1

Staff Data Engineer Jobs (NOW HIRING)

As a Staff engineer you'll act as a technical lead: partnering with the Data Engineering manager to shape technical strategy and architecture, mentoring and growing junior and mid-level data ...

The Staff Data Engineer is an expert data handler and developer who has demonstrated their capacity for solving problems of broad scope that support the success of their value stream. The Staff Data ...

Staff Data Engineer

San Francisco, CA · On-site

$180 - $280/hr

We are seeking a Staff Data Engineer to join our growing team. Our data platform spans a wide surface area: infrastructure, CDC streaming, Databricks operations and runtime, data pipelines, developer ...

New

We're looking for a Staff Data Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the ...

Staff Data Engineer

New York, NY · On-site

$212K - $265K/yr

About Data Engineering at Headway Headway is looking for a Staff Data Engineer to help us get closer to executing our mission: to create access to affordable, quality mental healthcare across the ...

Staff Data Engineer

San Francisco, CA · On-site +1

$150K - $200K/yr

About the Role We're hiring a Staff Data Engineer to build the data foundation for a new discovery-stage team focused on Taskrabbit client retention and personalization. The team's mandate is to turn ...

We're looking for a Staff Data Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the ...

Staff Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

About the Role We're hiring a Staff Data Engineer to build the data foundation for a new discovery-stage team focused on Taskrabbit client retention and personalization. The team's mandate is to turn ...

We're looking for a Staff Data Engineer to lead the design, development, and operation of AI agents that power intelligent experiences across the Material Bank platform. This role sits at the ...

Staff Data Engineer

$175K - $220K/yr

Staff Data Engineer This job is open to fully remote work. Company Overview b.well is solving healthcare's fragmentation problem with our FHIR-based health data management platform. The platform ...

We are seeking a Staff Data Engineer to join our growing team. Our data platform spans a wide surface area: infrastructure, CDC streaming, Databricks operations and runtime, data pipelines, developer ...

New

$180 - $280/hr

We are seeking a Staff Data Engineer to join our growing team. Our data platform spans a wide surface area: infrastructure, CDC streaming, Databricks operations and runtime, data pipelines, developer ...

New

Staff Data Engineer

San Francisco, CA · Hybrid

$134K - $162K/yr

About the Role We're hiring a Staff Data Engineer to build the data foundation for a new discovery-stage team focused on Taskrabbit client retention and personalization. The team's mandate is to turn ...

Staff Data Engineer

San Jose, CA · On-site

$17K - $215K/yr

As a Staff Data Engineer on the AI Platform team, you will design, build, and operate the data infrastructure that powers large-scale model training and inference. You will own the pipelines, storage ...

Staff Data Engineer

San Francisco, CA · On-site

$186 - $221.90/hr

About The Staff Data Engineer Role You will lead the design and implementation of reproducible, scalable data workflows that power Keystone's most data‑intensive projects. You will architect ...

ABOUT THIS ROLE The Staff Data Engineer is a senior leader responsible for designing and evolving core components of onX's lakehouse and data platform. This role focuses on how data is structured ...

A rapidly growing SaaS technology company is hiring a remote Staff Data Engineer to lead the design, development, and evolution of enterprise-scale data systems that power critical business ...

Showing results 21-40

Staff Data Engineer information

See salary details

$23K

$99.3K

$192.5K

How much do staff data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for staff data engineer in the United States is $99,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a staff data engineer?

Staff Data Engineers are senior-level professionals responsible for designing, building, and maintaining large-scale data processing systems and architectures. They often lead technical initiatives, set data engineering standards, and mentor other engineers within a company. Staff Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure reliable and efficient data pipelines. Their role requires deep expertise in data modeling, ETL processes, distributed systems, and cloud technologies. They play a crucial part in enabling organizations to make data-driven decisions at scale.

How does a staff data engineer typically collaborate with cross-functional teams to deliver data-driven solutions?

As a Staff Data Engineer, you’ll frequently partner with data scientists, analysts, and product managers to understand project requirements and design scalable data systems. You'll be responsible for translating business needs into technical specifications, recommending best practices, and mentoring junior engineers. Collaboration often involves participating in sprint planning, code reviews, and architecture discussions to ensure data solutions are robust, secure, and aligned with organizational goals. Effective communication and a proactive approach to problem-solving are key to successful collaboration in this role.

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

To thrive as a Staff Data Engineer, you need advanced proficiency in data architecture, programming (such as Python, Java, or Scala), and experience with large-scale data systems, supported by a bachelor's or master's degree in computer science or a related field. Familiarity with big data tools (Hadoop, Spark), cloud platforms (AWS, GCP, or Azure), and relevant certifications like Google Professional Data Engineer or AWS Data Analytics are typically required. Strong problem-solving abilities, effective communication, and leadership skills help drive cross-functional projects and mentor junior engineers. These skills ensure the design, implementation, and maintenance of robust data infrastructure that supports organizational decision-making and scalability.

What is the difference between Staff Data Engineer vs Data Engineer?

AspectStaff Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience with big data toolsBachelor's in CS or related field, some experience with data pipelines
Work EnvironmentSenior-level, cross-team collaboration, leadership rolesEntry to mid-level, focused on building data pipelines
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsStartups, small to medium enterprises, tech firms

The main difference is that a Staff Data Engineer typically has more experience, leadership responsibilities, and works on complex projects across teams, whereas a Data Engineer focuses on developing and maintaining data pipelines at an operational level.

More about Staff Data Engineer jobs

What cities are hiring for Staff Data Engineer jobs?

Cities with the most Staff Data Engineer job openings:

What states have the most Staff Data Engineer jobs?

States with the most job openings for Staff Data Engineer jobs include:

Infographic showing various Staff Data Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $99,330 per year, or $47.8 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 hours ago


Job description

Join the company that's building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world's biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what's next.
We're one of the fastest-growing private companies and a leading player in a massive, fast-moving market. With a global workforce, we're remote-first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.
Why You'll Love This Role
We're looking for a Staff Data Engineer to serve as a technical leader on Cribl's Data Engineering team. You will be someone who can set direction for the systems that power analytics, data science, and operational decision-making across the company. You'll operate at the intersection of the modern data stack (Snowflake, SQL, dbt), software and platform engineering (AWS, infrastructure-as-code, orchestration, observability), and our fast-emerging AI/agentic workflows.
This is a high-leverage, hands-on leadership role. As a Staff engineer you'll act as a technical lead: partnering with the Data Engineering manager to shape technical strategy and architecture, mentoring and growing junior and mid-level data engineers, and raising the bar on how the team designs, builds, and operates its platform. The pipelines, services, and standards you establish will directly influence how teams across Cribl understand the business, make better decisions, and experiment with new AI-driven experiences.
We pride ourselves on fostering a collaborative and innovative culture where team members enjoy working together - whether remotely or over a meal at a foodie hot spot. If you're a seasoned engineer who thrives in an entrepreneurial environment, leads through influence and example, and is eager to help build a company poised for legendary success in the tech industry, we want to hear from you!
As An Active Member Of Our Team, You Will...
  • Serve as a technical lead for the Data Engineering team. Own architecture and design decisions for core data systems and drive reliable, production-grade outcomes.
  • Partner with stakeholders across functions (Data Analysts, SREs, IT Engineers, and business teams). Clarify requirements, validate outputs, and communicate risks, tradeoffs, and timelines proactively.
  • Own and operate our self-hosted orchestration platform. Run and evolve our self-managed Prefect deployment and its build/worker system. Own the operational hygiene, upgrade path, and cost/footprint tradeoffs of running orchestration on a hybrid, self-hosted model.
  • Own Cribl's Snowflake environment. Serve as the subject-matter expert on data modeling, performance, and cost optimization, and own RBAC/permissions design, permissions tooling, and governance.
  • Build, operate, and monitor the core data tech stack. This covers data pipelines, ingestion services, integrations, and the warehouse, ensuring data is accurate, timely, and trusted, with logging, alerting, and observability as first-class concerns.
  • Advance the modern data stack. Drive our dbt practice forward, including the in-flight dbt Fusion migration, and own warehouse cost/performance at scale.
  • Develop cloud-native services and infrastructure on AWS. This includes our ingest/API services (event-driven ingestion, upsert patterns, package reuse) and the IaC that supports them.
  • Advance our infrastructure-as-code practice (Terraform or similar). Build reusable modules, clean deployment patterns, CI integration, and strong operational hygiene, including self-hosted/hybrid deployment patterns.
  • Partner with the Data Engineering manager to set technical direction. Shape the platform roadmap, engineering standards, and build-vs-buy/architectural tradeoffs.
  • Mentor and grow data engineers through code review, pairing, design feedback, and coaching that levels up junior and mid-level engineers.
  • Support Cribl's growing data science and agentic initiatives. Prepare model-ready datasets, expose features, and integrate AI/LLM workflows into production.
  • Contribute to secure, compliance-minded engineering practices in collaboration with IT/Security.
  • We are a remote-first company and work happens across many time-zones - you may be required to occasionally perform duties outside your standard working hours

If You've Got It - We Want It
  • Deep expertise in Snowflake: advanced data modeling, query and warehouse performance tuning, cost management, and security/RBAC design. This is the most important qualification for the role.
  • Demonstrated technical leadership: experience as a tech lead or staff-level engineer setting direction, driving architecture, and delivering complex systems across a team.
  • Excellent communication and cross-functional collaboration: able to work across data, engineering, and business teams and lead through influence.
  • A track record of mentoring engineers: growing junior and mid-level engineers through coaching, review, and pairing.
  • Strong Python and SQL fundamentals, with solid ELT patterns and data modeling experience.
  • Hands-on experience operating self-hosted / self-managed orchestration. Prefect strongly preferred; equivalent experience running (not just authoring on) Airflow/Dagster on your own infrastructure is acceptable. Must be comfortable owning upgrades, workers, and the operational footprint, not only writing DAGs/flows.
  • Hands-on AWS and infrastructure-as-code experience: building cloud infrastructure with Terraform (or equivalent) using predictable, maintainable patterns.
  • Experience building cloud applications or backend services: APIs, ingestion services, and event-driven workflows.
  • Production-grade engineering practices: logging, alerting, versioning, CI/CD.
  • Fluency building with AI-assisted development platforms such as Claude Code, with a demonstrated ability to use them to accelerate delivery.

#LI-JB1
#LI-Remote
The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience.
In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program.
In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity.
Base Salary Range
$170,000-$220,000 USD
Bring Your Whole Self
Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We're building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.
Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you'll ever meet at cribl.io/about-us.