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Data Infrastructure And Analytics Jobs (NOW HIRING)

Software Engineer, Data Infrastructure

San Francisco, CA · On-site +1

$134K - $162K/yr

The Data Platform team at Figma builds and operates the foundational systems that power analytics ... In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered ...

Description We are seeking a Data Infrastructure Engineer to build and operate the data platform that powers AI/ML analytics modules. You will design and implement scalable data ingestion pipelines ...

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Staff Software Engineer, Data Infrastructure

Seattle, WA · On-site

$130K - $156K/yr

Responsibilities : • Design, build, and operate reliable and scalable data infrastructure powering Slack's analytics, ML, and data-driven decision-making. • Serve as DRI for multiple core data ...

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Data Infrastructure And Analytics information

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$153K

$178.7K

$202K

How much do data infrastructure and analytics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data infrastructure and analytics in the United States is $178,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,500.00 and $191,500.00 per year, depending on experience, location, and employer.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting data, understanding context, and communicating findings remains essential in data infrastructure and analytics roles.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director, Chief Data Officer, or Analytics Vice President tend to have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, data strategy, and leadership, along with extensive experience and often relevant certifications.

What is the difference between Data Infrastructure And Analytics vs Data Engineer?

AspectData Infrastructure And AnalyticsData Engineer
Primary FocusBuilding data systems, managing data infrastructure, and enabling analyticsDesigning, constructing, and maintaining data pipelines and storage solutions
Skills & CertificationsData management, SQL, cloud platforms, analytics toolsProgramming (Python, Java), ETL, database systems, cloud services
Work EnvironmentCollaborates with data analysts, scientists, and business teamsWorks closely with data architects and software engineers
Industry UsageUsed across industries for data-driven decision makingPrimarily in tech, finance, and large enterprises with complex data needs

While both roles involve working with data systems, Data Infrastructure And Analytics focuses on creating and managing the infrastructure that enables data analysis, whereas Data Engineers primarily build and maintain the data pipelines and storage solutions that support these analytics. Understanding these distinctions helps organizations assign the right skills to each role.

What is data infrastructure and analytics?

Data infrastructure and analytics involve building and managing the systems, tools, and processes that collect, store, and analyze data to support business decision-making. Data infrastructure includes databases, data warehouses, and cloud platforms, while analytics involves using statistical and computational methods to extract insights from data. Professionals in this field often work with tools like SQL, Python, and data visualization software to enable data-driven strategies.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with experience and specialization in analytics or business intelligence. Overall, it is considered a well-paying role within the data and technology fields.
More about Data Infrastructure And Analytics jobs
What cities are hiring for Data Infrastructure And Analytics jobs? Cities with the most Data Infrastructure And Analytics job openings:
What states have the most Data Infrastructure And Analytics jobs? States with the most job openings for Data Infrastructure And Analytics jobs include:
Infographic showing various Data Infrastructure And Analytics job openings in the United States as of June 2026, with employment types broken down into 4% Internship, 24% As Needed, 56% Full Time, 12% Temporary, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $178,749 per year, or $85.9 per hour.
Software Engineer, Data Infrastructure

Software Engineer, Data Infrastructure

OpenAI

San Francisco, CA • On-site

$185K - $385K/yr

Full-time

Posted 25 days ago


Job description

About the Team
Data Platform at OpenAI owns the foundational data stack powering critical product, research, and analytics workflows. We operate some of the largest Spark compute fleets in production; design, and build data lakes and metadata systems on Iceberg and Delta with a vision toward exabyte-scale architecture; run high throughput streaming platforms on Kafka and Flink; provide orchestration with Airflow; and support ML feature engineering tooling such as Chronon. Our mission is to deliver reliable, secure, and efficient data access at scale and accelerate intelligent, AI assisted data workflows.
Join us to build and operate these core platforms that underpin OpenAI products, research, and analytics.
We're not just scaling infrastructure - we're redefining how people interact with data. Our vision includes intelligent interfaces and AI-assisted workflows that make working with data faster, more reliable, and more intuitive.
About the Role
This role focuses on building and operating data infrastructure that supports massive compute fleets and storage systems, designed for high performance and scalability. You'll help design, build, and operate the next generation of data infrastructure at OpenAI. You will scale and harden big data compute and storage platforms, build and support high-throughput streaming systems, build and operate low latency data ingestions, enable secure and governed data access for ML and analytics, and design for reliability and performance at extreme scale.
You will take full lifecycle ownership: architecture, implementation, production operations, and on-call participation.
You've supported Spark, Kafka, Flink, Airflow, Trino, or Iceberg as platforms. You're well-versed in infrastructure tooling like Terraform, experienced in debugging large-scale distributed systems, and excited about solving data infrastructure problems in the AI space.
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
  • Design, build, and maintain data infrastructure systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure, machine learning infrastructure while ensuring scalability, reliability, and security
  • Ensure our data platform can scale by orders of magnitude while remaining reliable and efficient
  • Accelerate company productivity by empowering your fellow engineers & teammates with excellent data tooling and systems
  • Collaborate with product, research and analytics teams to build the technical foundations capabilities that unlock new features and experiences
  • Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents

You might thrive in this role if you:
  • Have 4+ years in data infrastructure engineering OR
  • Have 4+ years in infrastructure engineering with a strong interest in data
  • Take pride in building and operating scalable, reliable, secure systems
  • Are comfortable with ambiguity and rapid change
  • Have an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with others

This role is exclusively based in our San Francisco HQ. We offer relocation assistance to new employees.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.