Software Engineer III

The Software Engineer III at Revenue Analytics, Inc. is responsible for building and supporting full stack technical implementations of top-tier products. This involves utilizing Python to develop quality solutions for both front-end applications and cloud computing platforms, while also collaborating with cross-functional teams to enhance user experiences and solve complex problems.

To apply for the Software Engineer III position at Revenue Analytics, Inc., applicants must have a bachelor’s degree or foreign equivalent in Computer Science, Engineering, or a related field along with 3 years of relevant experience. Alternatively, candidates with a master’s degree in a similar field and 1 year of experience will also be considered.

A Software Engineer III at Revenue Analytics should have strong skills in Python programming and be adept in technologies such as Pandas and Flask frameworks. Familiarity with relational databases, and working knowledge of Linux, Unix, cloud computing platforms like AWS, Google Cloud, or Azure, and big data platforms like AWS Athena or Hadoop is also essential.

Yes, the Software Engineer III position at Revenue Analytics, Inc. enables employees to telecommute from any location in the U.S. while still having the option to report to the Atlanta, GA office as needed. This flexibility allows for a great work-life balance.

The salary range for the Software Engineer III position at Revenue Analytics, Inc. is between $122,000 and $130,000 per year. This competitive salary reflects the skills and experience required for the role, ensuring that top candidates are rewarded for their expertise.

In answering this question, highlight specific projects where you used Python, detailing your responsibilities and the impact of your work. Focus on any challenges you overcame and the results achieved, showcasing how your coding skills contributed to project success.

Discuss your hands-on experience with big data platforms like AWS, Athena, or Hadoop. Provide examples of how you've utilized these technologies to analyze large data sets or improve processes, and emphasize any performance optimizations you implemented.

Illustrate your collaborative style by sharing specific examples of past projects where cross-functional teamwork played a vital role. Emphasize your communication skills, adaptability, and commitment to achieving common goals.

Discuss your methodologies for front-end application development, focusing on principles like usability, responsiveness, and performance optimization. Mention any specific frameworks or tools you have used, along with the rationale behind your design choices.

Select a specific incident where you identified and resolved a critical defect. Detail your troubleshooting process, the steps taken to mitigate the issue, and how you communicated with stakeholders during the resolution.

Share your approach to risk management, including identification, assessment, and mitigation strategies. Discuss how you ensure that project timelines are not negatively impacted by potential risks, demonstrating your proactive planning abilities.

Provide insights into your proficiency with relational databases, including specific systems you've worked with. Describe how you've structured data, optimized queries, and ensured data integrity in your projects.

Discuss your experience with cloud computing, focusing on how you've leveraged services from AWS, Google Cloud, or Azure to enhance project scalability and performance. Mention any specific solutions you've implemented and their outcomes.

Outline your methodologies for data analysis, emphasizing tools such as Pandas. Include examples from previous projects where your analytical skills led to actionable insights or improvements in business processes.

Articulate your interest in Revenue Analytics, Inc. by aligning your skills and career goals with the company’s vision. Highlight what excites you about the work culture, the team, and the innovative projects that the company undertakes.