Remote Senior Data Engineer: Scalable Pipelines

Humana Inc; Bismarck (ND); Remote; USD 118,000 - 162,000; Full time

Benefits offered by this job

Bonus incentive plan

Job summary

Humana Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes enabling enterprise analytics. The role partners with stakeholders to translate requirements into robust data solutions, ensuring data quality and governance across platforms.

Required 5+ years in data engineering, strong SQL and Python, and experience with cloud platforms. Remote with potential travel; 40 hours weekly and a compensation range reflecting market norms.

Qualifications

• Bachelor's degree in a technical field.
• 5+ years of progressive data engineering experience.
• Advanced SQL skills for data modeling and large-scale processing.
• Strong Python skills for automation and pipelines.
• Experience with ETL/ELT design and data governance.
• Experience with cloud data platforms and architectures.
• Understanding of relational and dimensional data modeling.
• Experience with CI/CD, version control, automated testing, and best practices.
• Excellent communication with technical and business stakeholders.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting enterprise data and analytics needs.
• Build and optimize data models, curated datasets, and data products for reporting, operational analytics, and advanced analytical use cases.
• Partner with business stakeholders, analysts, architects, and engineering teams to translate requirements into technical solutions.
• Establish and promote best practices for data quality, testing, monitoring, documentation, lineage, and governance.
• Troubleshoot and resolve production data issues while ensuring reliability, performance, and scalability of data platforms.
• Contribute to data platform modernization initiatives, including cloud-based architectures and engineering automation.
• Participate in code reviews, technical design discussions, and architecture planning.
• Mentor and support other engineers while helping drive engineering excellence and continuous improvement initiatives

Skills

SQL for data modeling

Python for data engineering

Data pipeline design

Data modeling concepts

Cloud data platforms

CI/CD and testing practices

Communication with stakeholders

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field

Tools

Databricks

Snowflake

dbt

Job description

Humana Inc. is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT processes enabling enterprise analytics. The role partners with stakeholders to translate requirements into robust data solutions, ensuring data quality and governance across platforms.

Required 5+ years in data engineering, strong SQL and Python, and experience with cloud platforms. Remote with potential travel; 40 hours weekly and a compensation range reflecting market norms.