AWSAzureCloudGoogle Cloud PlatformPythonSparkSQLMachine LearningMLDatabricksGCPGoogle CloudLeadershipRemote Work
About this role
Role Overview
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.
Requirements
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.
5+ years of professional experience (Nice-to-have)
Experience building data-intensive applications and warehouses with Databricks (Nice-to-have)
Experience with integrating production level applications with AWS (Nice-to-have)
Experience supporting ML training or inference pipelines (Nice-to-have)
Experience working with cross-functional teams in a dynamic environment (Nice-to-have)
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Python
Spark
SQL
Benefits
100% employer-paid premiums for platinum-level medical plan on a national health care network
100% employer-paid life insurance and short term disability
50% employer-paid vision and dental insurance
401(k) with 3% employer contribution
17 vacation days in addition to 12 paid holidays, sick days, bereavement leave, and a volunteer day off.
Paid parental leave at 100% of your salary
Financial support for reproductive and transgender care
Flexible telecommute and remote work policies
Company issued Mac products for home offices
Cell phone service reimbursement, meal and ride-share reimbursement, and other perks available