Staff Software Engineer

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

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During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

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

We’re looking for a Staff Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse – all the way from patching software to building new connectors operating on our global Kubernetes compute clusters.

You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, contributing to architectural design and mentoring your junior colleagues. You will understand the key values that make our product great, and implement those values in the many small decisions you make every day as a product designer.

This is a full-time position based out of our Bangalore 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, SQL, Cloud Data Warehouses, AWS, GCP, Azure, Oracle, Grafana

What You’ll Do

You'll be working with Cloud APIs, SQL, and NoSQL databases etc.

You'll be working on the core data pipeline that moves terabytes of data from all our customers to their data warehouse.

You will process the data into clean, incremental, automated updates.

As a technical leader in the team, you will drive engineering excellence within the technology team, come up with architecture and design, work closely with engineers in the team to review designs, and contribute directly to code.

Skills We’re Looking For

8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion

Experience in architecting reliable distributed systems, with an emphasis on high-volume data management within enterprise and/or web-scale products and platforms that operate under strict SLAs

Experience and expertise in building back-end services and data systems

Broad technical knowledge which encompasses Software development and automation

Experience with use of wide array of algorithms and data structures

Strong knowledge and expertise in working with Java, AWS, Cloud-based APIs, databases, data warehouses, software design and programming best practices

Entrepreneurial mindset, excellent communication, and technical leadership skills

Mentoring and guiding junior staff

Create and contribute to an environment that is geared to innovation, high productivity, high quality and customer service

Strong knowledge and expertise in writing SQL queries and understanding of query execution plans

Proficiency with observability tools like Grafana

Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation

Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals

Bonus Skills​

Experience in data processing (ETL, ELT) and/or cloud-based platforms

Experience with Data Warehouses like snowflake, Redshift, SQL Server.

Experience with Kubernetes and Docker

Expertise with database management systems and storage systems.

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