Senior Data Engineer - fully remote!

Inflect is revolutionizing how companies buy and sell digital infrastructure through its marketplace and advisory services. The Senior Data Engineer will own and scale the Data Foundation platform, including ingestion, catalog, derived pipelines, InfraSpec datasets, data contracts, observability, and a graph database layer for RouteFinder. The role also partners with data science, engineering, trust, and global teams to ensure accurate, reliable data for matching and confidence-scoring capabilities.

Responsibilities:

• Build, optimize, and scale end-to-end ingestion → catalog → derived pipelines across all core data domains feeding InfraSpec
• Lead the technical migration away from legacy and single-owner scripts toward a durable platform, including architecting the greenfield graph database layer for RouteFinder
• Implement and enforce strict data contracts, consistency checks, and quality gates backing the Winston automated intake workflow
• Maintain strict observability and automated testing across all data flows to systematically keep pipeline rework under our 20% target threshold
• Define, enforce, and maintain data schemas and contracts across ingestion pipelines to ensure downstream reliability for confidence scoring and matching algorithms
• Serve as the US-based senior anchor on Data Foundation, partnering daily with team members in Poland (CET) and aligned closely with the VP of Technology
• Partner tightly with NA Data Science / ML engineers, Intelligence Engine teams (matching quality), and Trust teams (audit and analytics data) to power downstream capabilities

Requirements:

• Extensive hands-on experience building scalable ingestion, catalog, and derived pipelines with strict schema enforcement and data contracts
• A track record of engineering bulletproof data quality frameworks, testing protocols, and monitoring to keep pipeline rework targets under 20%
• Expert-level command of SQL, Postgres, Python, modern data warehousing, and deep cloud-native AWS data ecosystem tools
• Proven capability to migrate single-owner legacy systems onto scalable, multi-tenant platform architectures - including graph database layer design
• Strong partnership skills for collaborating with global engineering, data science/ML, and trust/analytics teams across time zones
• 10+ years of dedicated data engineering experience, with demonstrated scope as a senior individual contributor handling complex data platform architectures
• Advanced proficiency in SQL and Postgres, expert Python coding abilities, and deep hands-on mastery with modern data warehouse patterns (dbt or equivalent)
• Extensive experience designing large-scale ELT/ETL pipelines, data contracts, schema governance, and robust data modeling paradigms
• Deep practical experience leveraging AWS native services for storage, orchestration, compute, and data processing
• fluid written and verbal English communication across a global team
• Hands-on experience with graph databases (e.g., Neo4j, AWS Neptune), ideally applied to network topology, geospatial routing, or graph-based search models (specifically applicable to RouteFinder)
• Experience implementing real-time or event-driven ingestion architectures (Kafka, Kinesis, Flink, etc.)
• Direct experience setting up enterprise data observability or data-quality frameworks (Great Expectations, Monte Carlo, Soda, etc.)
• Experience building feature pipelines for ML matching models, alongside familiarity with telecommunications, datacenter, or digital infrastructure domain data