Technology Engineering Lead

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

Job summary

Ex in Pittsburgh, NJ or NY is 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 and guide developers to production.

You will work onsite, collaborate with cross-functional teams, and contribute to scalable data pipelines within a national hiring scale.

Qualifications

• Experience leading data engineering teams.
• Hands-on data engineering leadership.
• Strong architectural design skills.

Responsibilities

• Own the design and delivery of an enterprise batch feature store.
• Guide developers and ensure data pipelines reach production.
• Make sound architectural decisions for scalable data infrastructure.

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.