Data Engineer

Job Title : Data Engineer

Position Type : Full-Time, Remote

Working Hours : U.S. client business hours (with flexibility for pipeline monitoring and data refresh cycles)

About the Role :

Our client is seeking a Data Engineer to design, build, and maintain reliable data pipelines and infrastructure that deliver clean, accessible, and actionable data. This role requires strong software engineering fundamentals, experience with modern data stacks, and an eye for quality and scalability. The Data Engineer ensures data flows seamlessly from source systems to warehouses and BI tools, powering decision-making across the business.

Responsibilities :

Pipeline Development :

• Build and maintain ETL / ELT pipelines using Python, SQL, or Scala.
• Orchestrate workflows with Airflow, Prefect, Dagster, or Luigi.
• Ingest structured and unstructured data from APIs, SaaS platforms, relational databases, and streaming sources.

Data Warehousing :

Data Quality & Governance :

Streaming & Real-Time Data :

Collaboration :

Infrastructure & DevOps :

What Makes You a Perfect Fit :

Required Experience & Skills (Minimum) :

Ideal Experience & Skills :

What Does a Typical Day Look Like?

A Data Engineer’s day revolves around keeping pipelines running, improving reliability, and enabling teams with high-quality data. You will :

In essence : you ensure the business has accurate, timely, and trustworthy data powering every decision.

Key Metrics for Success (KPIs) :

Interview Process :