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Staff Data Engineer Jobs (NOW HIRING)

Staff Data Engineer

$117K - $140K/yr

The Staff Data Engineer role is part of the Bamboo Health Engineering Team. You would serve as a lead engineer responsible for building and supporting Data Warehousing and reporting functions. As ...

About The Role As our Staff Data Engineer , you will own and evolve the foundational data systems that power NexHealth's analytics and unlock the next generation of customer-facing insights. This is ...

Staff Data Engineer The Data team is responsible for designing and operating the data infrastructure that powers insight, reporting, analytics, and machine learning across the business. As a Staff ...

Staff Data Engineer The Data team is responsible for designing and operating the data infrastructure that powers insight, reporting, analytics, and machine learning across the business. As a Staff ...

OR

$180/hr

What You'll Do As a Staff Data Engineer at Imagine Pediatrics, you will be the first dedicated Data Engineer on a hybrid team with Analytics Engineers, responsible for defining how data moves through ...

Staff Data Engineer

San Diego, CA

$121K - $146K/yr

The Role As Staff Data Engineer, you will provide senior onshore technical leadership for the data engineering team. You will own a defined slice of our centralized Databricks data platform with full ...

What You'll Do As a Staff Data Engineer at Imagine Pediatrics, you will be the first dedicated Data Engineer on a hybrid team with Analytics Engineers, responsible for defining how data moves through ...

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 ...

As a "Staff Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices. You will have deeper understanding of ...

As a Staff Data Engineer, you will own the technical architecture and production runtime of JobNimbus's enterprise integration portfolio and external data engine. This is a heavy backend systems ...

As a "Staff Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices. You will have deeper understanding of ...

Staff, Data Engineer

Cassville, MO · On-site

$110K - $220K/yr

As a "Staff Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices. You will have deeper understanding of ...

As a "Staff Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices. You will have deeper understanding of ...

Staff, Data Engineer

Tontitown, AR · On-site

$110K - $220K/yr

As a "Staff Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices. You will have deeper understanding of ...

As a "Staff Data Engineer", you should be able to technically help and assist team to steer through correct technical directions following the best practices. You will have deeper understanding of ...

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Showing results 1-20

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

$190K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

111th of 139 rated electronics manufacturers


Job description

Position Summary

Staff Data Engineer:
Samsung Ads is a leading innovator in advertising technology, dedicated to providing cutting-edge solutions that optimize ad performance and deliver exceptional results for our clients. We seek a talented Staff Data Engineer to play a pivotal role in enhancing our platform's performance advertising capabilities. As an integral part of our engineering team, you will collaborate with cross-functional teams to design, implement, and optimize attribution models, ensuring accurate measurement of marketing campaign effectiveness.

Role and Responsibilities

Responsibilities

  • Develop and implement advanced data solutions supporting billing, reporting and any other systems within the team's scope.
  • Collaborate with data scientists, product managers, and other engineers to refine and improve data processes.
  • Design and maintain scalable and optimized data pipelines for efficient collection, processing, and storage of data.
  • Work closely with stakeholders to understand and translate business requirements into technical solutions.
  • Conduct A/B testing and performance analysis to validate and iterate on data processes.
  • Stay updated on industry trends and emerging technologies related to data engineer and ad tech.

Qualifications

  • Bachelor's or master's in computer science, Data Science, or a related field.
  • Requires at least 8 years of related experience and a bachelor's degree; or 6 years and a master's degree; or a PhD with 3 years
  • Proven experience in delivering data engineering solutions in ad tech industry.
  • Strong programming skills in Python, Java, and Scala.
  • Experience in working with Kubernetes and stream data processing frameworks (Flink, Apache Ignite)
  • Proficient in working with big data technologies and databases (e.g., Hadoop, Spark, SQL, and MapReduce).
  • Hands-on experience with orchestration tools like Airflow or similar
  • Solid understanding of statistical concepts and experience with relevant tools.
  • Excellent problem-solving and communication skills.

Skills and Qualifications

Preferred Qualifications

  • Experience with RESTful API.
  • Experience with Golang
  • Familiarity with real-time data processing and streaming technologies.
  • Knowledge of end-to-end digital advertising ecosystems and industry standards.
  • Knowledge of Snowflake and related technologies

Compensation for this role, for candidates based in Mountain View, CA is expected to be between $190,000 ~ $215,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.

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