Lead - Data / AI Native Engineer

Tech Mahindra; St. Louis (MO); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

Dental insurance

Life insurance

Disability insurance

Paid time off

Job summary

Tech Mahindra in the United States (St. Louis) is seeking a senior data engineering professional with 8+ years in data and software engineering.

The role requires 3+ years leading data initiatives and building enterprise-scale platforms, pipelines, and cloud-native analytics, with expertise in Spark, PySpark, Databricks, and AI-assisted development tools. Responsibilities include developing ETL/ELT frameworks, enabling scalable data ingestion, processing, storage, and analytics, and leveraging

Qualifications

• Bachelor’s degree or higher is required.
• 8+ years of data engineering and software engineering experience.
• 3+ years leading complex data engineering initiatives or teams.
• Experience building enterprise-scale data platforms and pipelines.
• Experience delivering cloud-native analytics and AI solutions.
• Develop ETL/ELT frameworks for ingesting, transforming, and publishing data.
• Implement high-volume distributed processing using Spark and PySpark.
• Leverage AI-assisted development tools to accelerate productivity.

Skills

Data engineering

Software engineering

Team leadership

ETL/ELT frameworks

Cloud-native analytics

Spark

PySpark

AI-assisted development

Education

Bachelor’s degree or higher

Tools

Databricks

AWS EMR

Spark

PySpark

GitHub Copilot

Claude Code CLI

Job description

A Bachelor’s or Higher Degree is the minimum entry required for the position

• 8+ years of Data Engineering and Software Engineering experience.
• 3+ years leading complex data engineering initiatives or engineering teams.
• Proven experience building enterprise-scale data platforms and pipelines.
• Experience delivering cloud-native analytics and AI solutions. Build highly available, secure, and scalable cloud-native data solutions.
• Develop ETL/ELT frameworks for ingesting, transforming, and publishing enterprise data.
• Implement high-volume distributed processing using Spark and PySpark.
• Leverage GitHub Copilot, Claude Code CLI, and AI-assisted development tools to accelerate engineering productivity.

Technical Skills

• Build Proof of Concepts (POCs) and MVPs using AI-powered development approaches.
• Develop cloud-native solutions leveraging AWS and Databricks ecosystems.
• Build scalable architectures for data ingestion, processing, storage, and analytics.
• Strong experience in building enterprise-grade data pipelines, modern Lakehouse architectures, AI-enabled data products, and cloud-native platforms leveraging Databricks, AWS EMR, Spark, PySpark, and AI-native engineering tools such as GitHub Copilot and Claude Code.
• The role aligns with enterprise initiatives around AI-assisted engineering, intelligent automation, and AI-powered development workflows

The pay range for this role is$120k - $14Kper annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insuranceand paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

Thanks & Regards

Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator [e-mail] .”