Senior Software Engineer, Data Delivery

The Senior Software Engineer in Data Delivery at Ridgeline is responsible for designing and building scalable and reliable data pipelines, developing data APIs and SDKs, and ensuring data quality through robust testing and validation processes. Collaborating with cross-functional teams to deliver data-driven solutions and mentoring junior engineers are also key responsibilities in this role.

To qualify for the Senior Software Engineer in Data Delivery position at Ridgeline, candidates should have a minimum of 5 years of software engineering experience with a strong emphasis on data engineering and distributed systems. Proficiency in programming languages like Python, Kotlin, or Java, along with advanced SQL skills, is essential. Familiarity with big data tools and cloud platforms, particularly AWS, is highly desirable.

Ridgeline is committed to employee development and offers numerous opportunities for career advancement. As a Senior Software Engineer in Data Delivery, you will have the chance to take ownership of projects, mentor junior engineers, and engage in continuous learning. Additionally, Ridgeline fosters an innovative culture that encourages employees to bring their best selves to work.

In the role of Senior Software Engineer in Data Delivery at Ridgeline, you will work with an array of cutting-edge technologies, including AI tools like GitHub Copilot and ChatGPT, cloud services (preferably AWS), and big data technologies such as Kafka and Spark. You'll also leverage containerization tools like Docker and Kubernetes to create robust, scalable systems.

Senior Software Engineers at Ridgeline enjoy an attractive compensation package that includes a starting salary range of $140,000-$165,000, unlimited vacation, educational reimbursements, and comprehensive health benefits. Ridgeline also offers stock options and fosters a people-first culture that prioritizes employee well-being and growth.

When discussing your experience with data pipeline design, focus on specific projects where you were responsible for building, maintaining, or optimizing data pipelines. Highlight the tools and methodologies you used, such as ETL processes, and provide examples of how your work improved data quality or analytics capabilities. This shows your hands-on experience and understanding of the demands of the Senior Software Engineer role.

Be ready to discuss your proficiency in programming languages like Python, Kotlin, or Java, and detail any relevant projects you've completed using these languages. Mention the specific tools you’re familiar with, such as AWS services or big data technologies, and explain how your expertise can contribute to the initiatives at Ridgeline, specifically in data delivery.

In your response, emphasize the importance of robust testing, validation, and monitoring processes. Discuss the specific strategies you employ to maintain data quality, such as implementing automated testing frameworks or conducting regular audits. Providing examples will reinforce your understanding of best practices in data engineering, relevant to the Senior Software Engineer role.

Share a detailed example of how you mentored a junior engineer, touching on your approach, the challenges faced, and the results. Highlight the importance of fostering a culture of learning, as mentoring is a key aspect of the Senior Software Engineer role at Ridgeline. Discuss how the experience not only benefited the junior engineer but also enhanced project outcomes or team dynamics.

Discuss specific projects where you have utilized AWS services, detailing the architecture and solutions you implemented. Focus on how your experience with cloud platforms aligns with the requirements of the Senior Software Engineer position at Ridgeline. Mention any challenges you overcame and the impact your solutions had on the team's efficiency and outcome.

Highlight your communication and collaboration skills by providing examples of successful projects where you worked closely with product managers and other engineering teams. Explain how you ensure alignment on project goals and timelines, and how you adapt your approach based on varying team dynamics. This will demonstrate your fit for the collaborative environment at Ridgeline.

In your answer, discuss your understanding of Continuous Integration and Continuous Deployment practices specific to data engineering. Share insights on tools and processes you use to automate testing and deployments, ensuring data reliability and minimizing downtime. Provide examples of how you’ve implemented these practices in past roles, aligning with the expectations for the Senior Software Engineer at Ridgeline.

Discuss a specific project setback you faced and detail how you approached the situation. Explain how you identified the problem, collaborated with your team to devise a solution, and the steps you took to get the project back on track. Demonstrating resilience and strategic problem-solving is critical for the Senior Software Engineer role.

Talk about the monitoring tools and techniques you use to ensure data pipeline health and reliability. Describe any metrics or KPIs you track regularly and how they impact decision-making within your projects. Emphasizing your proactive approach to monitoring aligns perfectly with the expectations for the Senior Software Engineer position at Ridgeline.

Share your passion for data engineering, discussing what excites you about building systems that drive business insights and innovation. Mention any specific projects or technologies that have inspired you, connecting your motivation to the mission of Ridgeline in revolutionizing the investment management industry.