Senior Software Engineer - Databases

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re seeking an enthusiastic Senior Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our data pipeline services.

This is a full-time, hybrid position based out of our Oakland office or our Toronto office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use

Java

NoSQL databases: MongoDB, Amazon DynamoDB, Azure Cosmos DB

Relational databases: IBM Db2, CockroachDB

AWS, GCP, Azure

Bazel, Docker, Kubernetes, Github

What You’ll Do

Write and deliver code reliably, along with automated tests (unit and integration)

Break down project work into tasks with effort estimates

Give and receive feedback through code reviews

Independently create technical designs for new features and actively seek feedback

Write common components to be used within the team or department

Mentor other engineers on improving all aspects of their code, according to established coding practices

Collaborate daily with team members to develop new features and improvements while minimizing technical debt

Resolve customer issues in collaboration with customer support

Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring

Skills We’re Looking For

Expertise in Java development

Experience developing reliable software with high-volume data management under strict SLAs

Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)

Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB)

Knowledge of and appreciation for clean code practices

Ability to troubleshoot problematic code and identify root cause(s)

Optional Bonus Skills​

Experience working with change data capture for MongoDB, Amazon DynamoDB and/or IBM Db2

Experience developing data integration tools (ETL or ELT)

Experience identifying and optimizing performance bottlenecks in distributed systems

#LI-AM1 #LI-HYBRID

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales i