Duckbill
Technology
SoftwareEngineer,Platform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer, Platform at Duckbill. Skills: Data infrastructure, Data processing, Data systems. Own data infrastructure. Build streaming data processing”
Industry & Context.
Dig until you understand why; Figure things out without a spec
What They're Looking For.
Must Have
Meaningful experience with data products, Experience with streaming or event-driven data, Experience with batch data, Comfortable with Python and SQL, Comfortable with columnar databases, Comfortable with cloud storage, Fastidious about data quality, Ability to figure things out without a spec, Process for when schemas evolve
Nice to Have
Built systems that reconcile streaming and batch data
What You'll Do.
Own data infrastructure
Build streaming data processing
Maintain streaming data processing
Build batch data processing
Maintain batch data processing
Build contract application engine
Enrich and transform data
Match usage to contract terms
Apply negotiated contract rates
Produce financial outputs
Master provider billing schemas
Diagnose data anomalies
Document tribal knowledge
Design data model for multi-provider support
Normalize data across providers
Handle cross-provider queries
Keep provider-native detail accessible
Build bulletproof data validation
Design quality control systems
Catch issues before customers
Optimize for performance at scale
Design storage patterns
Design partitioning strategies
Design query approaches
Collaborate with backend engineers
Answer data questions
How You'll Work.
Team & Collaboration
Backend engineers; Product team
Full Job Description
We're building Skyway, a platform to help companies find, procure, manage, and forecast hyperscaler, inference, and GPU infrastructure. With the explosive growth of AI, companies are signing the largest infrastructure agreements in history and doing it all with spreadsheets and fingers-in-the-wind. Skyway provides structure and data to make the problem suck a whole lot less. Our customers are the strategic finance and engineering leaders at AI labs, inference providers, neoclouds, and AI-native software companies who are making seven, eight, nine, ten-figure compute decisions using data that flows through our systems. Under the hood, we're turning unstructured agreements—hyperscaler private pricing agreements, AI lab MSAs and prepaid credits, neocloud reserved capacity—into structured data, dynamically recalculating bills against both contract and public pricing, and giving finance and engineering a single shared set of numbers for what they've consumed, are consuming, and will consume. Our goal is to be the system every AI-native company runs its compute strategy on: forecasting, scenario modeling, commitment tracking, invoice validation, benchmarking, and purchasing, all on top of the best proprietary pricing dataset in the world. WHAT YOU'LL DO Own the data infrastructure that powers everything. Build and maintain both streaming and batch data processing that process hundreds of millions of rows of billing data per customer, whether the data is streamed via OTel, near-realtime API pulls, or batched S3 ingestion. Build the contract application engine. Skyway doesn't just ingest consumption data—we also enrich and transform it substantially. You'll work on the logic that matches usage lines to contract terms, applies negotiated contract rates, and produces the financial outputs customers rely on. Getting this right is what separates us from being “a data pipeline with a graph on it” and a proper financial product. Become an expert on AI and cloud billing data. You'
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