Python Software Engineer

Role Description

Production-grade Python ingestion pipelines for a global data marketplace operating at scale:

• 120M+ files
• 1.4 TB of data delivered weekly
• Dozens of active data products

You design and build the systems that move data reliably from ugly real-world sources into a governed, high-availability estate. Your code runs in production, not in a backlog.

Qualifications

• You write Python the way it was meant to be written: class hierarchies, abstract base classes, dependency injection, polymorphism.
• You build RESTful API integrations that don't break: authentication flows, pagination, error handling, retry logic.
• You write SQL for real work: querying, transformation, pipeline validation.
• You build ingestion pipelines that hold up in production: fault-tolerant, resilient, modular.
• You work on Azure data infrastructure without hand-holding: ADLS, Azure SQL, and the patterns that connect them.
• You operate autonomously: no status meetings that could be a message, no decks that could be a decision.
• You communicate directly: when something is broken or the spec is wrong, you say so with evidence.
• You embrace agentic development: you delegate real work to AI agents, review their output critically, and iterate fast.

Requirements

• Years of experience as a number is not a filter; ability to ship production Python pipelines in 5-day pulse cycles is what matters.
• Specific tooling is not a prerequisite; broad engineering judgment and the instinct to pick up whatever the work demands is essential.
• Pedigree is not a substitute for demonstrated ability to build pipelines that don't fall over in production.

Nice to have

• Azure Databricks and PySpark for high-volume distributed processing scenarios.
• Familiarity with XBRL and iXBRL financial data formats.
• Git/GitHub fluency and experience working in trunk-based or short-lived branch workflows.
• Exposure to near real-time processing patterns.

Benefits

• A team where everyone builds: no layers of management between you and the work.
• AI agents as real teammates: you'll use AI tooling to accelerate development, testing, and documentation.
• Pulse cycles that create natural rhythm without traditional sprint overhead.
• Direct client impact: your pipelines move real data to real consumers in days, not quarters.
• Competitive compensation sized for senior consultants, not blended-team billing rates.

How to apply

• Show us something you built: a pipeline design, a hard ingestion problem you solved, a code pattern you're proud of.
• Skip the cover letter unless you actually want to write one.
• Real conversation: no fluff.