> tinycto://roles/cm-role-streaming-and-real-time-data-engineer
Streaming & Real-Time Data Engineer
Specialized Data & Analytics Engineering professional focused on low-latency stream processing pipelines using apache flink and kafka streams and enterprise-grade execution.
Core Responsibilities
- Execute and maintain production-grade solutions for Streaming & Real-Time Data Engineer
- Collaborate with cross-functional engineering teams and uphold quality standards
Skills Weighting (Durable vs Perishable)
Adjacent Career Transitions
Data Reliability Engineer
Domain specialization bridge from Streaming & Real-Time Data Engineer to Data Reliability Engineer
Data Governance Specialist
Deep technical transition from Streaming & Real-Time Data Engineer into Data Governance Specialist
Engineering Manager
Transition from technical individual contribution in Streaming & Real-Time Data Engineer to engineering management
Software Architect
Cross-system architectural boundaries beyond local Streaming & Real-Time Data Engineer scope
Machine Learning Engineer
Deep learning frameworks (PyTorch), loss function optimization, and model evaluation
Frequently Asked Questions
What are the core technical competencies required for a Streaming & Real-Time Data Engineer?
A Streaming & Real-Time Data Engineer focuses on Low-latency stream processing pipelines using Apache Flink and Kafka Streams; Out-of-order event handling, watermarking, and sliding window aggregations. Core responsibilities include: Execute and maintain production-grade solutions for Streaming & Real-Time Data Engineer, Collaborate with cross-functional engineering teams and uphold quality standards.
What distinguishes a Streaming & Real-Time Data Engineer from adjacent engineering roles?
Unlike adjacent roles, a Streaming & Real-Time Data Engineer is specifically NOT expected to handle: Unfocused generalist work without clear domain deliverables; Pure administrative coordination without technical ownership. Seniority tracks encompass entry, mid, senior levels.
What decision authority and hands-on technical ownership does a Streaming & Real-Time Data Engineer hold?
A Streaming & Real-Time Data Engineer holds primary decision authority over Stream state backend configurations, checkpoint intervals, backpressure tolerance thresholds.. This role typically maintains an estimated 80% hands-on technical focus with low customer exposure and moderate ambiguity tolerance.
What are the typical promotion ladders and career mobility pathways from Streaming & Real-Time Data Engineer?
Progression within Streaming & Real-Time Data Engineer spans entry → mid → senior seniority tiers. Common adjacent lateral and vertical mobility targets include: Data Engineer, Ai Engineer, Analytics Engineer.
How are compensation benchmarks evaluated for a Streaming & Real-Time Data Engineer?
Salaries for Streaming & Real-Time Data Engineer are aggregated from verified statutory and market reports across 6 tech hubs, normalized with k ≥ 5 cohort suppression to preserve privacy, and evaluated across P10 to P90 percentiles.
Which international visa pathways apply to a Streaming & Real-Time Data Engineer?
Qualifying roles in this family align with statutory shortage criteria under frameworks such as the Germany EU Blue Card (§ 18g AufenthG) and Netherlands Highly Skilled Migrant regulations (Kennismigrant), using official O*NET-SOC (15-2051.00) and ESCO/ISCO-08 classifications.
AI Summary
Streaming & Real-Time Data Engineer: Core role responsible for low-latency stream processing pipelines using apache flink and kafka streams, decision authority over stream state backend configurations, checkpoint intervals, backpressure tolerance thresholds., and cross-team execution.