Senior Software Engineer; Streaming Data Pipeline

Engineering

Remote

full‑time

Covalent powers access to the richest multichain data infrastructure in Web
3. We’re trusted by thousands of developers, enterprises, and institutions to bring structure and meaning to blockchain data across 100+ chains with Gold Rush - our suite of developer products. Our newest offering delivers real‑time blockchain event data to power next‑generation applications. It empowers developers to build products and interfaces that can scale with faster, sub‑second blockchains. We’re building the infrastructure to make that possible.

About the Role Covalent is looking to welcome a Senior Data Pipeline Engineer to support our streaming data pipeline, processing high‑volume event streams across many blockchains. You’ll bring your 5 + years of backend/stream‑processing experience alongside proven experience with Kafka, and/or Apache Flink. Added bonus if you are bringing experience with data analytics and Clickhouse.

What You Will Do:

Design and own a high‑throughput ingestion pipeline for on‑chain events with strong delivery guarantees. Build stateful streaming jobs and operate distributed messaging at scale (partitioning, replication, retention). Transform raw node output into a canonical on‑chain data model for APIs and analytics; integrate external data where needed. Embed robust observability and automated recovery so systems self‑heal under load. Deploy containerized microservices via modern CI/CD and infrastructure automation in managed cloud environments.

Contribute through design/code reviews; rigorously test and ship secure, scalable software aligned with best practices.

Bachelor’s degree in CS or related field (or equivalent experience) 5+ years in backend/data‑infra engineering, including multi‑year experience running real‑time streaming systems Deep experience with distributed streaming and pub‑sub platforms; strong grasp of watermarking, checkpointing, back‑pressure, and event‑vs processing‑time. Proficiency in a statically typed systems language plus strong SQL and API design skills; proven pipeline design and CDC/data‑sink experience. Strength in observability, SLOs, and performance tuning (latency, scalability, availability, efficiency, capacity);

ability to optimize reliability and cost iliarity with blockchain data life cycles, token standards, event ingestion/traces, common data schemas, market‑data pipelines, and modern analytical databases.