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Data Infrastructure Jobs (NOW HIRING)

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 ...

Pivot Robots, Inc.

$150 - $200/hr

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 ...

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

The Team The Data Infrastructure Team at Imprint builds the foundational data systems that power our products, decision-making, risk capabilities, and long-term company strategy. We are responsible ...

Samsung Electronics

Data Infrastructure Manager

Plano, TX · On-site

$100 - $125/hr

We are seeking a detail-oriented and technically skilled Sales Operations Manager to lead data infrastructure, analytics, and sales planning operations for the SEA B2B Display Division. This role ...

Sec

Data Infrastructure Manager

Plano, TX · On-site

We are seeking a detail-oriented and technically skilled Sales Operations Manager to lead data infrastructure, analytics, and sales planning operations for the SEA B2B Display Division. This role ...

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 ...

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 architecture that allows us to do high-quality and fast research. You'll be owning our entire data lifecycle ...

Droyd

Data Infrastructure Engineer

San Francisco, CA · On-site

$125 - $150/hr

Data infrastructure sits at the center of that loop: what gets captured, how it moves, and how fast it becomes training signal. This work runs on real machines, not benchmarks. About the role As a ...

NetApp, Inc.

$200 - $250/hr

Job Summary We are seeking an Intelligent Data Infrastructure Engineer to design, develop, and optimize the core software that powers next-generation data infrastructure for enterprise and AI ...

Lyric

Sr. Data Infrastructure Engineer

$125K - $187K/yr

The Senior Data Infrastructure Engineer designs, builds, and scales reliable data platforms that power online transaction processing, analytics, machine learning, and business intelligence. This role ...

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How much do data infrastructure jobs pay per year?

As of Sep 9, 2026, the average yearly pay for data infrastructure in the United States is $123,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a data infrastructure?

A Data Infrastructure job focuses on designing, building, and maintaining the systems that store, process, and manage data for an organization. This includes databases, data pipelines, cloud storage, and data processing frameworks to ensure efficient data flow and accessibility. Professionals in this role work with technologies like SQL, NoSQL, Hadoop, Spark, and cloud platforms to support data engineers, analysts, and scientists. The goal is to provide a scalable, reliable, and secure foundation for handling large volumes of data.

What are some typical challenges faced in a data infrastructure role and how are they addressed?

Professionals in Data Infrastructure often face challenges such as scaling systems to handle growing data volumes, ensuring data security, and maintaining high availability. Addressing these requires proactive system monitoring, automation, regular performance tuning, and implementing best practices for backup and disaster recovery. Collaboration with data engineering, analytics, and IT security teams is essential to resolve bottlenecks and optimize data flows. Staying current with emerging technologies also helps in innovating and improving existing infrastructure over time.

What are the key skills and qualifications needed to thrive in the data infrastructure position, and why are they important?

To thrive in Data Infrastructure, you need a solid understanding of data architecture, database management, and distributed systems, often supported by a degree in computer science or a related field. Proficiency with tools such as SQL, Hadoop, Spark, AWS, and certifications like Google Cloud Professional Data Engineer are highly valued. Strong problem-solving abilities, effective teamwork, and clear communication help professionals excel in this collaborative and fast-evolving area. These skills ensure robust, scalable data systems that support reliable analytics and decision-making across the organization.

What are data infrastructure roles?

Data infrastructure roles involve designing, building, and maintaining the systems and tools that store, process, and manage data within an organization. These roles often require knowledge of databases, cloud platforms, data pipelines, and scripting languages, and they support data accessibility and security for analytics and decision-making.
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Data Infrastructure jobs near you
Infographic showing various Data Infrastructure job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $123,312 per year, or $59.3 per hour.

Data Infrastructure Engineer

San Francisco, CA • On-site

Pivot Robots, Inc.
See more jobs at Pivot Robots, Inc.external

$150 - $200/hr

Other

Posted 7 days ago

Job description

Responsibilities

  • Design and own the schemas and data models behind our production systems

  • 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 infrastructure

  • Build ML infrastructure: training pipelines, dataset versioning, and model deployment

Requirements

  • 2+ years building data infrastructure on AWS (application-side, not platform operations)

  • Strong schema design and data modeling, including distributed systems tradeoffs

  • ML infrastructure experience

  • Ability to work across the stack, from analyzing data to designing the systems around it

  • Willingness to travel to customer sites

Preferred

  • Data infrastructure in a robotics, autonomy, or industrial IoT setting

  • Edge computing experience

  • Interest in manufacturing

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