Data /AI Engineer

About the jobPlease take a moment to review the before applying. We encourage applications only from candidates whose experience closely aligns with the role requirements.About UsTheMathCompany or MathCo® is a global Enterprise AI and Analytics company trusted by leading Fortune 500 and Global 2000 enterprises for data-driven decision-making. Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve enterprise challenges through its hybrid model. NucliOS, MathCo’s proprietary platform, enables connected intelligence at a lower total cost of ownership (TCO).At MathCo, we foster an open, transparent, and collaborative culture, making it a great place to work. We provide exciting growth opportunities and value capabilities and attitude over experience, enabling our Mathemagicians to 'Leave a Mark'.Job Title: Data / AI Engineer Location: Chicago, IL (4 days onsite)EXP: 8–10 yearsLong term Contract We are looking for a Data / AI Engineer to build scalable data engineering solutionsthat enable AI, advanced analytics, and machine learning initiatives. This rolerequires a strong foundation in data engineering, AI technologies, cloud platforms,and data analysis to support the development of enterprise AI applications.The ideal candidate will collaborate with Data Scientists, AI Engineers, Architects,and business stakeholders to develop reliable data pipelines, prepare high-qualitydatasets, and support the deployment of AI-driven solutions.Your responsibilities will include:• Design, develop, and maintain scalable data pipelines supporting AI andanalytics initiatives.• Build ETL/ELT workflows to ingest, transform, and process structured andunstructured data.• Prepare high-quality datasets for Machine Learning model development andAI applications.• Collaborate with Data Scientists and AI Engineers to support model training,deployment, and monitoring.• Perform data analysis and profiling to ensure data quality, consistency, andbusiness readiness.• Optimize data pipelines for performance, scalability, and reliability acrosscloud platforms.• Implement data governance, monitoring, and best practices for enterprisedata solutions.• Troubleshoot data-related issues and continuously improve platformperformance.• Contribute to engineering best practices, documentation, and technicalreviews.Skills Required Technical Expertise • Strong experience in Data Engineering, ETL/ELT development, and datapipeline design.• Proficiency in Python, SQL, and modern data processing frameworks.• Experience with AI/ML fundamentals and supporting AI-driven applications.• Hands-on experience with Azure, Databricks, Apache Spark, or similar cloudbased data platforms.• Strong understanding of data modeling, data warehousing, and distributeddata processing.Data & AI Skills• Experience preparing and managing datasets for AI and Machine Learninginitiatives.• Strong analytical and problem-solving skills with experience in data analysis.• Familiarity with cloud-native data engineering and AI ecosystem tools.• Understanding of modern data architecture and enterprise data managementprinciples.Professional Skills• Excellent communication and collaboration skills.• Ability to work effectively with cross-functional engineering and businessteams.• Strong ownership, analytical thinking, and continuous learning mindset.• Work with Pharma/Life Sciences stakeholders to support data-driven business initiatives.Role • Data / AI EngineerEducation / Qualification• Bachelor's or Master's degree in computer science, InformationTechnology, Engineering, or a related field.• 8–10 years of experience in Data Engineering, AI Engineering, or AnalyticsEngineering.• Minimum 3+ years of Pharma, Life Sciences, Healthcare, Biotechnology, or Clinical Data experience.• Experience building cloud-native data platforms and supporting AI/MLinitiatives is mandatory.• Exposure to Azure, Databricks, Spark, or similar modern data technologiesis preferred.Location • Chicago, IL (4 days onsite)Being a Mathemagician • Embody MathCo’s culture and way of working.• Demonstrate ownership and strive for excellence in delivering results.• Actively engage and contribute to initiatives fostering company growth.• Support diversity and appreciate different perspectives.Recognitions • Positioned as a Leader in Top Generative AI Service Providers – PeMaQuadrant 2023 by AIMResearch.• Recognized among Inspiring Workplaces in North America, 2023.• Accredited for Inclusive Practices by Great Place to Work Institute, India.• Recognized among India’s Best Workplaces™ for Diversity, Equity, Inclusion &Belonging 2023 by Great Place To Work® India.