Data / AI Engineer

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.