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Staff Data Engineer Jobs (NOW HIRING)

Staff Data Engineer

Los Angeles, CA

$123K - $148K/yr

As the Staff Data Engineer for Concepts Lab , you will be the technical anchor for everything data in the lab: designing and building the pipelines, reports, and tooling that turn raw signals from ...

As a Staff Data Engineer, you'll join our Value Added Services - Digital Marketing & Engagement organization. You will help design, enhance, and build our Visa data token platform within an agile ...

Staff Data Engineer

New York, NY · On-site

$200K - $250K/yr

The Role As our Staff Data Engineer , you'll architect our data platform while solving our most complex technical challenges. You'll build the foundation for Imprint's next decade of growth: scaling ...

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and making a direct impact on our mission. We want you to provide technical leadership to your teammates ...

Staff Data Engineer

San Francisco, CA · On-site

$177K - $226K/yr

This role is ideal for a Staff-level engineer who has seen and built great data platforms, is not afraid of legacy, and thrives in environments where the vision is clear, the systems are evolving ...

Staff Data Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

ABOUT THE TEAM As a Staff Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our ...

Staff Data Engineer sought by CrossCountry Mortgage, LLC for a position based in Charlotte, NC. Must have a Bachelor's degree in Computer Science, Information technology (or related) and 60 months of ...

ABOUT THE TEAM As a Staff Data Engineer on the Analytics Team, you will be collaborating with stakeholders across the company to design, build and implement data pipelines and models that enable our ...

Staff Data Engineer

Boca Raton, FL · On-site

$108K - $130K/yr

ModMed is hiring a driven Staff Data Engineer with a passion for technology to help revolutionize the world of Healthcare IT. Data engineers are at the core of a data-driven business; they build and ...

This role The Staff Data Engineer is responsible for ensuring that the organization has reliable, accessible, and well-organized data by designing and maintaining systems that process information in ...

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

Staff Data Engineer

$180K - $220K/yr

What you will Do We are seeking a seasoned Senior / Staff Data Engineer to drive scale, performance, and actionability within our data ecosystem. You will strengthen and scale our Python and ...

Staff Data Engineer

$200K - $260K/yr

We're seeking a Staff Data Engineer who's passionate about building and scaling robust data infrastructure, defining integration patterns, and driving technical strategy across large-scale systems.

Xometry is looking for a Staff Data Engineer to join our Data Platform team. This is a senior individual contributor role with broad technical scope and high organizational impact. You will own data ...

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Staff Data Engineer information

See salary details

$23K

$99.3K

$192.5K

How much do staff data engineer jobs pay per year?

As of Jun 15, 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 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 are Staff Data Engineers?

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 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:
What job categories do people searching Staff Data Engineer jobs look for? The top searched job categories for Staff Data Engineer jobs are:
Infographic showing various Staff Data Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $99,330 per year, or $47.8 per hour.
Staff Data Engineer

$123K - $148K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

About the role

In the role of Staff Data Engineer for Concepts Lab, you will report to the VP of the Concepts Lab.

We are considering applicants for the location of Los Angeles, CA (onsite).

As the Staff Data Engineer for Concepts Lab, you will be the technical anchor for everything data in the lab: designing and building the pipelines, reports, and tooling that turn raw signals from experiments into insights that shape our roadmap. 

You will move fluidly between hands-on analytics work, and partnership with PMs, designers, and engineers across the company. Success in your first year looks like a Concepts Lab where every new idea has a clear, trustworthy path from question to data to decision and where the team ships faster because of the foundation you have built.

Core Areas of Responsibility
  • Own the reliability of AI systems in the lab, including designing eval frameworks, instrumenting observability for LLM-based pipelines, and building the validation and structured-output layers that make model outputs trustworthy. 
  • Architect and build the end-to-end data foundation for Concepts Lab on Databricks (Delta Lake, Unity Catalog, Spark, Databricks SQL), spanning ingestion from AWS and GCP sources through to curated, analytics-ready datasets.
  • Lead data modeling and transformation work by defining the dimensional models, semantic layers, and metrics that the lab and our partners across Crunchyroll rely on for experimentation and decision-making.
  • Perform hands-on analytics: write the SQL, build the dashboards, and run the exploratory analyses that turn lab concepts into evidence, partnering directly with PMs and product leaders on the questions that matter.
  • Set the technical bar for the lab's data work, including design reviews, code quality, observability, cost management, and security practices, and mentor engineers and analysts who collaborate with us.
  • Partner across teams to move successful concepts from prototype into production, working at the inflection point between central Data and Platform teams and upstream and downstream Software Engineering teams to hand off systems that scale beyond the lab.
About You

We get excited about candidates, like you, because...

  • You have 12+ years of professional experience building production data systems, with a track record of operating as a senior individual contributor or technical lead.
  • You have hands-on experience making AI systems production-grade by designing trace-based evaluations, instrumenting observability for LLM pipelines (with tools like LangSmith, Langfuse, or Datadog), and enforcing structured outputs in real production environments.
  • You possess deep expertise in Databricks, including Spark (PySpark and/or Scala), Delta Lake, Unity Catalog, Databricks SQL.
  • You are equally strong in SQL and dimensional data modeling, and have shipped warehouse layers and semantic models that analysts and stakeholders actually trust and use.
  • You write production-grade Python and have built data pipelines with modern orchestration tools (Airflow, Dagster, dbt, or similar) on AWS and/or GCP.
  • You have done substantive analytics work yourself beyond just enabling others and can take an ambiguous business question and drive it to a clear, data-supported answer.
  • You have experience working in early-stage, ambiguous environments where you define the problem as much as you solve it, and you know when to prototype quickly versus when to build for the long term.
Nice to Have
  • Experience in media, streaming, or gaming
  • Experience working in an innovation lab, incubation environment, or R&D organization
  • Experience with Datadog, Mixpannel, and Mux
About the Team

The Concepts Lab is Crunchyroll's R&D and incubation group, focused on exploring new ideas, technologies, and experiences for anime fans. The team partners closely with engineering, product, and business leaders to test assumptions, build evidence, and transition validated concepts into delivery teams.

Our work spans early discovery through beta execution, with an emphasis on learning quickly, reducing risk, and setting teams up for long-term success.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

  • Receive a great compensation package including salary plus performance bonus earning potential, paid annually.
  • Flexible time off policies allowing you to take the time you need to be your whole self.
  • Generous medical, dental, vision, STD, LTD, and life insurance
  • Health Saving Account HSA program
  • Health care and dependent care FSA
  • 401(k) plan, with employer match
  • Employer paid commuter benefit
  • Support program for new parents
  • Pet insurance and some of our offices are pet friendly!

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