Data Engineer

Ostium Labs • New York, NY

1d • Onsite

About The Position

Ostium is looking for a senior-level data engineer to spearhead our ambitious efforts on the data side. We want to have ambitious goals for our data team; this person will be central to building Ostium's vision for data and executing it. This is an on-site position based in our New York office.

Requirements

• Experience with data modeling tools (DBT, sqlmesh) and data orchestration tools (Airflow, Dagster, Prefect).
• Experience with Postgres, Clickhouse, and other OLTP and OLAP data stores.
• Deep understand of how data is stored, computed, and how to optimize queries.
• Hands-on experience with Terraform, ArgoCD, GitHub Action, Docker, Prometheus, and Grafana.
• Evangelist of Infrastructure as Code (IaC).
• Strong understanding of modern data pipelining and best practices.
• Security Minded - Always looking to decrease security attack vectors.
• AI Power Users - Not a vibe coder, someone who leverages AI effectively, validates outputs, and builds guardrails.
• Solution-Oriented - Engineers will have requests and needs; it's our job to make sure they can move as fast as possible.
• Prioritize And Act - Be a leader and take stock of what's needed, what will deliver the most value, and propose your own work and path forward.
• Humble and Willing to Learn - Be willing to learn from quants, engineers, the ops team, and everyone at this company about everything. We have no room in this company for people stuck in their ways.
• Winner - This is a team sport, and there is a very real scoreboard. We want people who don’t care about scoring the most points. They only care about the team winning and will do whatever it takes.
• Disagree and Commit - Your voice will be heard, and so will all your proposals and plans. But once a decision has been made, whether you agree or not, we expect 100% effort in execution.

Responsibilities

• Maintain, improve, and optimize a new data pipeline to handle massive scale effectively.
• Use 100% IaC to build, maintain, deploy, and manage applications and services.
• Help engineers who are responsible for using the pipeline to understand how it works and how they can leverage it effectively.
• Curate massive data sets, optimize data pipelines, and efficiently querying data.
• Building tools to make ingesting new data a few hours work with AI.
• Structuring the pipeline in a way where any person at this company can ask AI any question to understand whatever they need.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed