[Hiring] Software Development Engineer II – Data Engineer @Gather AI

Role Description

As an SDE II, Data Engineer, you'll be one of the first engineers building Gather AI's data foundation from scratch. The work includes:

• Moving analytics off our production PostgreSQL database
• Writing the layered dbt models every product will share
• Defining metrics once so they stay consistent everywhere
• Linking structured records back to the drone images and video they came from

You'll start by shipping well-scoped pipelines and models on our Drone product alongside senior engineers. From there, you'll grow toward owning a data domain end to end: its design, its quality, and its on-call.

This is a fully remote role on our India-based team. We work across multiple time zones, so clear written communication, initiative, and the ability to make progress independently matter.

Qualifications

• 2–5 years building and running production data pipelines
• A degree in Computer Science or equivalent practical experience

Requirements

• Strong SQL, including joins, window functions, and CTEs
• Working understanding of dimensional modelling (facts, dimensions, grain)
• PostgreSQL experience preferred
• Hands-on experience building tested models in dbt, Snowflake Dynamic Tables, Databricks Lakeflow Declarative Pipelines, or equivalent
• Production pipeline code with tests and code review, beyond notebooks or one-off scripts
• Experience running pipelines in Airflow, Dagster, Databricks Lakeflow Jobs, Snowflake Tasks, or equivalent
• Has loaded data from an operational database into a warehouse or lakehouse such as Snowflake or Databricks
• Production experience on Azure or another major cloud, including object storage, Git, CI/CD, and Docker/Kubernetes
• Writes tests alongside code and cares whether data is correct, not just whether the job ran
• Hands-on and curious, digs into problems beyond their own code, brings ideas to the team, and takes review feedback well
• Clear written and spoken English, writes good PRs and documentation, and raises blockers early in a distributed team

Nice to Have

• Change data capture (Debezium, Fivetran) or streaming (Kafka, Event Hubs)
• PySpark or Snowpark
• Terraform or other infrastructure as code
• Semantic layers (dbt Semantic Layer, Cube) or data catalogs (Purview, DataHub)
• Multi-tenant data platforms or row-level security
• Working with image, video, or sensor data alongside structured records
• Logistics, warehousing, or robotics domain experience