Senior Data Engineer

LucyRx

$125K — $150K *
US-AnywhereRemote in United States
Healthcare
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of data engineering experience
  • Proficient in SQL, Python, dimensional modeling, and data pipeline design
  • Strong knowledge of data governance and scalable system design
  • 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.

Responsibilities

  • Design and implement large-scale data architectures daily
  • Optimize data pipelines for performance and efficiency
  • Monitor data quality and integrity with regular audits
  • Mentor junior engineers during daily check-ins
  • Participate in data governance and compliance meetings

Benefits

  • Opportunity to mentor and lead a team of junior engineers
  • Engagement in innovative project designs impacting data infrastructure
  • Regular interaction with governance processes ensuring compliance
  • Potential to work on cutting-edge technology solutions
  • Supportive environment for professional growth within data engineering
Full Job 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.

Qualifications and Education Requirements
• 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

Physical Requirements

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. This is a largely sedentary role; however, some standing, walking, bending, and reaching may be required. Regularly operates in an office setting which involves utilizing a computer, mouse, keyboard, and occasionally operates other standard office equipment such as a printer, copier, and phone. Minimal travel may be required.

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