abilities.

Preferences

 * Prior experience in PBM or healthcare industries is a plus
 * Familiarity with modern data tools (Apache Airflow, Kafka)
 * Experience performance tuning pipelines for slowly changing dimensions
 * Experience using integrated data lineage tools as part of ETL pipelines
 * Bachelor's degree in Computer Science, Information Systems, or related field

## Description

The Senior Data Engineer leads the design and optimization of complex data architectures. With advanced technical expertise, this role ensures that data is accurate, secure, and scalable while guiding the team in day-to-day integration challenges.

Role and Responsibilities

In this role, you will spend daily time designing robust data solutions, optimizing pipelines, and overseeing data quality checks. You also mentor junior engineers and participate in governance meetings to ensure compliance.

 * Design and implement large-scale data architectures and optimize data pipelines daily.
 * Monitor data quality and integrity through regular audits and validation processes.
 * Mentor junior team members in troubleshooting and best practices during daily check-ins.
 * Participate in routine data governance and compliance meetings.


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