Job Description
Job Description
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Job Title: Data / AI Engineer
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Location: Chicago, IL (4 days onsite)
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EXP: 4–8 years
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Long term Contract
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Job Description
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We are looking for a Data / AI Engineer to build scalable data engineering solutions
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that enable AI, advanced analytics, and machine learning initiatives. This role
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requires a strong foundation in data engineering, AI technologies, cloud platforms,
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and data analysis to support the development of enterprise AI applications.
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The ideal candidate will collaborate with Data Scientists, AI Engineers, Architects,
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and business stakeholders to develop reliable data pipelines, prepare high-quality
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datasets, and support the deployment of AI-driven solutions.
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Your responsibilities will include:
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• Design, develop, and maintain scalable data pipelines supporting AI and
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analytics initiatives.
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• Build ETL/ELT workflows to ingest, transform, and process structured and
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unstructured data.
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• Prepare high-quality datasets for Machine Learning model development and
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AI applications.
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• Collaborate with Data Scientists and AI Engineers to support model training,
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deployment, and monitoring.
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• Perform data analysis and profiling to ensure data quality, consistency, and
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business readiness.
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• Optimize data pipelines for performance, scalability, and reliability across
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cloud platforms.
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• Implement data governance, monitoring, and best practices for enterprise
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data solutions.
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• Troubleshoot data-related issues and continuously improve platform
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performance.
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• Contribute to engineering best practices, documentation, and technical
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reviews.
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Skills Required
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Technical Expertise
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• Strong experience in Data Engineering, ETL/ELT development, and data
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pipeline design.
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• Proficiency in Python, SQL, and modern data processing frameworks.
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• Experience with AI/ML fundamentals and supporting AI-driven applications.
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• Hands-on experience with Azure, Databricks, Apache Spark, or similar cloud
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based data platforms.
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• Strong understanding of data modeling, data warehousing, and distributed
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data processing.
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Data & AI Skills
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• Experience preparing and managing datasets for AI and Machine Learning
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initiatives.
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• Strong analytical and problem-solving skills with experience in data analysis.
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• Familiarity with cloud-native data engineering and AI ecosystem tools.
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• Understanding of modern data architecture and enterprise data management
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principles.
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Professional Skills
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• Excellent communication and collaboration skills.
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• Ability to work effectively with cross-functional engineering and business
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teams.
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• Strong ownership, analytical thinking, and continuous learning mindset.
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Role
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• Data / AI Engineer
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Education / Qualification
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• Bachelor's or master's degree in computer science, Information
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Technology, Engineering, or a related field.
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• 4–8 years of experience in Data Engineering, AI Engineering, or Analytics
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Engineering.
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• Experience building cloud-native data platforms and supporting AI/ML
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initiatives is mandatory.
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• Exposure to Azure, Databricks, Spark, or similar modern data technologies
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is preferred.
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Location
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• Chicago, IL (4 days onsite)
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Being a Mathemagician
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• Embody MathCo’s culture and way of working.
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• Demonstrate ownership and strive for excellence in delivering results.
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• Actively engage and contribute to initiatives fostering company growth.
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• Support diversity and appreciate different perspectives.
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Recognitions
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• Positioned as a Leader in Top Generative AI Service Providers – PeMa
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Quadrant 2023 by AIMResearch.
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• Recognized among Inspiring Workplaces in North America, 2023.
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• Accredited for Inclusive Practices by Great Place to Work Institute, India.
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• Recognized among India’s Best Workplaces™ for Diversity, Equity, Inclusion &
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Belonging 2023 by Great Place To Work® India.