Data Engineer Jobs

About The Position

Requirements

• 10+ years of IT experience in software engineering, data engineering, or technology operations environments.
• 5+ years of experience in data load monitoring, operational data support, or production pipeline incident resolution.
• 5+ years of experience designing and implementing automated data quality checks, data validation frameworks, and pipeline automation using Scala or PySpark and SQL.
• 5+ years of experience working with enterprise cloud data platforms, including Azure, and relational or distributed databases.
• 5+ years of experience using data orchestration, scheduling, and monitoring platforms such as Airflow, ADF, and Databricks.

Nice To Haves

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent practical experience.
• Experience in the pharmacy benefits management (PBM), healthcare, or life sciences industry working with healthcare data domain models.
• Industry technical certifications in cloud platforms or data engineering, such as AWS Certified Data Engineer, Snowflake Certified, or Databricks Certified.
• Demonstrated experience using enterprise-approved AI or automation tools to streamline technical workflows and daily operational tasks.
• Fair understanding of Snowflake.

Responsibilities

• Monitor complex enterprise data loads and automated data pipelines to ensure high availability, system stability, and timely SLA execution.
• Lead proactive incident triage, troubleshooting, root-cause analysis, and resolution for production data pipeline failures and operational issues.
• Implement, automate, and refine data quality checks, validation rules, and monitoring frameworks across pharmacy data environments.
• Drive process automation to optimize operational workflows, reduce manual overhead, and accelerate incident recovery.
• Use enterprise-approved AI tools to streamline operational workflows, automate tasks, and drive continuous improvement across data engineering operations.
• Evaluate emerging trends and operational technologies to inform solution design, system optimization, and strategic innovation.
• Establish operational best practices, documentation, and data governance standards to ensure secure and reliable data delivery.

Benefits

• Comprehensive benefits package, subject to eligibility requirements.
• Incentive and recognition programs.
• Equity stock purchase.
• 401(k) contribution, subject to eligibility requirements.