Senior Data Engineer

Role Overview

The Senior Data Engineer is a technical expert responsible for designing, implementing, and supporting scalable data solutions using modern big data technologies. In this full-time role, you will work closely with data architects, analysts, and business stakeholders to build, optimize, and maintain data pipelines and platforms that drive analytics, reporting, and machine learning.

What You Will Do

Design, develop, and maintain robust data pipelines for ingesting, transforming, and storing large volumes of structured, semi-structured, and unstructured data. Implement data workflows and ETL processes using technologies such as Spark, Delta Lake, and cloud-native tools.

Why It Might Be a Fit

You will ensure the reliability, performance, and security of production data systems, and play a key role in troubleshooting, monitoring, and continuous improvement.

Requirements

• Design, develop, and maintain robust data pipelines
• Implement data workflows and ETL processes
• Support production use of big data platforms
• Monitor, troubleshoot, and resolve issues in production data systems
• Collaborate with data architects to translate business requirements into technical solutions
• Optimize SQL queries, Spark jobs, and data processing workloads
• Implement and maintain data governance, security, and compliance measures
• Integrate data workflows into CI/CD pipelines
• Document data pipelines, workflows, and operational procedures

Benefits

• Equal opportunity employer
• Customer-first mindset
• Commitment to Going the Extra Mile
• Team values dedication, teamwork, and growth