Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.

• Construct and enhance data models, curated datasets, and data products for reporting, operational analytics, and advanced analytical applications.

• Collaborate with business stakeholders, analysts, architects, and engineering teams to transform requirements into technical solutions.

• Establish and advocate for best practices concerning data quality, testing, monitoring, documentation, lineage, and governance.

• Diagnose and resolve production data issues.

• Guarantee reliability, performance, and scalability of data platforms.

• Contribute to initiatives aimed at modernizing data platforms, including cloud-based architectures and engineering automation.

• Engage in code reviews, technical design discussions, and architecture planning.

• Mentor and provide support to fellow engineers.

• Foster engineering excellence and lead continuous improvement efforts.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a closely related technical discipline.

• Over 5 years of progressive experience in Data Engineering.

• Advanced expertise in SQL for data modeling, query optimization, and large-scale data processing.

• Proficient in Python for data engineering, automation, and pipeline development.

• Experience in designing and maintaining enterprise-scale ETL/ELT solutions.

• Strong grasp of relational and dimensional data modeling principles.

• Familiarity with cloud-based data platforms and contemporary data architectures.

• Experience with CI/CD, source control, automated testing, and engineering best practices.

• Excellent communication and collaboration skills with both technical and business stakeholders.

• Minimum home internet speed of 25 Mbps download and 10 Mbps upload.

• A dedicated workspace free from interruptions to safeguard member PHI/HIPAA information.

• Preferred: Experience with Databricks.

• Preferred: Knowledge of Snowflake.

• Preferred: Familiarity with dbt (Data Build Tool).

• Preferred: Background in healthcare, payer, claims, membership, or population health data.

• Preferred: Experience in implementing data governance and data quality frameworks.

• Preferred: History of mentoring engineers or leading technical initiatives.

🏝️ Benefits

• Bonus incentive program based on company and/or individual performance.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• 401(k) retirement savings plan.

• Paid time off.

• Company holidays.

• Personal holidays.

• Paid parental leave.

• Paid caregiver leave.

• Short-term disability.

• Long-term disability.

• Life insurance.

• Support for personal wellness.

• Assistance with smart healthcare decisions.

• Occasional travel to Humana offices for training or meetings.