Senior Data Engineer

About the role

The Senior Data Engineer will design, build, and maintain the data infrastructure that powers analytics for enterprise clients, primarily using Microsoft Fabric. Working in a client‑facing consulting environment, the role delivers scalable ETL/ELT pipelines, robust data models, and comprehensive documentation while collaborating with analytics, engineering, and stakeholder teams.

About the company

EVOCS is a consulting‑focused firm that helps businesses grow by providing advisory expertise and technology‑driven solutions. Founded by passionate experts, the employee‑managed company positions itself as a trusted partner for leaders across industries, emphasizing quality, consistency, client success, and a hyper‑fast‑growing, agile culture.

Requirements

• 8+ years professional experience in data engineering, backend platform engineering, or large‑scale data infrastructure.
• 3+ years experience in client‑facing or consulting‑focused data engineering roles.
• Advanced SQL expertise including schema design, query optimization, complex views, CTEs, window functions, deduplication, and data modeling.
• Strong Python skills for ETL development, automation, PySpark, and data processing workflows.
• Hands‑on experience building and maintaining enterprise‑scale ETL/ELT pipelines in production.
• Experience integrating data from REST APIs, GraphQL endpoints, and webhook‑based systems.
• Deep understanding of data quality practices, validation, anomaly detection, and data governance.
• Ability to work across multiple concurrent client engagements with varying data maturity.
• Excellent documentation and communication skills for data dictionaries, lineage, and technical handoffs.
• Strong ownership mindset and ability to operate independently in fast‑paced environments.