Junior Software Engineer- Cloud Cost Optimization

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We are seeking a Software Engineer 2 to join our cloud cost optimization team.

This role is ideal for early‑career professionals who are eager to learn and grow in Azure‑based data engineering.

You will work closely with senior engineers and architects to help build, maintain, and optimize data pipelines and analytics solutions using Databricks and Azure services.

Work Style

Remote from any of the following locations: Atlanta, GA; Boston, MA; Charlotte, NC; Chicago, IL; Dallas, TX; Fort Lauderdale, FL; Louisville, KY; Nashville, TN; Tampa, FL; or the New York City Metro area.

Key Responsibilities

• Develop and maintain data pipelines and notebooks using Azure Databricks under senior guidance.
• Assist in monitoring cloud spend and resource utilization using Unravel and Azure tools, identify cost anomalies, investigate usage spikes, and collaborate with senior team members to implement cost optimization solutions and provide visibility to leadership.
• Monitor Databricks jobs and clusters, escalating performance or cost issues as needed.
• Collaborate with data engineers, analysts, and cloud architects on data and cost optimization initiatives.
• Troubleshoot data pipeline failures and performance issues.
• Follow data governance, security, and coding best practices.
• Document solutions, processes, and lessons learned.
• Continuously learn and apply new programming skills and technologies to meet evolving project needs.
• Handle assignments with increasing complexity and scope.
• Develop an understanding of systems, technology, and organizational structure within the company.

Education and Experience

• Bachelor’s degree in computer science, Software Engineering, or a related field.
• 0 to 2 years of relevant experience.
• Required Skills
• Experience with Python and SQL.
• Hands‑on experience, coursework, internship, or certification in a major cloud platform (Azure preferred; AWS or GCP also considered).
• Basic understanding or hands‑on exposure to Apache Spark/Azure Databricks.
• Understanding of basic software development practices (e. g., version control, code reviews).
• Strong willingness to learn cloud data engineering and cost optimization concepts.
• Highly motivated, self‑starting team player with a willingness to learn and take on new challenges.
• Comfortable working in a fast‑paced, dynamic environment.
• Demonstrated ability to learn new technologies quickly and adapt to evolving cloud, data, and AI‑driven platforms.
• Experience in the healthcare industry is a plus.
• Strong problem‑solving skills and ability to work effectively in a team.
• Excellent communication skills and attention to detail.
• Eager to adapt to new challenges and technologies.
• Openness to feedback, coaching, and collaboration with peers and senior team members.
• Preferred Skills (Nice to Have)
• Exposure to Py Spark, Delta Lake, or MLflow.
• Familiarity with Power BI or other BI/reporting tools.
• Understanding of cloud cost concepts (auto‑scaling, resource usage).
• Experience with CI/CD tools such as Azure Dev Ops or Git Hub Actions.
• Coursework or project experience with streaming technologies (e. g., Event Hubs, Kafka).
• Azure Fundamentals (AZ‑900), Azure Data Fundamentals (DP‑900), or other cloud certifications are a plus.

What We Offer

• Supportive environment that encourages growth and learning.
• Opportunities to work on high‑impact projects that support healthcare process.
• Comprehensive benefits package including health, dental, and vision insurance.
• Competitive, performance‑based incentives.
• Limited Geography Remote

This is a remote position but located within a specific geography.

• Scheduled Weekly Hours
• Pay Range
• 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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