Role Overview

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products. This role plays a key part in technical decision-making, reliability, and mentoring while partnering closely with analytics, product, and engineering teams.

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT data pipelines

• Develop and maintain data models in data warehouses and lakes

• Ensure data reliability, quality, and performance across systems

• Collaborate with analysts and stakeholders to deliver analytics-ready data

• Lead technical design reviews and contribute to architectural decisions

• Monitor and troubleshoot pipeline failures and performance issues

• Implement best practices for testing, version control, and documentation

• Mentor junior data engineers and review code

• Contribute to data platform roadmap and continuous improvement

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)

• 5+ years of experience in data engineering or related roles

• Advanced SQL and strong proficiency in Python (or similar language)

• Experience with data warehousing and data modeling techniques

• Proven experience building production-grade data pipelines

• Strong understanding of cloud-based data architectures

Preferred Experience

• Cloud platforms (AWS, Azure, or GCP)

• Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)

• Experience with streaming or near-real-time data systems

• Familiarity with data governance, observability, and security best practices