Senior Data Engineer: Cloud Data Pipelines & Analytics

Humana Inc; City of Albany (NY); Remote; USD 118,000 - 162,000; Full time

Job summary

Humana Inc seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and data products that transform structured and unstructured data into enterprise insights. The role involves collaborating across teams to translate requirements into robust solutions and driving data quality, governance, and modernization efforts.

You will work with cloud-based architectures, CI/CD practices, and mentoring peers to elevate engineering standards.

Qualifications

• Bachelor's degree or higher in a technical field.
• 5+ years of progressive data engineering experience.
• Proficiency in SQL for data modeling and large-scale processing.
• Strong Python skills for automation and pipeline development.
• Experience with enterprise ETL/ELT solutions and cloud data platforms.
• Knowledge of relational and dimensional data modeling concepts.
• Familiarity with CI/CD, source control, and testing best practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes for analytics needs.
• Build and optimize data models, datasets, and data products for reporting and advanced analytics.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Promote data quality, testing, documentation, lineage, and governance practices.
• Troubleshoot production data issues ensuring reliability and performance.
• Contribute to cloud-based data platform modernization efforts.
• Participate in design reviews and architecture planning.
• Mentor engineers and drive continuous improvement.

Skills

SQL

Python

ETL/ELT design

Data modeling

Cloud data platforms

CI/CD

Communication

Education

Bachelor's degree in Computer Science / Information Systems / Engineering / Mathematics

Tools

Databricks

Snowflake

dbt

Job description

Humana Inc seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and data products that transform structured and unstructured data into enterprise insights. The role involves collaborating across teams to translate requirements into robust solutions and driving data quality, governance, and modernization efforts.

You will work with cloud-based architectures, CI/CD practices, and mentoring peers to elevate engineering standards.