Data Engineer

RiseWithVishwas; Town of Florida, Northern (NY, KY); Hybrid; USD 65,000 - 130,000; Full time

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

$64,500.00 - $129,500.00 / 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 & DevOps Concepts