Software Engineer , Data

at  Best Egg

Technology at Best Egg is based on agile principles. We believe in quickly iterating and delivering secure solutions that add value to our customers and business. We learn by testing and failing, then apply those experiences to further our progress. The organization routinely evaluates and incorporates new thinking and technologies into our best practices and standards. Best Egg is a cloud-first organization, embracing cloud technology and the potential it creates for technological innovation. We partner closely with AWS to identify new opportunities to advance our stack and business. We deploy to a modern technology stack leveraging advanced CI/CD and Infrastructure-As-Code targeting both managed containers and serverless platforms based on which solution serves us best.
Members of Best Egg’s Engineering and Enterprise Architecture team partner with key stakeholders, including consumers, marketers, CX researchers, and problem advocates across the enterprise to optimize short- and long-term value streams. Encouraged by our healthy technology risk appetite we expedite feature development using techniques such as feature toggles and multi-variate testing with an aim to maximize learning opportunities and better meet consumer’s needs. We enjoy applying a wide range of tools and techniques to formulate solutions and innovations. We consider internal and external stakeholder satisfaction an important component our service performance.
The Lead Software Engineer, Data role will collaborate closely with stakeholders to understand their data needs and satisfy those needs using a variety of technologies. Daily responsibilities encompass the creation of both straightforward and intricate database views, alongside the conception and implementation of data pipelines through the development of new applications leveraging Python. This role will require the engineer to use SQL to interact with data while also using Python to write application logic to automate their data solutions. When applicable, the engineer will also write automated unit tests to ensure their application continues to adhere to its requirements over the application’s lifetime. A pivotal aspect of this position involves the prompt identification and resolution of issues through the meticulous debugging of data pipelines spanning multiple layers of technology, including Docker, GitHub Actions, Python, SQL, dbt, and various AWS services such as S3, CloudFormation, CloudWatch, Lambda, and Step Functions. At times, the engineer might employ Python or Go to develop internal tools aimed at enhancing the efficiency of the data team’s processes.

REQUIREMENTS

• Strong programming fundamentals
• Experience with SQL and relational databases
• Familiarity with cloud computing environments (AWS, GCP, Azure) and infrastructure as code (Terraform, CloudFormation, Serverless)
• Bachelor’s Degree in Software Engineering, Computer Science, MIS, or equivalent experience.
• Experience with relational databases and SQL
• Experience with Git
• Experience building unit tests
• Experience with Docker and Unix environments
• Experience owning responsibility for production processes
• Excellent documentation and general organization of ongoing tasks, including the ability to evaluate and question business rules.
• You practice empathy and kindness, and you look to help others.

Please refer the Job description for details