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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level generalist Data Engineer in metro with broad tooling and common title increases candidate competition.
Core data engineering skills are transferable, but platform-specific requirements (Meridian, Snowflake) increase sensitivity.
Explicit 5-7 years plus required cloud, ETL, and platform skills makes shortlisting highly selective.
Job Description
Structured overview of role & requirementsAbout This Role
Design and maintain scalable, high-performance data pipelines and integration solutions supporting enterprise analytics and AI/ML initiatives.
Develop and support modern cloud-based data platforms and automate data workflows ensuring reliable, timely data delivery.
Provide technical leadership through mentorship, architecture participation, and promoting best practices, while supporting Meridian platform initiatives.
Minimum Requirements
5+ years of experience in Data Engineering or related fields.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Strong expertise in SQL, Python/Scala/Java, ETL/ELT frameworks, data warehousing, and cloud platforms (Azure, AWS, GCP).
Experience with Meridian platform implementation/support, modern data platforms (Databricks, Snowflake, Azure Synapse, Microsoft Fabric), and streaming technologies (Kafka, Spark Streaming, Event Hubs).
Ideal Candidate Profile
Experienced in designing and optimizing large-scale, enterprise data pipelines with a focus on automation and operational efficiency.
Strong capability to collaborate cross-functionally with architects, analysts, and business stakeholders translating requirements into technical solutions.
Demonstrated technical leadership in data engineering projects including mentoring engineers and improving platform stability through best practices and documentation.