Sprig has pioneered a new approach to user research that helps companies learn from their customers in real-time and deliver award-winning product experiences. Companies like Dropbox, Square, Opendoor, Loom and Shift all use Sprig to ensure user research happens early and often throughout the product development process, so they can build customer-centric products that deliver a sustainable competitive advantage.
Today, we're growing fast and ready for new team members who are passionate about surprising and delighting our own customers.
Sprig is based in San Francisco, CA with offices around the U.S. The company has raised $60M led by Andreessen Horowitz, Accel, and First Round Capital, and have recently been featured in articles by TechCrunch, Crunchbase, and Business Insider.
More about our mission, values, and why it's a great time to join ushere.
Our Commitment to Diversity and Inclusion
We prioritize diversity within our team and value different perspectives, educational backgrounds, and life experiences. We encourage people from underrepresented backgrounds to apply.
About this Role
This is your chance to join a startup in one of the most exciting phases, where you can become an original, founding member of the team and play a vital part in our growth. We’re looking to quickly grow our engineering team and looking for an experienced Sr. Data Engineer to help us scale. This position is based in CA, TX, OR, or WA.
In this role you’ll be working closely with various members of the team to update our data engineering roadmap
Lead numerous critical data engineering projects to ensure pipelines are reliable, efficient, testable, & maintainable
Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
Arbitrate critical decisions correctly considering data best practices, system realities, and numerous stakeholders’ feedback
5+ years of relevant experience
B.A. or M.A. degree in Computer Science
Experience designing, building and operating robust distributed systems.
Experience designing and deploying high performance systems with reliable monitoring and logging practices
Past experience building ETL processes
Experience with data integrations such as informatica, python, spark, etc., data warehousing like Redshift, AWSGlue, Snowflake, Postgres, DynamoDB, Cassandra, etc., & analytics tools like Tableau, Mode, Looker, & scheduling tools like Airflow.