Job Description
Job DescriptionRole 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
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Design, build, and optimize scalable ETL/ELT data pipelines
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Develop and maintain data models in data warehouses and lakes
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Ensure data reliability, quality, and performance across systems
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Collaborate with analysts and stakeholders to deliver analytics-ready data
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Lead technical design reviews and contribute to architectural decisions
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Monitor and troubleshoot pipeline failures and performance issues
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Implement best practices for testing, version control, and documentation
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Mentor junior data engineers and review code
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Contribute to data platform roadmap and continuous improvement
Qualifications
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Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
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5+ years of experience in data engineering or related roles
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Advanced SQL and strong proficiency in Python (or similar language)
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Experience with data warehousing and data modeling techniques
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Proven experience building production-grade data pipelines
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Strong understanding of cloud-based data architectures
Preferred Experience
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Cloud platforms (AWS, Azure, or GCP)
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Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)
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Experience with streaming or near-real-time data systems
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Familiarity with data governance, observability, and security best practices