Data Engineer

Location: United States (100% Remote) Employment Type: Full-Time / Contract (W2) Experience Required: 4–8+ Years Key Responsibilities • Design, build, and maintain scalable ETL/ELT data pipelines for processing large datasets. • Develop and manage data warehouses and data lakes to support business intelligence and analytics. • Write efficient SQL queries and optimize database performance for large-scale data environments. • Work with cross-functional teams including data scientists, analysts, and product teams to understand data requirements. • Implement data quality checks, validation frameworks, and monitoring processes. • Build and maintain cloud-based data infrastructure using platforms such as AWS, Azure, or GCP. • Optimize data workflows and automate data processing tasks. • Ensure data governance, security, and compliance standards are followed. Required Skills & Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field. • 4–8+ years of experience as a Data Engineer or in a similar role. • Strong experience with SQL and database systems. • Proficiency in programming languages such as Python, Java, or Scala. • Hands-on experience with ETL tools and data pipeline frameworks (Airflow, dbt, Informatica, etc.). • Experience with Big Data technologies such as Spark, Hadoop, or Kafka. • Strong knowledge of data modeling, data warehousing, and distributed systems. • Experience with cloud platforms like AWS, Azure, or Google Cloud. Preferred Qualifications • Experience with Snowflake, Redshift, BigQuery, or Databricks. • Familiarity with containerization and DevOps tools (Docker, CI/CD). • Experience working in remote or distributed teams. • Exposure to machine learning data pipelines.