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 Deploy data services using Docker and Kubernetes. Support CI/CD pipelines and cloud infrastru