Jobs / EXL***

Sr. Feature Engineer

EXL*** · United States
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United States110,000-125,000 USD/yearlyOnsite
Remuneration
110,000-125,000 USD/yearly
Location
United States
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Job summary

Job Description: Work Location: Pittsburgh Work Mode : Onsite Pay Range :$110K-$125K /Yr Base + Annual Bonus The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale.

Benefits

Pay Range :$110K-$125K /Yr Base + Annual BonusPlease visit us at https://www.exlservice.com/us-careers-and-

Qualifications

  • the lower end applies to those with less experience or fewer preferred
  • For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
  • For more information on
  • We are looking for an experienced Lead Data Engineer to drive the design and delivery of scalable data platforms and pipelines.
  • into scalable solutions
  • Mentor and guide junior engineers; conduct code reviews and provide technical leadership
  • Lead troubleshooting, root cause analysis, and performance tuning across data platforms
  • Must-Have

Responsibilities

  • of the position.
  • The top of the range is reserved for candidates who notably exceed the
  • Lead the design and implementation of scalable ETL/ELT pipelines and data architecture
  • Define best practices and standards for data engineering, code quality, and performance optimization
  • Own end-to-end delivery of data pipelines, ensuring reliability, scalability, and maintainability
  • Build and optimize frameworks for data ingestion, transformation, and processing of large datasets
  • Drive implementation of CI/CD and DevOps practices across data engineering workflows
  • Oversee automation for data pipeline deployment, monitoring, and alerting
  • Collaborate with business and technology stakeholders to translate
  • Strong hands-on experience in Python and SQL with the ability to guide others
  • Deep understanding of data engineering concepts (ETL/ELT, data modeling, warehousing)
  • Proven experience designing and leading production-grade data pipelines and platforms

Skills

Leadership

Industry

Automotive