Streaming data processing jobs

Sr. Manager, Data Engineering

Cineplex Entertainment · Posted Nov 11, 2026

Open

Toronto, Canada
On-site
Full-time · Manager
CA$130K–CA$155K per year
8+ years

Sr. Manager, Data Engineering

Cineplex Entertainment · Posted Nov 11, 2026

Open

Toronto, Canada
On-site
Full-time · Manager
CA$130K–CA$155K per year
8+ years

Data Engineer-2

Embitel Technologies India · Posted Nov 11, 2026

Open

Bangalore, India
3–9 years

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Expert Data Engineer responsible for designing and maintaining data pipelines and models for automated campaign management within the DLCM Control Center.

Responsibilities

Design, build, and maintain data pipelines supporting automated campaign management and monitoring.
Enable data load management and forecasting by processing and aggregating campaign‑related metrics.
Develop and maintain data models for campaign status, rollout progress, and batch‑level insights.
Ensure data quality, consistency, and reliability across integrated systems.
Collaborate with backend and frontend teams to expose analytics‑ready datasets and APIs.

Requirements

Nice to have: analytics monitoring use cases
Nice to have: campaign rollout data
Nice to have: event‑driven architectures
Nice to have: near‑real‑time data architectures

Skills

SQL cloud‑based data platforms batch data processing streaming data processing data validation

Software Engineer - Infrastructure

Celonis · Posted Nov 10, 2026

Open

Remote, United States
Remote
Full-time · Mid
$134K–$158K per year
2–4 years

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Design, develop and improve the infrastructure and data-platform capabilities that enable scalable, reliable services.

Compensation

$134,000—$158,000 USD

Responsibilities

Design and develop scalable extract, transform, load (ETL) and extract, load, transform (ELT) data integration processes.
Support agentic infrastructure by provisioning and scaling the compute, model serving, and secure execution environments that AI agents need to run reliably in production.
Improve and optimize an on-demand predictive modeling platform using Python.
Use Kubernetes and Docker to orchestrate scalable deployments and manage containers.
Use contemporary hyperscaler environments to solve cloud-native engineering problems.

Requirements

Bachelor's or master's degree in computer science or engineering
Nice to have: Amazon EKS
Nice to have: Azure AKS

Skills

Python AWS Azure OCI GCP

Sr. Manager, Data Engineering

Sr. Manager, Data Engineering

Compensation

Responsibilities

Requirements

Skills

Benefits

Data Engineer-2

Responsibilities

Requirements

Skills

Software Engineer - Infrastructure

Compensation

Responsibilities

Requirements

Skills

Benefits