Contractor Python Engineer (Data Platform Team)

As a Contractor Python Engineer at Lendable, your primary responsibilities will include developing new tooling for product teams, maintaining and scaling our data infrastructure on AWS and Snowflake, onboarding new data ingestion sources, and optimizing existing CI/CD pipelines. You'll also be tasked with ensuring platform security, robustness, and automation in monitoring data pipelines, making your role crucial in enhancing the overall business value through data utilization.

To be a successful Contractor Python Engineer at Lendable, you should have strong proficiency in software development, especially in Python or similar languages. Experience with cloud services (preferably AWS), infrastructure as code (Terraform), and a knowledge of columnar databases, like Snowflake, are essential. Additionally, you should have solid engineering practices in automated testing and deployment systems, along with excellent communication skills to work effectively with business analysts and stakeholders.

Lendable supports the professional growth of its Contractor Python Engineers by fostering a collaborative environment that encourages continuous learning and development. You'll have the opportunity to work alongside exceptional professionals within your team, participating in knowledge-sharing sessions and workshops. Moreover, Lendable emphasizes innovation and resourcefulness, allowing you to take ownership of projects that significantly impact our business and develop your technical expertise further.

A Contractor Python Engineer at Lendable should be well-versed in various technologies, including Python for software development, AWS for cloud services, Terraform for infrastructure management, and Snowflake as a columnar database. Familiarity with CI/CD tools, particularly GitHub Actions, data orchestration tools like Airflow, and data ingestion platforms such as Fivetran would also be beneficial to fulfill the responsibilities of the role effectively.

The work culture for a Contractor Python Engineer at Lendable is vibrant, collaborative, and inclusive. Employees are encouraged to be resourceful and innovative in their approach to problem-solving. With flexible working arrangements that allow for remote work and team gatherings, Lendable fosters a supportive and engaging workplace where employees enjoy access to great amenities and well-being initiatives. It's a place where you can thrive both professionally and personally.

When answering this question, highlight your specific projects or tasks where you've used Python. Discuss any relevant frameworks or libraries you've worked with, and how you applied Python to solve complex data problems. Tailor your examples to reflect how your experience can add value to Lendable's data platform initiatives.

Discuss specific CI/CD practices you have implemented, such as automated testing or deployment processes. Provide an example of a challenge you faced related to CI/CD and how you resolved it, ensuring you emphasize the outcome and the efficiency gained, especially in a cloud environment like AWS.

Be prepared to talk about the various cloud platforms you've been involved with, ideally emphasizing AWS if applicable. Explain how you have leveraged AWS services such as S3, Glue, or Kinesis in your previous roles, and how these experiences would benefit your work at Lendable.

Detail your methodology for identifying bottlenecks within data pipelines. Share practical techniques you've used in the past, such as profiling data processing times or implementing caching strategies, and explain how these optimizations can enhance the data platform at Lendable.

Provide a specific instance where you worked with team members or stakeholders to gather requirements and deliver a solution. Discuss your communication strategies and how you ensured the technical outcomes met business needs while navigating any challenges along the way.

Outline your approach to automated testing, including testing frameworks and strategies you've implemented. Discuss how this contributes to the reliability of your code and its importance in a fast-paced company like Lendable, where stability and scalability are key.

Talk about the security measures you've previously implemented, such as IAM roles or encryption methods within AWS. Emphasize the importance of adhering to compliance regulations and how you keep your cloud infrastructure secure against threats.

Mention any data ingestion tools you've worked with, like Fivetran or similar platforms. Describe how you utilized these tools to streamline data workflows and your experience troubleshooting ingestion issues.

Discuss your familiarity with Snowflake, outlining specific projects where you've utilized it. Talk about the advantages of using Snowflake for data warehousing and how your experience will contribute to building Lendable’s data architecture.

Show your proactive approach to professional development by naming specific sources you follow, like blogs, webinars, or conferences. Share how you've applied new knowledge in your work or contributed to team discussions at your previous positions.