Data Engineer - job 1 of 3

About Coda

Coda started with an observation: In a world full of applications, why do documents and spreadsheets still run everything? And why haven't they been meaningfully updated in over 50 years? Coda is a new doc that's familiar and flexible like the documents you're used to, but comes with building blocks you can combine to create docs as powerful as apps. It's a big product with an even bigger mission. And we need your help to spread the word! We're backed by some of the Valley's leading venture capitalists, and have assembled a world-class team across offices in San Francisco, Mountain View, and Seattle, and remote employees all over the US. In fact, all our jobs are open in any location across the US. Here's a quick overview of what we do.

About the Role

As a data engineer you will help design, source and build foundational data sets to power deep product analytics, experimentation, and business warehouses.

Your work will unlock insights allowing our team to execute with speed and confidence. Your data sets and pipelines will allow us to tailor the product experience based on our customers' needs and behaviors, while simultaneously empowering our marketing and sales teams to reach and engage our users.

As a member of Coda's engineering team, you will operate as a software engineer and work broadly across the entire product, servers, infrastructure and data stack. You'll work with a stellar team of passionate, experienced engineers, data scientists, designers, and product managers who have been instrumental in building some of the most widely-used technology products in the world, including YouTube, Google Drive/Docs, Amazon AWS, Pinterest, and Microsoft Azure.

If you are data curious, excited about designing data sets and pipelines, producing insights and shining a light on the business through data, we'd love to hear from you! You have the opportunity to have an outsized impact on the future direction of data within Coda.

Our current stack consists of server infrastructure running on Kubernetes in Amazon AWS, Snowflake for warehousing, Apache Airflow for orchestration, Mode Analytics for dashboarding, Python and SQL for datapipelines. We believe in using the best tool for the job in hand, and don't shy away from solving hard problems!

In this role you will:

• Building robust, efficient ETL pipelines from different sources (S3, Relational Databases, external systems) to Snowflake with Apache Airflow.
• Developing dashboards, company wide datasets that power product analytics, revenue, experimentation, and data oriented product features.
• Gathering and understanding internal data requirements, working in the team to achieve high-quality data ingestion and build systems that can process the data and transform the data, providing ad-hoc access to large data-sets.
• Building pipelines that deliver your datasets into external tools such as Intercom and Salesforce.
• Building expertise around Coda's data and helping grow this data gene among Codans.
• Developing and evangelizing event schemas and logging patterns across the entire engineering team to power product analytics. Doing this with an eye towards security and compliance (such as GDPR, and CCPA).

You may be a great fit for this role if:

• Bachelor's degree or equivalent experience in a technical focused discipline such as computer science, engineering or math.
• You have worked with SQL and data warehousing systems such as Snowflake, Oracle, Redshift, Teradata, SQL Server, etc.
• Experience with workflow management technologies such as Airflow, Luigi, SSIS, etc.
• Experience providing technical leadership and mentor other engineers for the best practices on data design.

How we care for our Codans!

Starting on your first day of employment, Coda offers a wide range of benefits and perks that support eligible employees and their family members. Some of our benefits include:

• Medical, Dental, Vision and Life Insurance
• 401k
• Optional Remote or in-office work
• Commuter Benefits
• Cell & Internet Subsidy
• Lunch Subsidy
• Fitness Subsidy
• Parental Leave
• Annual Educational Stipend