DataEngineer

### **Job Title: Data Engineer** **Position Type:** Full-Time, Remote **Working Hours:** U.S. client business hours (with flexibility for pipeline monitoring, deployments, and data refresh cycles) ### **About the Role** Our client is seeking a Data Engineer to design, build, and maintain scalable data infrastructure and reliable data pipelines that power analytics, reporting, and operational decision-making across the business. This role requires strong software engineering fundamentals, deep experience with modern data stacks, and a passion for building clean, reliable, and high-performance data systems. The Data Engineer will ensure data flows seamlessly from source systems into warehouses, dashboards, and downstream applications while maintaining high standards for quality, governance, and scalability. The ideal candidate is analytical, detail-oriented, and comfortable working across engineering, analytics, and business teams to deliver trustworthy and actionable data. ### **Responsibilities** ### **Pipeline Development & Data Integration** • Build, maintain, and optimize ETL/ELT pipelines using Python, SQL, or Scala • Orchestrate workflows using Airflow, Prefect, Dagster, or similar orchestration tools • Ingest structured and unstructured data from APIs, SaaS platforms, databases, files, and streaming systems • Develop scalable connectors and automated ingestion workflows ### **Data Warehousing & Modeling** • Manage and optimize cloud data warehouses such as Snowflake, BigQuery, or Redshift • Design scalable schemas using star and snowflake modeling techniques • Implement partitioning, clustering, indexing, and performance optimization strategies • Build clean, analytics-ready datasets for business intelligence and reporting use cases ### **Data Quality, Governance & Reliability** • Implement validation checks, anomaly detection, logging, and monitoring to ensure data integrity • Enforce naming conventions, lineage tracking, and documentation standards using too