Lead Assistant Manager

EXL; Hartford (CT); Hybrid; USD 85,000 - 105,000; Full time

Benefits offered by this job

Bonus

Benefits package

Job summary

EXL in Hartford, CT is seeking a Data Engineer with 3+ years of experience to design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data platforms. The role requires collaboration with data analysts, data scientists, and business stakeholders to ensure reliable data for reporting and analytics.

The position offers a hybrid work setup in Hartford and involves partnering with cross-functional teams to deliver data-driven insights and support AI/ML initiatives.

Qualifications

• 3+ years of experience building and maintaining scalable data pipelines.
• Experience with ETL/ELT processes and cloud-based data platforms.
• Ability to collaborate with analysts, data scientists, and business stakeholders.

Responsibilities

• Design and maintain scalable data pipelines for reporting and analytics.
• Collaborate with data analysts and scientists to deliver high-quality, accessible data for AI/ML use cases.
• Partner with stakeholders to understand data needs and ensure data quality and reliability.

Skills

Data pipeline design

ETL/ELT processing

Cloud platforms

Job description

Data Engineer (3+ Years Experience)

Hybrid; Hartford, CT

$85,000- $105,000 plus bonus plus benefits

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

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.

We are seeking a Data Engineer with 3+ years of experience in building and maintaining scalable data pipelines, ETL/ELT processes, and cloud-based data platforms. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to deliver high-quality, reliable, and accessible data for reporting, analytics, and AI/ML use cases.