M
Data / AI Engineer
MathCo
3 hours ago
Full-time
On-site
Chicago, Illinois, United States
Job Description
Job Title: Data / AI Engineer Location: Chicago, IL (4 days onsite) EXP: 4–8 years Long term Contract
Job Description
We are looking for a
Data / AI Engineer
to build scalable data engineering solutions that enable AI, advanced analytics, and machine learning initiatives. This role requires 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-quality datasets, and support the deployment of AI-driven solutions.
Your responsibilities will include:
• Design, develop, and maintain scalable data pipelines supporting AI and analytics initiatives. • Build ETL/ELT workflows to ingest, transform, and process structured and unstructured data. • Prepare high-quality datasets for Machine Learning model development and AI 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, and business readiness. • Optimize data pipelines for performance, scalability, and reliability across cloud platforms. • Implement data governance, monitoring, and best practices for enterprise data solutions. • Troubleshoot data-related issues and continuously improve platform performance. • Contribute to engineering best practices, documentation, and technical reviews.
Skills Required
Technical Expertise • Strong experience in Data Engineering, ETL/ELT development, and data pipeline 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 cloud based data platforms. • Strong understanding of data modeling, data warehousing, and distributed data processing.
Data & AI Skills
• Experience preparing and managing datasets for AI and Machine Learning initiatives. • 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 management principles.
Professional Skills • Excellent communication and collaboration skills. • Ability to work effectively with cross-functional engineering and business teams. • Strong ownership, analytical thinking, and continuous learning mindset.
Role • Data / AI Engineer Education / Qualification
• Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field. • 4–8 years of experience in Data Engineering, AI Engineering, or Analytics Engineering. • Experience building cloud-native data platforms and supporting AI/ML initiatives is mandatory. • Exposure to Azure, Databricks, Spark, or similar modern data technologies is 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 – PeMa Quadrant 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.
Job Title: Data / AI Engineer Location: Chicago, IL (4 days onsite) EXP: 4–8 years Long term Contract
Job Description
We are looking for a
Data / AI Engineer
to build scalable data engineering solutions that enable AI, advanced analytics, and machine learning initiatives. This role requires 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-quality datasets, and support the deployment of AI-driven solutions.
Your responsibilities will include:
• Design, develop, and maintain scalable data pipelines supporting AI and analytics initiatives. • Build ETL/ELT workflows to ingest, transform, and process structured and unstructured data. • Prepare high-quality datasets for Machine Learning model development and AI 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, and business readiness. • Optimize data pipelines for performance, scalability, and reliability across cloud platforms. • Implement data governance, monitoring, and best practices for enterprise data solutions. • Troubleshoot data-related issues and continuously improve platform performance. • Contribute to engineering best practices, documentation, and technical reviews.
Skills Required
Technical Expertise • Strong experience in Data Engineering, ETL/ELT development, and data pipeline 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 cloud based data platforms. • Strong understanding of data modeling, data warehousing, and distributed data processing.
Data & AI Skills
• Experience preparing and managing datasets for AI and Machine Learning initiatives. • 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 management principles.
Professional Skills • Excellent communication and collaboration skills. • Ability to work effectively with cross-functional engineering and business teams. • Strong ownership, analytical thinking, and continuous learning mindset.
Role • Data / AI Engineer Education / Qualification
• Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field. • 4–8 years of experience in Data Engineering, AI Engineering, or Analytics Engineering. • Experience building cloud-native data platforms and supporting AI/ML initiatives is mandatory. • Exposure to Azure, Databricks, Spark, or similar modern data technologies is 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 – PeMa Quadrant 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.