Senior Data Engineer

Senior Data Engineers lead the development and optimization of complex data systems and pipelines. Responsibilities include managing data projects, ensuring data quality, and mentoring junior engineers. You will work with stakeholders to align data solutions with business goals and drive improvements. Extensive experience in data engineering and leadership skills are required.

Base Compensation Range: 100,000 - 150,000

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

Qualifications

• Hands-on experience in data management, data processing, or data analytics.
• Strong ability to identify, investigate, and resolve data-quality issues.
• Experience working with multiple data sources and maintaining repeatable data workflows.
• Strong communication, documentation, and stakeholder collaboration skills.
• Ability to work independently within a short-term assignment.
• Hands-on Alteryx experience, including developing, maintaining, and troubleshooting workflows.
• Employee Benefits domain experience, particularly life insurance, disability, or leave.
• Power BI experience, including data preparation, modeling, and dashboard development.
• Familiarity with Databricks or Microsoft Fabric.
• Experience supporting data-platform migrations or modernization initiatives.

Responsibilities

• Lead design and optimization of complex data solutions, Oversee data engineering projects, Mentor junior engineers, Ensure solutions align with organizational goals, Provide strategic guidance.
• Manage data preparation, cleansing, transformation, validation, and reconciliation.
• Maintain and troubleshoot data workflows to support reliable business operations and reporting.
• Investigate data-quality issues and coordinate resolution with business and technical teams.
• Document data sources, transformation rules, mappings, and processing procedures.
• Work with stakeholders to understand data requirements and deliver accurate, timely outputs.
• Support knowledge transfer and preparation for the planned transition to Databricks or Microsoft Fabric.
• Support Power BI reporting and dashboards where applicable.