Data Engineer

We are seeking a highly skilled Data Engineer for one of our staffing partners who is hiring for an financial client - to design, develop, and optimize scalable data pipelines and infrastructure for ML-driven applications. The ideal candidate will have experience in big data technologies, ETL processes, and model deployment to support advanced analytics and AI initiatives. Experience of 2-3 years. Not looking for senior developers due to low pay Salary offered $65-75k per year Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants. Responsibilities Design and build scalable data pipelines to support machine learning workflows. Develop, optimize, and maintain ETL processes for structured and unstructured data. Work with big data frameworks (Apache Spark, Hadoop, Databricks) to process large datasets. Optimize data storage, retrieval, and performance for machine learning applications. Ensure data integrity, security, and compliance with industry standards. Automate data processing workflows using Python, SQL, or Scala. Strong experience in data engineering Hands-on experience with big data technologies (Apache Spark, Hadoop, Snowflake). Knowledge of cloud platforms (AWS, Azure, GCP) for ML model deployment.