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

• Implement validation, monitoring, and anomaly detection.
• Maintain documentation, lineage, and data governance standards.
• Ensure reliable, audit-ready data processes.
• Monitor pipeline health and resolve failures proactively.

Streaming & Real-Time Processing

• Build and maintain real-time data pipelines.
• Support event-driven architectures and streaming platforms.
• Optimize performance and reliability of streaming workflows.

Collaboration & Analytics

• Partner with analysts, data scientists, and business teams.
• Support reporting initiatives in Power BI, Tableau, Looker, or similar platforms.
• Translate business requirements into scalable data solutions.
• Document pipelines, workflows, and data models.

Infrastructure & Automation