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Inflect
Inflect
11 – 50 Darbinieki
SaaS
Inflect ir SaaS platforma profesionāļiem, kuri strādā ar interneta infrastruktūru. Tā vienā saskarnē apvieno informāciju par savstarpēji savienotiem globālajiem tīkliem, mākoņdatošanas reģioniem un datu centriem, sniedzot neitrālu skatījumu uz nozari un palīdzot lietotājiem izvērtēt infrastruktūras datus, lai pieņemtu ātrākus un labāk informētus lēmumus.
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Vakances uzņēmumā

Senior Data Engineer at Inflect (US Remote)

Build and scale ingestion, data quality, and graph infrastructure for Inflect’s digital infrastructure marketplace. Support InfraSpec and RouteFinder as part of a globally distributed data organization.

USAmerikas Savienotās ValstisAttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
AWSETLKafkaNeo4jPostgresPythonSQL

Apraksts

  • Build and scale ingestion, catalog, and derived-data pipelines across core domains that support InfraSpec
  • Drive the migration from legacy and single-owner scripts to a durable data platform
  • Design the greenfield graph database foundation for RouteFinder
  • Establish data contracts, consistency checks, and quality gates for the Winston automated intake workflow
  • Maintain observability and automated testing across data flows to keep pipeline rework below 20%
  • Govern schemas and data contracts that support downstream confidence scoring and matching algorithms
  • Act as the senior US-based Data Foundation contributor while collaborating with colleagues in Poland and the VP of Technology
  • Work with North America Data Science and ML, Intelligence Engine, and Trust teams to enable downstream capabilities

Prasības

  • Bring 10 or more years of dedicated data engineering experience, including senior individual-contributor work on complex data platform architectures
  • Demonstrate advanced SQL and PostgreSQL proficiency
  • Write production-quality Python at an expert level
  • Have deep experience with modern data warehouse patterns such as dbt or an equivalent tool
  • Design large-scale ELT and ETL pipelines with strong data contracts, schema governance, and data modeling practices
  • Use AWS-native services for storage, orchestration, compute, and data processing
  • Be based in the United States as a full-time employee
  • Be available during US business hours
  • Communicate fluently in written and spoken English across a global team
  • Have hands-on graph database experience, such as Neo4j or AWS Neptune; network topology, geospatial routing, or graph search experience is a plus
  • Have experience with real-time or event-driven ingestion systems such as Kafka, Kinesis, or Flink; this is a bonus qualification
  • Have implemented enterprise data observability or data-quality frameworks such as Great Expectations, Monte Carlo, or Soda; this is a bonus qualification
  • Have built feature pipelines for machine-learning matching models; this is a bonus qualification
  • Be familiar with telecommunications, datacenter, or digital infrastructure data; this is a bonus qualification

Priekšrocības

  • The company covers employee and family health insurance premiums through a major provider
  • Work fully remotely
  • Take unlimited paid time off
  • Access dental and vision insurance through widely used providers
  • Receive stock option grants that begin vesting after the first year and provide ownership in Inflect

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