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 project, 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%.