Engineer_Data Engineer_8

Fractal Labs
New York
Workplace: OnsiteFull timeUSD 100,000 - 131,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Python","SQL","ETL","BigQuery","Cloud Composer","Dataproc","Cloud Run Functions","GCP"]

Design, develop, and maintain scalable data pipelines for enterprise-scale data warehousing using GCP (BigQuery, Cloud Composer, Dataproc, Cloud Run Functions) and Python-based frameworks. You will work across heterogeneous datasets to enable data-driven decision making, collaborating with analytics and engineering teams to deliver reliable, scalable data solutions in a fast-paced environment.

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FursaFursa
Fractal Labs
Fractal Labs
8 months ago

Engineer_Data Engineer_8

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Design, develop, and maintain scalable data pipelines for enterprise-scale data warehousing using GCP (BigQuery, Cloud Composer, Dataproc, Cloud Run Functions) and Python-based frameworks. You will work across heterogeneous datasets to enable data-driven decision making, collaborating with analytics and engineering teams to deliver reliable, scalable data solutions in a fast-paced environment.
Location: New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design, develop, and maintain scalable data pipelines across enterprise-scale data warehousing projects.
  • •Collaborate with analytics and engineering teams to integrate data from heterogeneous datasets.
  • •Optimize and monitor data workflows and performance on GCP platforms.
  • •Document data architectures, pipelines, and data quality processes for governance and reuse.
  • •Contribute to data platform improvements and best practices for reliability and scalability.

Pay and Benefits

Salary: USD 100,000 - 131,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability401kPar ParentalPaid Holidays

Key Requirements

  • •Experience designing, developing, and maintaining scalable data pipelines in enterprise-scale data warehousing projects using Google Cloud Platform (BigQuery, Cloud Composer, Dataproc, Cloud Run Functions) and Python-based frameworks.
  • •Strong Python programming skills for data processing and orchestration.
  • •Hands-on experience with GCP data services and ETL/ELT pipelines.
  • •Ability to work with heterogeneous datasets across systems and teams.
  • •Demonstrated ability to design robust, scalable data architectures and pipelines.
Experience:Data engineeringGCPBigQueryETL
Skills:PythonSQLETLBigQueryCloud ComposerDataprocCloud Run FunctionsGCP
Languages:English
Tech Stack:PythonBigQueryCloud ComposerDataprocCloud Run FunctionsGCPSQL

Company Brief

Fractal Labs
Provides AI-driven analytics, decision intelligence, and engineering solutions to Fortune 500 companies, helping enterprises apply advanced analytics and machine learning for marketing, supply chain, finance, and customer experience transformation.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: New York, United States
Founded: 2000
WebsiteLinkedIn