Data Engineer

We are looking for an enthusiastic and motivated Data Engineer to support end-to-end data engineering activities and contribute to building scalable, cloud-based data solutions. The ideal candidate is eager to learn, has strong problem-solving skills, and can collaborate effectively with team members in a fast-paced environment.

Base Compensation Range: 52,600 – 86,500

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

Key Responsibilities

Data Engineering Support

• Assist in building and maintaining data pipelines, ETL/ELT processes, and cloud-based data workflows.
• Work closely with senior engineers to understand solution design, data architectures, and coding best practices.
• Participate in development, testing, and deployment activities under guidance.

Collaboration & Communication

• Work with cross-functional teams to gather requirements and understand business needs.
• Communicate progress, challenges, and technical concepts clearly to team members.
• Support documentation of data processes, workflows, and technical specifications.

Learning & Continuous Improvement

• Continuously enhance technical skills in cloud technologies, SQL, and programming.
• Adopt best practices in coding, testing, and version control.
• Contribute ideas for improving processes and overall solution quality.

Must-Have Skills

• Strong understanding of data engineering fundamentals, SQL, and data processing concepts.
• Basic knowledge of cloud services (AWS/Azure/GCP) and data tools.
• Familiarity with Python or PySpark for data manipulation.
• Solid problem-solving and analytical abilities.
• Eagerness to learn new technologies and work in an Agile environment.

Good communication and teamwork skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.