Senior Data Engineer @Inflect
Data and Analytics
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted Today

[Hiring] Senior Data Engineer @Inflect

Today - Inflect is hiring a remote Senior Data Engineer. 💸 Salary: unspecified 📍Location: USA

Role Description

As a Senior Data Engineer on the Data Foundation team at Inflect, you report directly to the VP of Technology and you will sit on the platform's critical path, owning the ingestion → catalog → derived pipeline and the core InfraSpec datasets that power our entire marketplace. In this role, the accuracy and integrity of our entire product is directly capped by the quality of the data platform you build and maintain. Working closely with our VP of Technology in the US, a Data Foundation contractor in Poland, and cross-functional partners, you will transform raw, disparate digital infrastructure data into a resilient, high-confidence data platform. You are an architect of durable platform data systems, ensuring Inflect’s data engine—including our greenfield graph layer for RouteFinder—is as fast, reliable, and precise as the global infrastructure it maps.

Qualifications

  • 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.

Requirements

  • 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.
  • US-based full-time employee, working US business hours with fluid written and verbal English communication across a global team.

Bonus Qualifications

  • 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.

Benefits

  • Fully covered health insurance options through a major health insurance provider for both you and your family (you pay $0).
  • 100% remote work environment - seriously!
  • Unlimited PTO.
  • Dental and Vision insurance available with widely used providers.
  • Option grants begin vesting after year 1 - you own a piece of Inflect.
Before You Apply
️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Data Engineer @Inflect
Data and Analytics
Salary unspecified
Remote Location
🇺🇸 USA Only
Employment Type full-time
Posted Today
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️
🇺🇸 Be aware of the location restriction for this remote position: USA Only
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply ✓
Applied ✓
Sent Follow-Up ✓
Interview Scheduled ✓
Interview Completed ✓
Offer Accepted ✓
Offer Declined ✓
Application Denied ✓
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