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Data Operations Engineer Jobs (NOW HIRING)

FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress ...

Senior Data Operations Engineer

Boston, MA · On-site

$115K - $156K/yr

FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress ...

Data Operations Engineer II

$117K - $140K/yr

We are looking for a Data Operations Engineer II who displays a deep interest in and passion for scripting, automation, and operational reliability; an experienced and detail-oriented individual who ...

Description We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across ...

ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves ...

Description We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across ...

$111K - $134K/yr

We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves data across security ...

ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves ...

Software Data Operations Engineer

Plano, TX · On-site

$110K - $132K/yr

They are seeking a Software Data Operations Engineer to analyze existing systems, develop specifications, and verify implementation for cloud-based solutions. Responsibilities : • Collect ...

Description Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In ...

Description Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In ...

Software Data Operations Engineer Redmond, Washington About MAQ Software MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered ...

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Software Data Operations Engineer Plano (Dallas), Texas About MAQ Software MAQ Software enables leading companies to accelerate their business intelligence and analytics initiatives. Our AI-powered ...

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Use tools such as GitHub Copilot to assist with query optimization and Azure DevOps MCP Server to validate data lineage and dependencies within project repositories. * Design processing steps and ...

ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves ...

ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain real-time and near-realtime data ingestion pipelines supporting a mission-critical system and moves ...

Showing results 21-40

Data Operations Engineer information

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$85K

$135K

How much do data operations engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data operations engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data operations engineer?

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What are some common challenges faced by data operations engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.

What is the difference between Data Operations Engineer vs Data Analyst?

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently for analysis. They often work with tools like SQL, Python, and cloud platforms to automate workflows, monitor data quality, and support data-driven decision-making.
More about Data Operations Engineer jobs

What states have the most Data Operations Engineer jobs?

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

What job categories do people searching Data Operations Engineer jobs look for?

The top searched job categories for Data Operations Engineer jobs are:

Infographic showing various Data Operations Engineer job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.

Senior Data Operations Engineer

FieldAI

Boston, MA • On-site

$110K - $140K/yr

Full-time

Re-posted 11 days ago


Job description

FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use.
About the Role
Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics.
FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress-test that tooling yourself, and managing the interns and contractors who carry out the bulk of day-to-day collection and annotation. You'll work directly with the Research Operations Partner to scale FAIRI's in-house data function, and you'll set the technical and operational bar the rest of the Data Operations Engineering team is built around.
What You'll Do
Data Tooling & Infrastructure - 25%
  • Build and maintain hardware sensor suites - sensor harnesses, camera arrays, mounting fixtures, wearable sensor stacks (including soldering and cable assembly).
  • Write and maintain QA scripts for in-house and vendor data drops.
  • Build and maintain annotation software and other internal data tooling.
Data Collection & Annotation - 25%
  • Run motion capture, teleoperation, and human-subjects data collection sessions yourself - the fastest way to dogfood and stress-test tooling and protocols before handing them to the team.
  • Annotate robotics/AV datasets (object interaction, contact state, multi-agent) against FAIRI's evaluation framework.
  • Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above.

Team Management & Documentation - 25%
  • Manage and schedule data collection interns and contractors; own day-to-day throughput and quality.
  • Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process.
  • Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations.
  • Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues.

Technical Demo Support - 25%
  • Learn the product stack and operate various robotic platforms to demonstrate FieldAI FFM (Field Foundation Model) capabilities.
  • Support demo planning and execution, coordinating with the Research Operations Partner
  • Help produce content showcasing FieldAI's ability to deploy robots on dull, dirty,

and dangerous jobs.
  • Troubleshoot hardware and software issues live during demos with important stakeholders.
What You Bring
You don't need every skill below, but you should bring real, hands-on depth in several of them:
  • Soldering and cable assembly
  • Motion capture systems (e.g., Vicon, OptiTrack, markerless/IMU)
  • Data annotation for robotics or autonomous vehicles
  • QA for hardware and/or software
  • 3D scanning and 3D printing
  • Data collection and human subjects research (IRB/consent familiarity a plus)
  • AR/VR development or production
  • Python, Java, or equivalent scripting
  • LIDAR
  • Robotics (platforms, sensors, or control)
  • Linux command line
  • Blender or Unity
  • Film/TV production

Beyond the toolkit:
  • Comfortable moving between hardware and software in the same day: genuinely hands-on, not hands-off.
  • High ownership: you can take an open-ended ask ("troubleshoot why this data had issues ") and run with it without much hand-holding.
  • Strong documentation habits: you leave SOPs and processes better than you found them.
What Sets You Apart
  • Background in film/TV production, game development, data operations, or another field where wearing every hat is normal
  • Interest in humanoid robotics and how machines learn from human movement
Why FAIRI
This role sits inside FAIRI's Research Operations function, supporting the Humanoid Program. It's built to grow: the Data Operations Engineering track is expected to scale from one person today to a small team over the next 12-18 months, and this hire is a leading candidate for Data Operations Engineering Lead as that team stands up.
$110,000 - $140,000 a year
Why Join Field AI?
FieldAI is tackling one of robotics' hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most.
You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX.
Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally.
Be Part of the Next Robotics Revolution
Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability.
We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world.
Equal Opportunity
FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.