Senior Analytics / Data Science Engineer
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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, generalist data role with popular skills and moderate brand attracts medium competition.
Data engineering skills are transferable but Snowflake and analytics depth increase domain specificity.
Explicit 5–8 years plus deep Snowflake, SQL and Python requirements increase selection strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Build and own data infrastructure supporting analytics and machine learning workflows, ensuring accuracy and performance.
Collaborate closely with data science, engineering, and business teams to deliver production-grade data solutions.
Drive data accuracy and quality frameworks to support actionable business decisions.
Minimum Requirements
5+ years of experience in analytics engineering, data engineering, or equivalent technical roles.
Strong hands-on SQL skills with deep Snowflake experience, including performance tuning and warehouse management.
Proficiency in Python for data tasks (pandas, NumPy, scripting, testing).
Solid foundation in statistics (distributions, sampling, hypothesis testing, regression, confidence intervals).
Ideal Candidate Profile
Experienced at owning end-to-end data infrastructure outcomes rather than task execution alone.
Comfortable navigating the interface between data engineering and data science workflows, supporting model pipelines.
Proactive communicator with a quality-first mindset who investigates data issues and improves processes.