Data Engineer, Email Operations job in San Francisco

With over 240 million users in 196 countries, Change.org is the world’s largest technology platform for social change. We’re a social impact business, and we’re aiming to build a world where no one is powerless and where creating change is a part of everyday life.

As a Data Engineer in our San Francisco office, you'll be part of a close-knit functional team of 3-5 engineers. You’ll use your skills to manage our email platform, data pipelines and availability of systems that are core to our business.

Here’s what you’ll do as part of our team:

Effective collaboration within team, with partner groups and across regions
Take ownership of - and be responsible for - results
Effectively troubleshoot issues in production environment
Clearly articulate technical details to a variety of audiences
Curiosity and drive to learn
Effective participation in engineering task estimation
Adaptability in the face of new information, requirements or learnings

Required experience and skills:

Data pipeline/ETL experience
SQL proficiency (MySQL, SQL Server, Redshift)
Experience monitoring and debugging production systems
Experience with distributed systems and architectures
Experience integrating with third-party services
Proficiency with Git or other distributed version control systems

Nice to haves:

Experience with Salesforce/SFMC/ExactTarget
Experience with NoSQL data stores e.g. Redis, Cassandra
Experience with AWS Kinesis/Lambda workflows
Experience with REST/SOAP APIs
DevOps/infrastructure experience
Knowledge of additional languages and frameworks (Ruby/Rails, Node.js, Golang)

This is a full-time opportunity. The position is located in San Francisco, CA.

Change.org is committed to being a diverse and inclusive workplace. We encourage applicants of different backgrounds, cultures, genders, experiences, abilities and perspectives to apply.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.