Senior Data Engineer

Key Responsibilities

Technical data operations and execution. Implement engineering best practices across data pipelines, modeling, data quality, lineage, metadata management, documentation and operational monitoring. Oversee sprint planning, backlog prioritization, and execution across multiple data initiatives.

Enterprise Data Layer operation. Design, architect, develop, and maintain robust and scalable data pipelines, transformations, models, and workflows. Develop and operate automated data jobs for data science, analytics, and reporting purposes.

Data QA operations. Implement automated QA analytics, reconciliations, and monitoring to ensure data integrity across enterprise platforms and enterprise data layer. Establish data quality frameworks including validation, monitoring, reconciliation, and alerting, ensuring strong governance around data accuracy, completeness, and timeliness across critical datasets.

Cross-functional data engineering support. Support Analytics, Operations, and Business teams in data initiatives, deeply understanding functional requirements and delivering data solutions that meet these needs in a timely and reliable fashion.

Qualifications

6+ years of experience in data engineering, data platform development, or analytics engineering.

Background in Financial Services, consulting, or high-growth technology environments preferred.

Distinguished academic track record in data, computer science, or related discipline.

Proven experience building enterprise data platforms supporting reporting and analytics.

Hands-on experience with data modeling, ETL/ELT pipelines, analytics engineering, and data

Pay range and compensation package

This role will receive competitive salary, benefits, and variable compensation. Compensation is determined by various factors, including experience, location, and performance. In addition, the position includes access to medical, dental, vision, and other benefits, including flexible paid time off.

Equal Opportunity Statement

We are an equal opportunity employer and make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.