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Data Infrastructure Jobs (NOW HIRING)

Staff Data Infrastructure Engineer

New York, NY ยท On-site

$212K - $265K/yr

The Data Platform team is a group of Data Engineers and Data Infrastructure Engineers who build and own our Snowflake data warehouse, data ingestion tooling, AWS infrastructure, CI/CD, and data ...

Software Engineer, Data Infrastructure

$117K - $140K/yr

Figma is a company on a mission to make design accessible to all, and they are seeking a Software Engineer for their Data Infrastructure team. This role involves designing and building large-scale ...

Software Engineer, Data Infrastructure

San Francisco, CA ยท On-site +1

$134K - $162K/yr

In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion ...

Software Engineer, Data Infrastructure

Palo Alto, CA ยท Hybrid

$134K - $161K/yr

The Data Infrastructure team builds the foundational systems that manage the vast data generated by our global fleet of autonomous aircraft. In this role, you will design, build, and maintain the ...

Software Engineer, Data Infrastructure

San Francisco, CA ยท On-site

$134K - $162K/yr

In the coming years, we're focused on building the data infrastructure layer for Figma's AI-powered products, driving cost and performance optimizations across our data stack, scaling our ingestion ...

Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that ...

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Data Infrastructure information

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$25K

$123.3K

$195.5K

How much do data infrastructure jobs pay per year?

As of Jul 10, 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 engineers make $500,000?

Senior data infrastructure engineers, especially those with extensive experience, expertise in cloud platforms, and advanced skills in data architecture and distributed systems, can earn $500,000 or more annually. High compensation often involves working in large tech companies, leading complex projects, or holding executive-level roles such as Director or VP of Data Infrastructure.

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 does a data infrastructure engineer do?

A data infrastructure engineer designs, builds, and maintains the systems and tools that store, process, and manage large volumes of data. They work with technologies like cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for analytics and business operations.

What is the highest paying data job?

The highest paying data jobs typically include Data Engineering Manager, Data Architect, and Chief Data Officer, with salaries often exceeding $150,000 annually. These roles require advanced skills in data modeling, cloud platforms, and leadership, and they oversee large-scale data infrastructure and strategy.

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 is a data infrastructure?

Data infrastructure refers to the collection of hardware, software, networks, and storage systems that support the collection, processing, and storage of data within an organization. Data infrastructure professionals design, implement, and maintain these systems to ensure data availability, security, and efficiency, often using tools like cloud platforms and database management systems.

What is a Data Infrastructure job?

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.

More about Data Infrastructure jobs
What cities are hiring for Data Infrastructure jobs? Cities with the most Data Infrastructure job openings:
What are the most commonly searched types of Data Infrastructure jobs? The most popular types of Data Infrastructure jobs are:
What states have the most Data Infrastructure jobs? States with the most job openings for Data Infrastructure jobs include:
Infographic showing various Data Infrastructure job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,312 per year, or $59.3 per hour.
Staff Data Infrastructure Engineer

Staff Data Infrastructure Engineer

Headway

New York, NY โ€ข On-site

$212K - $265K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

1 in 4 people in the US have a treatable mental health condition, but most providers don't accept insurance, making therapy too expensive for most people. Headway's mission is to fix this by building a new mental healthcare system everyone can access. We started by solving the biggest barrier to care: insurance. The admin work - credentialing, claims, payment reconciliation - is a nightmare. We've automated that.
But we're going further. Over 75,000 providers across all 50 states run their practice on our software, serving over 1 million patients. We are building the best tools for therapists to run their entire practice, reimagining the experience of finding a therapist, and investing in the platform foundations to enable this at scale. We aren't just a billing layer; we are becoming the platform where care actually happens.
We're a Series D company with $325M+ in funding (a16z, Accel, Spark Capital, etc.), looking for exceptional people to help us achieve this mission. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.
About Data Platform at Headway
Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software and data can provide. The Data Platform team is a group of Data Engineers and Data Infrastructure Engineers who build and own our Snowflake data warehouse, data ingestion tooling, AWS infrastructure, CI/CD, and data developer experience. As we scale, we're looking for a Staff Data Infrastructure Engineer to architect, lead, and evolve the foundational systems that power our entire data organization, including new AI-driven workflows being adopted by non-technical staff. You'll serve as a technical anchor across our Data Analytics & Engineering, Product Engineering, and Machine Learning teams. This is not an analytics role.
Who you are
A technical leader who combines deep infrastructure expertise with the organizational instincts to drive alignment across teams. You thrive in ambiguity, operate with a high degree of ownership, and are as comfortable setting technical direction as you are building. You make other engineers better through code, architecture review, documentation, and mentorship.
Experience we're seeking:
  • 10+ years as a Data Platform Engineer, Software/Infrastructure Engineer specializing in data, or Data Engineer in a high-code, high-scale environment
  • Track record of driving technical strategy and cross-functional alignment, including defining roadmaps for a data platform or infrastructure domain
  • Deep expertise building full-stack data platforms: data warehousing, ingestion pipelines, orchestration, monitoring and alerting, CI/CD, developer tooling, cloud infrastructure, and third-party integrations
  • Architectural fluency in warehouse design patterns, performance tuning, cost management, and permissions strategies on MPP analytics databases (Snowflake strongly preferred; Databricks, BigQuery, or Redshift also relevant)
  • Experience leading technical initiatives end-to-end across multiple teams and codifying engineering standards
  • Proficiency designing and operating cloud infrastructure at scale (AWS preferred) using infrastructure-as-code (Terraform, Pulumi, AWS CDK)
  • Strong Python engineering skills; solid SQL foundations; comfort with distributed systems
  • Experience maintaining and scaling pipeline orchestration infrastructure (Airflow/Astronomer preferred)
  • Mentorship track record growing junior and mid-level engineers

Bonus points for:
  • Agentic Data Engineering (automating data infrastructure tasks, auditing permissions, optimized CI)
  • APM and observability tooling (DataDog, New Relic) and data quality/observability frameworks
  • ETL/ELT best practices at scale
  • Data security and compliance in regulated environments, especially PHI
  • Greenfield platform development in a high-growth startup
  • Docker, GitHub Actions, dbt, Spark
  • Build vs. buy decision-making and vendor evaluation

You'll love this role if you want to:
  • Set technical direction for data infrastructure at a company redefining access to mental healthcare
  • Serve as a force multiplier, making data engineers, analysts, and ML practitioners more effective through the systems and standards you put in place
  • Own consequential architectural decisions from whiteboard to production
  • Build in a fast-paced environment where we ship multiple times per day and measure impact quickly
  • Help shape Headway's engineering culture, processes, and documentation with the same rigor we bring to our products

Compensation and Benefits:
The expected base pay range for this position is $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.
We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.
  • Benefits offered include:
    • Equity compensation
    • Medical, Dental, and Vision coverage
    • HSA / FSA
    • 401K
    • Work-from-Home Stipend
    • Therapy Reimbursement
    • 16-week parental leave for eligible employees
    • Carrot Fertility annual reimbursement and membership
    • 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
    • Flexible PTO
    • Employee Assistance Program (EAP)
    • Training and professional development

We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem - across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview.
Headway participates in E-Verify. To learn more, click here.
A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers. Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.