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Data Engineer

Job in Northern, Floyd County, Kentucky, USA
Listing for: RiseWithVishwas
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 64500 - 129500 USD Yearly USD 64500.00 129500.00 YEAR
Job Description & How to Apply Below
Location: Northern

$64,500.00 - $ / year | 3+ Yrs Exp | Bachelor's Degree | Data Engineer | Open Lakehouse & Medallion Data Architecture | Remote (Florida, USA) | Full Time

Engineers Batch/Micro-Batch ETL/ELT Pipelines, Medallion Layered Data Models, and Enterprise Open Lakehouse Architectures

Join Carrier Global Corporation as a Data Engineer supporting customer solutions architecture across commercial and operational domains (Remote, FL). Bringing 3+ years of hands‑on data engineering experience with SQL and Python, you will build and optimize production‑ready data pipelines, construct medallion‑layered data models (bronze/silver/gold), and integrate enterprise ERP systems into cloud‑native open lakehouse environments like AWS, GCP, and Snowflake.

Key Responsibilities:

  • Build, maintain, and monitor batch and micro‑batch data ingestion, transformation, and delivery pipelines.
  • Design ETL/ELT workflows that integrate disparate data sources from enterprise ERPs, operational platforms, and external systems.
  • Apply medallion architecture principles (raw, refined, curated) to enforce data quality, consistency, and component reusability.
  • Implement data validation rules, data cataloging, metadata management, and lineage monitoring to align with enterprise governance standards.
  • Partner with data product leads, architects, and analytics teams within an Agile delivery model to translate business requirements into technical tasks.
  • Support customer onboarding and operationalization of delivered pipelines and analytical data assets.

Tools/Technologies Used:

  • Languages & Pipeline Development:
    Python, Advanced SQL, Modern ETL/ELT Frameworks, Data Replication Tools
  • Data Architecture & Governance:
    Open Lakehouse Concepts, Medallion Layered Design (Bronze/Silver/Gold), Data Lineage & Metadata Management
  • Engineering Practices:
    Distributed Data Processing, Agile/Scrum Frameworks, ERP Data Integration, CI/CD & Dev Ops Concepts
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