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Remote Data Streaming Jobs in Long Beach, CA (NOW HIRING)

Head of Software

Torrance, CA · On-site +1

$141K - $189K/yr

Data streaming and pipelines (Kafka, Beam, Ray, Spark) * Microservice design, API gateways, and ... Experience integrating multi-modal data (satellite, sensor, remote sensing, IoT) * Knowledge of ...

Head of Data Engineering

Los Angeles, CA · Remote

$117K - $140K/yr

Provide the infrastructure, streaming/batch frameworks, and APIs so product teams can own their ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... streaming, and API-based sourcing. * Partner with governance, security, and compliance to ...

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... across linear and streaming for an increasingly programmatic world. By combining immediate ... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ...

... data streams, and enterprise systems. Key Responsibilities * Design and implement agent-based AI ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

... data streams, and enterprise systems. Key Responsibilities * Design and implement agent-based AI ... While many positions offer remote or hybrid work options, these arrangements are subject to change ...

Sr. Backend Engineer - Xumo

Irvine, CA · Remote

$141K - $189K/yr

... and data layers across a wide range of software products and platforms. Within a squad of ... day remote. Java Application Development for Video Streaming Backend Systems * Develop backend ...

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Remote Data Streaming information

See Long Beach, CA salary details

$48.4K

$173.5K

$256K

How much do remote data streaming jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote data streaming in Long Beach, CA is $173,512.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $178,800.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Data Streaming jobs in Long Beach, CA?

The most popular types of Data Streaming jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Remote Data Streaming jobs?

Cities near Long Beach, CA with the most Remote Data Streaming job openings:

Head of Software

Mantari

Torrance, CA • On-site, Remote

$141K - $189K/yr

Full-time

Re-posted 12 days ago


Job description

Description

The Head of Software will own the architecture and implementation of Mantari's full-stack weather intelligence platform - the software backbone that powers sensing, data assimilation, forecasting, analytics, and decision delivery.

You'll design and lead the buildout of the core platform that ingests global sensor data, runs large-scale model training and inference, manages distributed compute pipelines, and serves forecast and analytic products to customers via APIs and integrated applications. This is a systems leadership role: you'll define the architecture, hire and mentor the engineering team, and ensure the platform meets Mantari's demanding standards for scale, resilience, latency, and security.

You'll partner closely with the Head of Weather (who owns forecasting science), and Growth team and Forward Deployed Engineers(who integrate customer systems). Your job: turn the full-stack vision into code and build the infrastructure of foresight.

Key Responsibilities
  • Architect Mantari's end-to-end platform, spanning:
    • Sensor platform autonomy and edge compute
    • Sensor data ingestion and transformation
    • Data assimilation and model runtime orchestration
    • Scalable model training and distributed inference
    • API services and analytics layers
    • Secure multi-tenant customer delivery
  • Lead software design for modular, cloud-native, and high-availability systems (microservices, container orchestration, data streaming)
  • Define the platform runtime -- how models (physics-based, hybrid, AI) are deployed, scheduled, and versioned.  Verification/validation for customers is critical!
  • Build developer velocity with best-in-class CI/CD, observability, and deployment pipelines
  • Own cloud infrastructure (GCP/AWS/Azure), including cost optimization, GPU fleet management, and multi-region scaling
  • Establish data platform foundations (storage, ETL, metadata, lineage, reanalysis)
  • Collaborate with ML and atmospheric science teams to align software design with model and data needs
  • Set technical standards across codebase, security, APIs, and reliability
  • Recruit, mentor, and scale Mantari's software engineering team
Requirements
  • BS/MS/PhD in Computer Science, Software Engineering, or related technical field
  • 8+ years in software architecture and systems engineering
  • Proven experience designing and operating large-scale, cloud-native platforms (multi-service, distributed, high-throughput)
  • Deep expertise in:
    • Cloud infrastructure (GCP, AWS, or Azure)
    • Container orchestration (Kubernetes, Nomad, Slurm)
    • Data streaming and pipelines (Kafka, Beam, Ray, Spark)
    • Microservice design, API gateways, and backend architecture
  • Strong foundation in DevOps: CI/CD, infrastructure as code, monitoring, and observability
  • Experience supporting ML/AI pipelines (training, inference, versioning) at scale
  • Track record of leading teams delivering production-critical platforms
Bonus Qualifications
  • Background building real-time analytics, or computing systems/earth observation systems
  • Familiarity with GPU-accelerated workloads, distributed training, or model serving at scale
  • Experience integrating multi-modal data (satellite, sensor, remote sensing, IoT)
  • Knowledge of forecasting systems, data assimilation, or simulation pipelines
  • Prior experience in high-stakes environments (aerospace, defense, energy, or autonomy)
  • Comfort working across disciplines - science, ML, software, product
  • Strong communication skills and leadership presence
How We Work
  • Small, senior team; high autonomy, high expectations.
  • Collaborate closely with the founding team and SMEs to push the boundaries of observation-driven AI-native weather forecasting, and turn weather into an advantage, not a roadblock.
  • LA HQ required.
  • Equity upside commensurate with being one of the first core team members. Competitive salary, full benefits, and hardware budget.