Data Engineer

Data Engineer – Remote

Position Type: Full-Time, Remote
Working Hours: U.S. Client Business Hours (flexibility for pipeline monitoring, deployments, and data refresh cycles)

About the Role

At Pavago, one of our clients is hiring a Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and business decision-making.

You’ll build reliable data pipelines, optimize data warehouses, ensure data quality, and collaborate with engineering, analytics, and business teams to deliver trusted, high-performance data solutions.

What You’ll Do

Data Pipelines & Integration

• Build and maintain ETL/ELT pipelines using Python, SQL, or Scala.
• Orchestrate workflows with Airflow, Prefect, Dagster, or similar tools.
• Integrate data from APIs, databases, SaaS platforms, files, and streaming sources.
• Develop scalable data ingestion workflows.

Data Warehousing & Modeling

• Manage cloud data warehouses such as Snowflake, BigQuery, or Redshift.
• Design scalable data models and schemas.
• Optimize warehouse performance through partitioning, clustering, and indexing.
• Build analytics-ready datasets for reporting and BI.

Data Quality & Governance