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Senior Data Engineer

ClassyFull-time$130k - $175kSan Diego, CaliforniaDec 4, 2023

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Classy, an affiliate of GoFundMe, is a Public Benefit Corporation and giving platform that enables nonprofits to connect supporters with the causes they care about. Classy's platform provides powerful and intuitive fundraising tools to convert and retain donors. Since 2011, Classy has helped nonprofits mobilize and empower the world for good by helping them raise over $5 billion. Classy also hosts the Collaborative conference and the Classy Awards to spotlight the innovative work nonprofits are implementing around the globe. For more information, visit www.classy.org.

About the role:

Join us! The Classy team is searching for our next Senior Software Engineer to help our Data and AI Platforms team.

The goal of the Data and AI Platforms team is to build the foundations to power intelligence in GoFundMe’s products and services. Furthermore, data is at the center of all business decisions and product strategy at GoFundMe. As a software engineer on the team, you will play a key role in architecting scalable systems that process and deliver petabytes of data. Your work will enable business analysts and data scientists to generate insights and machine learning engineers to ship models and APIs to drive discovery experiences for GoFundMe app users.

This role requires and expands your technical expertise in a wide variety of technologies involved in distributed data processing, real-time event streaming, data warehousing and delivering robust backend systems to power recommendations. Come join us and build world-class Machine Learning infrastructure and petabyte-scale consumer app telemetry systems!

What you’ll accomplish:

  • Build and manage robust data infrastructure to process and analyze event streams with hundreds of millions of events / month
  • Given requirements and constraints, build and enhance system architecture by leveraging a deep understanding of technologies available for storage, streaming and orchestration
  • Leverage distributed frameworks like Spark to parallelize and scale analysis, feature generation and data preparation
  • Empower all engineers, data analysts and machine learning engineers by warehousing disparate sources of data using Snowflake
  • Develop systems for deploying ML models
  • Establish best practices to test, deploy and release infrastructure and code changes
  • Research and stay up to date on newest approaches and solutions available within AWS and the open source community

What you bring (Required):

  • Have 3+ years of experience with distributed data processing frameworks like Spark
  • Have 3+ years designing, building and deploying backend services to power varied applications
  • Have a good understanding of databases and best practices in optimizing queries
  • Have experience working with data warehousing solutions like Redshift or Snowflake
  • Have experience designing, developing and productionizing APIs 
  • Experience designing, developing and maintaining ETL/data-warehousing pipelines for structured and unstructured data
  • Experience with Kafka/Kinesis and event streaming infrastructure is a plus
  • Understanding of data science and machine learning technologies is a plus
  • Have a B.S. or M.S. in Computer Science or related engineering discipline
  • Proficient in  Python, Scala or other programming languages

Why you’ll love it here: 

  • Market competitive pay
  • Rich healthcare benefits including employer paid premiums for medical/dental/vision (100% for employee only plans and 85% for employee + dependent plans) and employer HSA contributions. 
  • 401(k) retirement plan with company matching
  • Hybrid workplace with fully remote flexibility for many roles
  • Monetary support for new hire setup, hybrid work & wellbeing, family planning, and commuting expenses
  • A variety of mental and wellness programs to support employees   
  • Generous paid parental leave and family planning stipend
  • Supportive time off policies including vacation, sick/mental health days, volunteer days, company holidays, and a floating holiday
  • Learning & development and recognition programs
  • Gives Back Program where employees can nominate a fundraiser every month for a donation from the company
  • Inclusion, diversity, equity, and belonging are vital to our priorities and we continue to evolve our strategy to ensure DEI is embedded in all processes and programs at GoFundMe. Our Diversity, Equity, and Inclusion team is always finding new ways for our company to uphold and represent the experiences of all of the people in our organization.
  • Employee resource groups
  • Your work has a real purpose and will help change lives on a global scale.
  • You’ll be a part of a fun, supportive team that works hard and celebrates accomplishments together. 
  • We live by our core values: consider everything, do the right thing, spread empathy, delight the customer, and give back.
  • We are a certified Great Place to Work, are growing fast and have incredible opportunities ahead!
  • Our commitment to Sustainability. Classy exists to create a sustainable world for all. 

Dedication to Diversity 

Classy is working toward building a more diverse and inclusive environment that is representative of individuals of all backgrounds, experiences, and lifestyles, allowing all employees to feel comfortable being their true, authentic selves in a space that enables productivity and meaningful work.

 

The total annual salary for this full-time position is $130,000 - $175,000 + equity + benefits.  As this is a remote position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. 

Your recruiter can share more about the specific salary range based on your location during the hiring process. 

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at [email protected].

 

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