Technology Engineering Lead

EXL; Pittsburgh (Allegheny County); On-site; USD 120,000 - 140,000; Full time

Job summary

EXL is seeking an experienced Technology Lead to own the design and delivery of an enterprise batch feature store. The ideal candidate will be a hands-on data engineering leader who can make sound architecture decisions, guide developers, and drive complex data pipelines to production.

The role requires onsite work in Pittsburgh, with potential consideration for nearby locations, and offers a competitive compensation package including base salary plus annual bonus.

Qualifications

• Experience leading data engineering teams and architectures.
• Strong background in designing and delivering data pipelines.

Responsibilities

• Own the design and delivery of an enterprise batch feature store.

Job description

Work Location: Pittsburgh, NJ or NY.

Work Mode : Onsite

Pay Range :$120K-$140K /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. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. 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 benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

Job Overview

We are seeking an experienced Technology Lead to own the design and delivery of an enterprise batch feature store. The ideal candidate is a hands-on data engineering leader who can make sound architecture decisions, guide developers, and take complex data pipelines through to production.