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Protocol Intelligence
Data-driven signals on your job's competitivenessRecognizable brand, mid-level data-engineer role, common skillset, and 3-5 year experience boost applicant density.
Core data engineering skills like SQL, pipelines, and warehousing transfer easily across industries.
Explicit 3-5 year requirement plus mandatory SQL, pipeline, and Python skills tighten filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain reliable batch and/or streaming data pipelines for moving data into a warehouse without failures
Develop and optimize data warehouse structures (fact/dimension modeling, partitioning, indexing) to support scalable analytics and reporting
Write and tune complex SQL queries over large datasets, balancing performance and cost, while monitoring pipeline health and documenting data models and lineage
Minimum Requirements
3-5 years of experience in data engineering or a related backend/data role
Solid experience with relational databases and dimensional data-warehousing concepts
Proven experience building and operating data pipelines (batch or streaming), not just one-off scripts
Strong SQL skills and working proficiency in Python or another data engineering language
Ideal Candidate Profile
Experienced in scalable data pipeline development with a focus on production reliability and automated quality checks
Comfortable partnering with analytics, product, and engineering teams to deliver well-modeled, reusable datasets
Familiarity with AI-assisted development tools and cloud data warehouse technologies is a strategic advantage