Data Platform Engineer (Distributed Systems & Graph Analytics)

Data Engineer
Remote
June 16, 2026
Full Time
Application ends: September 15, 2026
Apply Now

Job Description

We’re looking for a Data Platform Engineer to take end-to-end ownership of large-scale data pipelines and distributed systems powering a next-generation Analytics platform.

You will design, build, and operate production-grade data pipelines, working across Spark, cloud infrastructure, APIs, and graph systems to ensure high-throughput, low-latency, and reliable data processing at scale.

What You’ll Own

Data Pipeline & Platform Engineering

  • Design and build end-to-end data pipelines (batch + streaming)
  • Own large-scale Apache Spark workloads and distributed data processing
  • Implement data ingestion → transformation → serving layers
  • Manage schema evolution, data contracts, and pipeline reliability

Distributed Systems & Scale

  • Work on systems handling high-volume graph datasets (entities + relationships)
  • Optimize for latency, throughput, and fault tolerance
  • Design scalable architectures using Kafka / Spark / Flink / Beam

Cloud & Infrastructure

  • Deploy and operate systems on GCP / AWS (GKE, Dataproc, Cloud Run, etc.)
  • Build and maintain CI/CD pipelines for data and microservices
  • Use Docker, Kubernetes, Terraform for infrastructure automation

Data Reliability & Observability

  • Implement data quality checks, monitoring, and alerting
  • Ensure data integrity across pipelines and services
  • Build systems to detect drift, inconsistencies, and failures in production

APIs & System Integration

  • Work with GraphQL / REST / gRPC APIs for data access layers
  • Ensure seamless integration between data systems and application layers

What We’re Looking For

  • You have atleast 4 years in Data Engineering / Platform Engineering / Distributed Systems
  • Strong hands-on experience with: Apache Spark / Distributed data processing, Cloud platforms (GCP or AWS), Streaming systems (Kafka / Flink / Beam)
  • Solid programming skills in Python / Java / Scala / Node.js
  • Experience building and owning production data pipelines end-to-end
  • Understanding of: Microservices architecture, Data modeling & large-scale system design
  • Ability to debug and optimize systems in real production environments

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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