The Data and AI Engineer will modernize legacy Apache Spark and Hadoop MapReduce workflows into optimized AWS and Databricks pipelines, build and deploy AI agents and LLM-based workflows, and support AI data pipelines, BI dashboards, and cloud optimization. The role requires 5-8 years of experience, strong Python or Scala and SQL skills, distributed computing knowledge, and familiarity with AWS and Databricks.
Every query opens live roles, salary samples, and market demand — tap a search to run it instantly.
Unlock powerful job search, personalized recommendations, and deep career insights from comprehensive, market-leading data and live market signals.
For job seekers
Upload your résumé, start a Job Search Thread, and let Metaintro rank real openings against your experience — then guide you from search to offer.
Match
Compare live roles against your current evidence.
Position
Turn proof projects into role-specific applications.
Improve
Use market feedback to keep the skill plan current.
data and AINew York, NY, US60000
EXL helps organizations transform workflows and drive business outcomes, providing trusted data foundations, enterprise AI, agentic deployment and AI-powered operations. Its offerings include AI-ready data foundations, AI services from strategy to deployment and adoption, AI-led operations, and industry-specific AI-powered solutions.
Customers and case studies
See customers and case studies