Junior Software Engineer- Cloud Cost Optimization

Overview 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 build, maintain, and optimize data pipelines and analytics solutions using Databricks and Azure services. Work Style Remote from any of the listed locations. You must reside in close proximity to one of the following: 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 PySpark, 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 DevOps or GitHub 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 processes. Comprehensive benefits package including health, dental, and vision insurance. Competitive, performance‑based incentives. Benefits Health benefits effective day 1 Paid time off, holidays, volunteer time, and jury duty pay Recognition pay 401(k) retirement savings plan with employer match Tuition assistance Scholarships for eligible dependents Parental and caregiver leave Employee charity matching program Network Resource Groups (NRGs) Career development opportunities Interview Format HireVue interview technology will be used to enhance the hiring and decision‑making process. Work‑At‑Home Requirements At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable, or DSL connection is suggested. Satellite, cellular and microwave connection can be used only if approved by leadership. Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will receive a bi‑weekly payment for their internet expense. Humana will provide home or hybrid employees with telephone equipment appropriate to meet business requirements. Work must be performed from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information. Limited Geography Remote This is a remote position but located within a specific geography. Travel Occasional travel to Humana offices for training or meetings may be required. Scheduled Weekly Hours 40 hours per week. Pay Range $80,900 – $110,300 per year. The compensation 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. This job is eligible for a bonus incentive plan. Equal Opportunity Employer Humana is an equal opportunity employer. It does not discriminate against employees or applicants 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 to employ and advance individuals with disability or protected veteran status and bases all employment decisions on valid job requirements. #J-18808-Ljbffr Humana