Senior Data Engineer

A data services company based in the heart of San Francisco, are looking for a Senior Data Engineer
. They are a team of passionate engineers and data experts that are working on a variety of different projects, primarily in the financial services sector, helping organizations build scalable, modern data platforms. This is a hands‑on, full‑time role with close collaboration alongside the CTO and senior engineers, offering strong influence over technical direction and delivery.

This is an on‑site position in the downtown San Francisco where you will be working as part of a close‑knit team, collaborating on projects in their brand new office. You will be working across end‑to‑end data projects, including:

• Building and maintaining data pipelines and ETL processes.
• Sourcing and integrating third‑party APIs and datasets.
• Batch and near‑real‑time processing (cloud agnostic).
• Downstream analytics and reporting using tools like Sigma Computing and Omnium Analytics.
• Collaborating with the CTO and engineering team to deliver client solutions.

• Strong Python, Big Query, and cloud (GCP or similar)
• Solid ETL and pipeline background
• Comfortable with large‑scale data

• Beam, Dataflow, Spark, or Hadoop
• ML/AI exposure
• Kafka or Pub/Sub

Given the varied nature of the work, a broad range of technology experience is valued. You don’t need to have experience with every tool listed below to be considered, so we encourage you to apply.

This role is 5 days a week on‑site in downtown San Francisco. Looking to pay between $170,000-$220,000 with a bonus between 15‑20%.