Senior Data Engineer

Inflect

. Build, optimize, and scale end-to-end ingestion → catalog → derived pipelines across all core data domains feeding InfraSpec .

Posted 9/30/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in SQL and Postgres, expert Python coding abilities, and extensive experience in designing large-scale ELT/ETL pipelines. Proven capability in architecting data platforms, implementing data contracts, and ensuring data quality across complex data environments.

Highest-signal resume keywords

Data Engineering ExperienceSQL ProficiencyPython Coding AbilitiesAWS Native ServicesGraph Database Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPostgresPythonELT/ETL PipelinesData ContractsSchema GovernanceData ModelingGraph DatabasesReal-Time Ingestion ArchitecturesData Observability Frameworks

Soft Skills

Fluid English Communication

Tools & Technologies

AWSDbtKafkaKinesisFlinkGreat ExpectationsMonte CarloSoda

Industry Keywords

TelecommunicationsDatacenterDigital Infrastructure

Tech Stack

Tools & technologies

AWSETLKafkaNeo4jPostgresPythonSQL

About the role

Key responsibilities & impact

Build, optimize, and scale end-to-end ingestion → catalog → derived pipelines across all core data domains feeding InfraSpec
Lead technical migration away from legacy and single-owner scripts toward a durable platform
Architect 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 keep pipeline rework under the 20% target threshold
Define, enforce, and maintain data schemas and contracts across ingestion pipelines for downstream confidence scoring and matching algorithms
Serve as the US-based senior anchor on Data Foundation, partnering daily with team members in Poland and the VP of Technology
Partner with NA Data Science / ML engineers, Intelligence Engine teams, and Trust teams to power downstream capabilities

Requirements

What you’ll need

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
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
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 (bonus qualification)
Experience implementing real-time or event-driven ingestion architectures (Kafka, Kinesis, Flink, etc.) (bonus qualification)
Direct experience setting up enterprise data observability or data-quality frameworks (Great Expectations, Monte Carlo, Soda, etc.) (bonus qualification)
Experience building feature pipelines for ML matching models (bonus qualification)
Familiarity with telecommunications, datacenter, or digital infrastructure domain data (bonus qualification)

Benefits

Comp & perks

Fully covered health insurance options through a major health insurance provider for both you and your family (you pay $0)
100% remote work environment
Unlimited PTO
Dental and Vision insurance available with widely used providers
Option grants begin vesting after year 1 - you own a piece of Inflect