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Develop and maintain cloud-based data pipelines, Snowflake solutions, ETL/ELT processes, and API integrations, including support for migration from on-premises systems to Azure. Collaborate with engineers, architects, analysts, and stakeholders to troubleshoot issues, uphold data quality and security, test and review code, and document solutions.
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
Preferred Experience
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40Pay 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.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
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.
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