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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level generalist data engineer in metro with a known brand and common skillset.
Core data engineering skills (Python, SQL, AWS, Airflow) are highly transferable across industries.
Explicit 2-5 years requirement plus mandatory Python, SQL, AWS, Airflow, and SDLC tooling.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable data pipelines supporting both batch and real-time analytics, integrating with downstream production systems.
Implement and monitor data governance and quality processes to ensure data integrity throughout its lifecycle.
Participate in code reviews and testing to ensure reliability, performance optimization, and adherence to product SLAs.
Minimum Requirements
Bachelor’s Degree in Computer Science, Data Engineering, Data Science, or related field.
2-5 years of experience coding in Python and SQL in production and non-production environments.
Experience with cloud-based infrastructures and tools such as AWS, EC2, GitLab, and Airflow.
Knowledge and application of Software Development Life Cycle best practices and building monitoring tools for infrastructure.
Ideal Candidate Profile
Experienced in building and optimizing data pipelines within cloud environments, with operational ownership of data quality and system monitoring.
Comfortable collaborating cross-functionally and integrating new functionalities into existing data workflows with attention to impact assessment.
Skilled at using performance optimization techniques and tooling to meet product SLAs with emphasis on robust, reliable production deployment.