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We are looking for an experienced software engineer to own, maintain, and evolve our production data and machine learning platform. This role is responsible for the reliability, architecture, and scalability of the pipelines and systems that power our core data products, which transform millions of data points into unparalleled opportunities – supporting everything from electing Democrats to combating climate change throughout the world.
Job Responsibility:
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 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:
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
What we offer:
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