Jobs → Data & Analytics → Data Engineer

About the Role We are seeking a Data Engineer for a 1-year contract-to-hire position in downtown Chicago, IL or Naperville, IL. This role involves designing, developing, and maintaining scalable data pipelines and supporting machine learning model deployment. Key Responsibilities • Design and develop scalable data pipelines using Python and PySpark • Integrate and transform data from multiple enterprise systems into model-ready datasets • Build and manage feature engineering pipelines for machine learning and GenAI applications • Support deployment, monitoring, and maintenance of machine learning and LLM-based solutions • Collaborate with business stakeholders to understand data requirements and translate business needs into technical solutions • Analyze and validate data quality, identify anomalies, and troubleshoot pipeline issues • Convert legacy SQL-based processes into modern Python/PySpark frameworks • Partner with Data Science teams to operationalize models and deliver business outcomes • Contribute to cloud migration and modernization initiatives within AWS environments • Participate in agile, pod-based delivery teams Requirements • 5+ years of Data Engineering, ML Engineering, or Data Platform experience (3+ years considered for strong candidates) • Strong Python development experience • Hands-on experience with PySpark and large-scale data processing • Advanced SQL skills, including complex query development and optimization • Experience building and supporting data pipelines in enterprise environments • Experience working with AWS services • Strong understanding of data modeling, ETL/ELT processes, and data integration practices • Experience with MLOps and AI/ML model deployment and monitoring