Senior Software Engineer, Data Platform

You will be responsible for:

• Joining each and every one of your colleagues in creating an inclusive workspace;
• Owning, maintaining, and supporting the reliability, architecture, and evolution of our production machine learning and delivery platform;
• Designing, operating, and improving large scale Databricks/Spark pipelines and workflows
• Partner with our data scientists to productionize new data and ML-powered products;
• Leading improvements on the software integration layers between data pipelines and product workflows;
• Growing the team via mentorship and leadership, reviewing technical documents, improving code quality, and improving team performance and processes;
• Acting as a senior technical owner in debugging complex production issues and improving system observability;
• Collaborating with cross-functional teams to support their data infrastructure needs.

Must-have qualifications:

• Extensive hands-on software engineering experience, with a strong track record of delivering production data pipelines or platforms in a mission critical environment
• Strong experience with Python in production systems
• Experience integrating ML models into reliable production data pipelines, including batch inference and model serving patterns
• Experience building and operating Databricks (or Spark) based pipelines
• Experience with SQL
• Experience with at least one major cloud infrastructure provider (GCP, AWS, Azure)
• Experience with supporting business-critical systems with on-call ownership
• Passion, energy, and excitement for progressive and philanthropic causes and all things digital.

Nice-to-have qualifications:

• 5+ years of professional experience;
• Experience building data-intensive applications and warehouses with Databricks;
• Experience with integrating production level applications with AWS;
• Experience supporting ML training or inference pipelines;
• Experience working with cross-functional teams in a dynamic environment.

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