Data Engineering
Hire senior Apache Kafka engineers
Kafka is simple to start and brutal to run well. Our seniors have owned clusters in production: partitioning strategy, consumer lag firefighting, schema governance, and the capacity math that keeps events flowing at peak.
Shortlist of around 3 senior profiles in under 5 business days
- Seniority floor
- 7+ years owning production systems
- Time zone
- Full overlap with US Eastern to Pacific
- Shortlist
- Around 3 curated profiles in under 5 business days
- Engagement model
- Embedded in your team, no resellers or middlemen
- Pricing
- All-inclusive rate, around 35% below the US onshore equivalent
How we vet
What senior Apache Kafka actually looks like
Topic and partition design from throughput math, not defaults
Exactly-once semantics, idempotent producers, and consumer rebalancing behavior
Schema Registry discipline: compatibility rules and safe schema evolution
Ecosystem: Kafka Connect, Kafka Streams or Flink for stream processing, plus Confluent Cloud vs MSK trade-offs
The roles that master Apache Kafka
Apache Kafka questions, answered
What does senior Kafka experience look like?
Someone who has debugged consumer lag at 2am, designed partition keys that survive growth, and enforced schema compatibility so producers never silently break consumers.
Managed or self-hosted Kafka: what do your engineers prefer?
Most US clients run Confluent Cloud or AWS MSK. Seniors recommend managed unless there is a hard reason to self-host, and they can run either.
Can they build CDC pipelines with Kafka?
Yes. Debezium-based change data capture into Kafka and onward to the warehouse is a standard senior engagement.
Usually paired with Apache Kafka
Keep reading about hiring for Apache Kafka
Need senior Apache Kafka on your team?
Tell us the context. A curated shortlist of senior profiles in under five business days, working in your time zone.