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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro-based, mid-level generalist data engineer with common tech stack attracts high applicant density.
Core data engineering skills are widely transferable across industries.
Requires Databricks, SQL, Python and 3+ years, making filters moderately strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable data pipelines using Fivetran, API ingestion, AWS S3, and Databricks to support critical organizational decisions.
Develop and optimize complex SQL queries and Python scripts to manage ETL/ELT workflows and ensure data quality and performance.
Collaborate with business stakeholders to create and maintain dashboards and reports, translating reporting needs into scalable data solutions.
Minimum Requirements
3+ years of experience in data engineering, analytics engineering, or a similar role.
Strong proficiency in SQL and Python for data transformation and pipeline development.
Experience with Databricks or equivalent distributed data processing platforms.
Familiarity with version control and collaborative development using GitHub.
Ideal Candidate Profile
Operates hands-on with a full data platform including cloud environments (AWS, S3), data ingestion tools, and BI/reporting tools.
Experienced in managing data pipelines end-to-end and capable of communicating technical concepts clearly to non-technical stakeholders.
Demonstrates curiosity and growth mindset in emerging tech such as AI, machine learning, and modern cloud data patterns.