Fivetran
About this role
Fivetran moves customer data into warehouses so it arrives ready to query, and this is a seat on the
core team that owns those pipelines. You design and build features and performance improvements for
highly scalable distributed data pipelines on the cloud, review designs and code, and take a turn in
the on call rotation. The stack is Java 17 with JUnit 5, Docker and Kubernetes, AWS, GCP and Azure,
SQL and BigQuery, built with Bazel and BuildKite. The company is mid merger with dbt Labs, and the
posting says plainly that you will see both names during recruiting, so do not be thrown when the
brand switches partway through. Apply if you want distributed systems work where correctness matters
more than feature velocity, since the product's whole promise is that the data is right.
core team that owns those pipelines. You design and build features and performance improvements for
highly scalable distributed data pipelines on the cloud, review designs and code, and take a turn in
the on call rotation. The stack is Java 17 with JUnit 5, Docker and Kubernetes, AWS, GCP and Azure,
SQL and BigQuery, built with Bazel and BuildKite. The company is mid merger with dbt Labs, and the
posting says plainly that you will see both names during recruiting, so do not be thrown when the
brand switches partway through. Apply if you want distributed systems work where correctness matters
more than feature velocity, since the product's whole promise is that the data is right.
Who this is for
Requirements. 5+ years of experience in the software industry with a passion for solving complex
software engineering problems. A software engineering foundation, specifically experience designing
and developing reusable libraries and experimentation platforms for backend and frontend from
scratch using industry best practices. Experience working with distributed systems. Demonstrated
ability to write high quality code.
Technologies you would use, as listed. Java 17 and JUnit 5. Docker and Kubernetes. AWS, GCP and
Azure. SQL and BigQuery. Bazel and BuildKite.
Day to day. Design and implement features and performance improvements for highly scalable
distributed data pipelines on the cloud. Develop, maintain and test code. Conduct design and code
reviews. Work with peers, product managers and customer support to ship with quality, performance and
scalability. Understand and fix performance and scalability problems. Participate periodically in the
on call rotation. Participate in the hiring process. Mentor junior developers.
Office reality, stated in writing. "This is a full-time position based out of our Bangalore office."
The hybrid model is defined as two days in the office each week. That is more specific than most
postings manage and worth taking at face value.
The merger. Fivetran and dbt Labs are combining, and the posting warns you will see references to
both companies through the recruiting process as teams, systems and career sites integrate. Not a
problem, just expect it.
Who this is for. A backend engineer with five or more years who wants data infrastructure rather than
application work. Mentoring and hiring are in the responsibilities, so this is a senior seat in
practice as well as title, but there is no people management in it.
⚠️ One note on Fivetran postings generally. Its board publishes an internal "Priority Status" field on
some requisitions, and values like "P3 (Future Open)" and "P2 (Internal Resources)" appear on roles
that are not open to external applicants right now. This posting carries no such flag, which is why
it is here and two other Fivetran roles are not.
software engineering problems. A software engineering foundation, specifically experience designing
and developing reusable libraries and experimentation platforms for backend and frontend from
scratch using industry best practices. Experience working with distributed systems. Demonstrated
ability to write high quality code.
Technologies you would use, as listed. Java 17 and JUnit 5. Docker and Kubernetes. AWS, GCP and
Azure. SQL and BigQuery. Bazel and BuildKite.
Day to day. Design and implement features and performance improvements for highly scalable
distributed data pipelines on the cloud. Develop, maintain and test code. Conduct design and code
reviews. Work with peers, product managers and customer support to ship with quality, performance and
scalability. Understand and fix performance and scalability problems. Participate periodically in the
on call rotation. Participate in the hiring process. Mentor junior developers.
Office reality, stated in writing. "This is a full-time position based out of our Bangalore office."
The hybrid model is defined as two days in the office each week. That is more specific than most
postings manage and worth taking at face value.
The merger. Fivetran and dbt Labs are combining, and the posting warns you will see references to
both companies through the recruiting process as teams, systems and career sites integrate. Not a
problem, just expect it.
Who this is for. A backend engineer with five or more years who wants data infrastructure rather than
application work. Mentoring and hiring are in the responsibilities, so this is a senior seat in
practice as well as title, but there is no people management in it.
⚠️ One note on Fivetran postings generally. Its board publishes an internal "Priority Status" field on
some requisitions, and values like "P3 (Future Open)" and "P2 (Internal Resources)" appear on roles
that are not open to external applicants right now. This posting carries no such flag, which is why
it is here and two other Fivetran roles are not.
Apply on company site
Opens www.fivetran.com, the employer's own application page. Applying is always free.