Data Engineer

Data Engineer 2

The Data Engineer 2 designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Data Engineer 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.

We are looking for a motivated and detail-oriented Data Engineer II to join our Home Health Data Engineering team. In this role, you will contribute to the design, development, and maintenance of cloud-based data solutions that support business intelligence, analytics, and operational reporting initiatives. You will work closely with senior engineers, architects, analysts, and business stakeholders to build reliable and scalable data pipelines while developing your expertise in modern cloud data platforms. This position is ideal for an engineer who is passionate about data, eager to learn emerging technologies, and interested in growing their skills in Snowflake, Azure, and modern data engineering practices.

What You Will Be Doing

• Develop and maintain data pipelines and integrations that support data ingestion, transformation, and delivery across enterprise data platforms.
• Build and support Snowflake-based solutions, including loading, transforming, and validating data from multiple source systems.
• Assist in developing cloud-native data workflows using Azure services, including Databricks, Storage, and related technologies.
• Contribute to data migration initiatives from on-premises systems to cloud-based platforms, helping modernize data processes and architecture.
• Create and maintain ETL/ELT processes that ensure data accuracy, consistency, and availability for downstream consumers.
• Develop and support API-based integrations, including MuleSoft integrations, to enable secure and reliable data exchange between systems.
• Troubleshoot and resolve data pipeline issues, working with senior engineers to identify root causes and implement corrective actions.
• Collaborate with business analysts, data architects, and stakeholders to understand requirements and deliver effective data solutions.
• Participate in code reviews and testing activities, ensuring solutions adhere to established engineering standards and best practices.
• Support data quality, governance, and security initiatives, ensuring compliance with organizational and regulatory requirements.
• Document technical solutions, processes, and operational procedures to support maintainability and knowledge sharing.
• Continuously learn and adopt new technologies and engineering practices to improve platform capabilities and team effectiveness.

What You Bring

Hands-on experience with Snowflake or similar cloud data warehouse technologies. Working knowledge of Azure cloud services, such as Databricks, Storage Accounts, and Azure DevOps. Proficiency in SQL and experience with Python or another programming language used for data engineering. Understanding of ETL/ELT concepts, data integration patterns, and data transformation techniques. Exposure to MuleSoft or API-based integration platforms is preferred. 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 with the ability to investigate and resolve technical issues. Ability to work collaboratively in a team environment while taking ownership of assigned tasks. Strong communication skills and a willingness to learn from experienced engineers and technical leaders. Experience with healthcare data or regulated environments is a plus.

Required Skills

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

Preferred Experience

• 2–4 years of experience in Data Engineering, Data Integration, or a related technical field.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline (or equivalent experience).
• Experience supporting cloud-based analytics or data platform environments.
• Desire to grow into a senior-level technical contributor through continuous learning and hands-on development.

Work-At-Home Requirements

• WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
• A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
• Satellite and Wireless Internet service is NOT allowed for this role.
• A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$97,900 - $133,500 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

About us

Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.