Remote Data Engineer - Lakehouse & Medallion Architect

RiseWithVishwas

Town of Florida, Northern (NY, KY)

Hybrid

USD 65,000 - 130,000

Full time

14 days+
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Job summary

Carrier Global Corporation in Florida is seeking a Data Engineer to design and maintain batch and micro-batch data pipelines, build medallion-layered data models, and integrate ERP data into cloud-native open lakehouse environments (AWS, GCP, Snowflake). This remote role supports enterprise solutions with a strong emphasis on data quality and governance.

You will work with Python and SQL to implement scalable data ingestion, transformation, and delivery, collaborating with analytics and product

Qualifications

  • 3+ years hands-on data engineering experience with SQL and Python.
  • Experience building production-grade data pipelines (batch and micro-batch).
  • Knowledge of medallion architecture (bronze/silver/gold) and open lakehouse concepts.

Responsibilities

  • Build, monitor, and optimize batch and micro-batch data pipelines.
  • Design ETL/ELT workflows integrating enterprise data sources (ERPs, platforms, external systems).
  • Apply medallion architecture to ensure data quality and reusability.
  • Implement data validation, cataloging, metadata, and lineage monitoring per governance standards.
  • Collaborate with data product leads, architects, and analytics teams in Agile delivery.
  • Support onboarding and operationalization of pipelines and data assets.

Skills

Python
SQL
ETL/ELT
Data Pipelines

Education

Bachelor's degree

Tools

Snowflake
AWS
GCP

Job description

Carrier Global Corporation in Florida is seeking a Data Engineer to design and maintain batch and micro-batch data pipelines, build medallion-layered data models, and integrate ERP data into cloud-native open lakehouse environments (AWS, GCP, Snowflake). This remote role supports enterprise solutions with a strong emphasis on data quality and governance.

You will work with Python and SQL to implement scalable data ingestion, transformation, and delivery, collaborating with analytics and product

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