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About the Role

The Data Engineer 2 designs, builds, and maintains data processing architectures to convert structured and unstructured data into enterprise-scale insights. This role focuses on cloud-based data solutions supporting business intelligence, analytics, and operational reporting within the Home Health Data Engineering team.

Responsibilities

• Develop and maintain data pipelines and integrations for ingestion, transformation, and delivery.
• Build and support Snowflake-based solutions, including loading, transforming, and validating data.
• Develop cloud-native data workflows using Azure services like Databricks and Storage.
• Contribute to data migration initiatives from on-premises systems to cloud platforms.
• Create and maintain ETL/ELT processes to ensure data accuracy and availability.
• Develop and support API-based integrations, including MuleSoft, for secure data exchange.
• Troubleshoot and resolve data pipeline issues in collaboration with senior engineers.
• Collaborate with business analysts and architects to deliver effective data solutions.
• Participate in code reviews and testing to ensure adherence to engineering standards.
• Support data quality, governance, and security initiatives to ensure regulatory compliance.
• Document technical solutions, processes, and operational procedures.
• Continuously learn and adopt new technologies to improve platform capabilities.

Requirements

• Hands-on experience with Snowflake or similar cloud data warehouse technologies.
• Working knowledge of Azure cloud services including Databricks, Storage Accounts, and Azure DevOps.
• Proficiency in SQL and experience with Python or another data engineering programming language.
• Understanding of ETL/ELT concepts, data integration patterns, and transformation techniques.
• Familiarity with Git-based source control, CI/CD concepts, and software development best practices.
• Basic understanding of data modeling, database design, and cloud architecture principles.
• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Strong communication skills.
• Must provide high-speed DSL or cable modem (minimum 25 Mbps download/10 Mbps upload).
• Must have a dedicated space lacking interruptions to protect PHI/HIPAA information.

Skills

• Snowflake
• Databricks
• SQL
• Python
• MuleSoft
• Git
• CI/CD tools
• Data Integration
• ETL/ELT Frameworks
• Azure Data Platform Services
• Terraforms

Location

• Remote

Work Type

• Full-time
• Remote

Experience Level

• 2–4 years of experience in Data Engineering, Data Integration, or a related technical field.

Education Level

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline (or equivalent experience).

Salary/Compensations

• $97,900 - $133,500 per year

Benefits

• Bonus incentive plan
• Medical, dental, and vision benefits
• 401(k) retirement savings plan
• Paid time off
• Company and personal holidays
• Paid parental and caregiver leave
• Short-term and long-term disability
• Life insurance

About the Company

• Humana Inc. is a leading U.S. healthcare company.
• Operates through Humana insurance services and CenterWell healthcare services.
• Serves Medicare and Medicaid beneficiaries, families, individuals, military personnel, and communities.

Equal Opportunity

• Humana does not discriminate against any employee or applicant based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability, or protected veteran status.
• Humana takes affirmative action in compliance with Section 503 of the Rehabilitation Act and VEVRAA.