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Jr. Feature Engineer at EXL Talent Acquisition Team
, , United States -
Full Time

Start Date

Immediate

Expiry Date

18 Sep, 26

Salary

107000.0

Posted On

20 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, SQL, ETL/ELT, Data Modeling, Data Warehousing, CI/CD, Git, Jenkins, Docker, Data Pipelines, Debugging, Problem-solving, Optimization

Industry

Business Consulting and Services

Description
Work Location: Pittsburgh Work Mode: Onsite Pay Range: $100K-$107K /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 US Careers and Benefits [https://www.exlservice.com/us-careers-and-benefits] US Careers and Benefits The business outcomes we deliver to clients are made real by people through what they do at EXL. To be at the top of the game every day at work, requires you to bring your best.   Job Summary We are looking for a highly skilled Data Engineer with strong expertise in Python and SQL, along with hands-on experience in DevOps and CI/CD practices. The role involves building scalable data pipelines, optimizing data systems, and enabling efficient data-driven solutions.  
Responsibilities
The role involves building scalable data pipelines and optimizing data systems. The goal is to enable efficient data-driven solutions for clients.