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Market Data Infrastructure Engineer Jobs (NOW HIRING)

Alljoined

Data Infrastructure Engineer

San Francisco, CA · On-site

$140K - $180K/yr

About the Role As a Data Infrastructure Engineer , you will build the backend and hardware ... based on market data, final compensation will be determined based on your specific skills and ...

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar ...

Imprint

Data Infrastructure Engineer

New York, NY · On-site

$170K - $230K/yr

Our work sits at the intersection of distributed systems, data engineering, privacy, security, and product enablement. We build the infrastructure that allows Imprint to responsibly ingest, validate ...

Droyd

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

They are seeking a Staff Software Engineer on data infrastructure to own the pipelines that carry data from robot to model, architecting ingestion from edge devices and ensuring fleet data is ...

Headway

Staff Data Infrastructure Engineer

New York, NY · On-site

$212K - $265K/yr

The Data Platform team is a group of Data Engineers and Data Infrastructure Engineers who build and ... Compensation decisions are made holistically, ensuring fairness and alignment with market ...

Pivot Robots, Inc.

$79K - $104K/yr

Build and maintain data infrastructure on AWS * Build the artifact store for scans, meshes, model checkpoints, and calibration files * Build edge-to-cloud pipelines between robotic cells and our ...

Pivot Robotics

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Build and maintain data infrastructure on AWS * Build the artifact store for scans, meshes, model checkpoints, and calibration files * Build edge-to-cloud pipelines between robotic cells and our ...

JPMorgan Chase & Co.

$100K - $136K/yr

As a Senior Lead Infrastructure Engineer at JPMorganChase within the within the Commercial and ... Lead the design, architecture, and delivery of large-scale market data infrastructure across ...

New

Droyd

Data Infrastructure Engineer

San Francisco, CA · On-site

$134K - $162K/yr

About the role As a Staff Software Engineer on data infrastructure at Droyd, you'll own the pipelines that carry data from robot to model. You'll architect ingestion from edge devices, streaming ...

Pivot Robotics

Data Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

Build and maintain data infrastructure on AWS * Build the artifact store for scans, meshes, model checkpoints, and calibration files * Build edge-to-cloud pipelines between robotic cells and our ...

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Market Data Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do market data infrastructure engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for market data infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is a market data infrastructure engineer?

A Market Data Infrastructure Engineer is a technology professional who designs, builds, and maintains the systems that deliver real-time and historical financial market data to trading platforms and other applications. Their work ensures that traders, analysts, and automated systems receive accurate and timely data from exchanges and other sources. They focus on optimizing data feeds, managing latency, and ensuring the reliability and scalability of data delivery. This role often involves working with specialized hardware, low-latency networking, and various data protocols used in the financial industry.

What are the key skills and qualifications needed to thrive as a market data infrastructure engineer, and why are they important?

To thrive as a Market Data Infrastructure Engineer, you need expertise in networking, low-latency systems, and market data protocols, often supported by a degree in computer science or a related field. Familiarity with market data platforms like Bloomberg, Reuters, and technologies such as multicast, FIX, and scripting languages is typically required. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These skills ensure reliable, high-performance delivery of financial data, which is critical for trading operations and decision-making in financial institutions.

What are some typical challenges faced by market data infrastructure engineers when supporting real-time trading environments?

Market Data Infrastructure Engineers often encounter challenges such as ensuring low-latency data delivery, maintaining high system reliability, and troubleshooting complex connectivity issues in real-time trading environments. They must continuously monitor and optimize data feeds to prevent bottlenecks and downtime, which can have significant financial consequences. Additionally, collaborating closely with network engineers, traders, and software developers is essential to quickly resolve problems and implement enhancements that meet evolving business needs.

What are popular job titles related to Market Data Infrastructure Engineer jobs?

For Market Data Infrastructure Engineer jobs, the most frequently searched job titles are:

Infographic showing various Market Data Infrastructure Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $127,066 per year, or $61.1 per hour.

Data Infrastructure Engineer

San Francisco, CA • On-site

Alljoined
See more jobs at Alljoinedexternal

$140K - $180K/yr

Full-time

Medical, Retirement

Re-posted 19 hours ago

Job description

About Alljoined
Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives.
We are actively growing our founding engineering team to build the underlying infrastructure that makes this ambitious future a reality.
About the Role
As a Data Infrastructure Engineer, you will build the backend and hardware architecture that allows us to do high-quality and fast research. You'll be owning our entire data lifecycle, from building pipelines that process massive multimodal datasets (video, audio, text, time-series) to provisioning and managing both cloud and bare metal compute clusters we use to train on it. You will be powering our foundational model training by bridging the gap between physical neuro hardware and our central repositories, working alongside world-class researchers to ensure they have a high-throughput, low-latency pipeline straight to the GPUs.
You might be a good fit if you
  • Have 3+ years of production software engineering experience with deep expertise in systems-level architecture and languages like Python, Rust, C++, or Go.
  • Have built and maintained high-performance ETL pipelines capable of processing, buffering, and storing terabytes of daily unstructured data.
  • Are comfortable architecting, provisioning, and maintaining bare-metal local compute clusters, storage servers, and high-speed networking for intensive ML workloads.
  • Have a background in handling continuous, highly concurrent data streams from heterogeneous hardware peripherals without data loss.
  • Are capable of working across hybrid environments to define storage topologies, manage databases (TimescaleDB, ClickHouse), and sync massive datasets between on-premise edge servers and the cloud (AWS/GCP/Azure).
  • Enjoy owning the entire technical lifecycle of infrastructure, from optimizing low-level I/O bound operations to production deployment.

Strong candidates may have
  • A deep understanding of modern ML frameworks (PyTorch/TensorFlow) and know how to build datasets that maximize and saturate GPU utilization.
  • Experience managing networking for distributed GPU training (InfiniBand, RoCE) or optimizing zero-copy networking and shared memory.
  • Built infrastructure involving programmatic video processing (FFmpeg, GStreamer, OpenCV)

Compensation Range
$140,000 - $180,000/year
While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range.
Benefits
  • Competitive equity compensation at a seed stage startup
  • Options for housing support
  • Visa sponsorship
  • 3% 401k matching
  • Health insurance

Apply