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Data Collection Engineer Jobs (NOW HIRING)

Obvio Inc

Data Collection Contractor

College Park, MD · On-site

About the Opportunity Obvio is seeking a contract Field Data Collection Technician to support ... Technical education or experience preferred, such as computer science, engineering, data science ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Develop data collection plans, including methodologies and storage strategies for raw and processed ... or Engineering. * In lieu of degree: equivalent coursework that involved the development or ...

Citylogix

Field Data Collection Technician

Wakefield, MA · On-site

$20.75 - $28.50/hr

We build intelligent GIS and asset management solutions that help municipalities and engineering ... During our peak seasons, you will be facilitating our data collection shifts. The shifts can range ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$110K - $133K/yr

Develop data collection plans, including methodologies and storage strategies for raw and processed ... or Engineering. * In lieu of degree: equivalent coursework that involved the development or ...

AERMOR

Data Engineer

Norfolk, VA · On-site

$98K - $118K/yr

... collection and verification activities. Responsibilities : • Perform data mining, cleaning ... programming languages and tools such as R, Python, SAS, SPSS, STATA, Tableau, and PowerBI to ...

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Data Collection Engineer information

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$51.5K

$147.5K

$197K

How much do data collection engineer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for data collection engineer in the United States is $147,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $196,000.00 per year, depending on experience, location, and employer.

What are some common challenges Data Collection Engineers face when gathering and managing large-scale datasets?

Data Collection Engineers frequently encounter challenges such as ensuring data quality and consistency across various sources, managing the volume and velocity of incoming data, and handling data privacy or compliance concerns. They must also design robust pipelines that can scale as data needs grow, and often collaborate with data scientists, software engineers, and product teams to align data collection strategies with project goals. Regularly troubleshooting data ingestion errors and adapting to changing data requirements are also key parts of the role.

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

AspectData Collection EngineerData Analyst
Primary FocusDesigning and implementing data collection systems and pipelinesAnalyzing and interpreting data to support business decisions
Skills & CertificationsData engineering, SQL, programming (Python, Java), data architectureStatistical analysis, data visualization, SQL, Excel
Work EnvironmentData engineering teams, IT infrastructure, cloud platformsBusiness units, analytics teams, reporting tools

While Data Collection Engineers focus on building and maintaining data pipelines and infrastructure, Data Analysts interpret the collected data to generate insights. Both roles often collaborate but serve different stages of the data lifecycle, with the engineer ensuring data availability and the analyst deriving actionable insights.

What are Data Collection Engineers?

Data Collection Engineers are professionals who design, implement, and maintain systems for gathering data from various sources. Their work involves creating pipelines to collect, store, and preprocess data, often in support of analytics, machine learning, or business intelligence projects. They work closely with data scientists and software engineers to ensure data quality and reliability. Data Collection Engineers may use a range of tools and technologies, such as APIs, web scraping frameworks, and database management systems, to automate and optimize data acquisition processes.

Is AI replacing data engineers?

AI is transforming the role of data collection engineers by automating certain tasks such as data preprocessing and integration, but it does not fully replace the need for human expertise in designing data pipelines, managing data quality, and ensuring security. Data engineers continue to be essential for building and maintaining the infrastructure that supports AI and machine learning systems. Skills in programming, database management, and cloud platforms remain critical in this evolving field.

What engineers make $500,000?

Senior data collection engineers or related roles in data engineering and analytics can reach salaries of $500,000 or more, especially with extensive experience, advanced skills in cloud platforms, big data tools, and certifications. These high salaries are often found in large tech companies, finance, or specialized industries where data infrastructure is critical. Compensation may include base salary, bonuses, and stock options.

What engineers make $300,000 a year?

Senior data collection engineers, especially those with extensive experience, advanced skills in data systems, and expertise in tools like SQL, Python, or cloud platforms, can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, specialized industries, or positions requiring leadership and strategic oversight.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in building and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but overall, data engineering is considered a well-paying profession in the tech field.

What are the key skills and qualifications needed to thrive as a Data Collection Engineer, and why are they important?

To thrive as a Data Collection Engineer, you need a solid background in computer science or engineering, experience with data acquisition, and proficiency in programming languages like Python or Java. Familiarity with data collection frameworks, APIs, sensor technologies, and cloud platforms is commonly required, along with certifications in data engineering or related fields. Strong analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with cross-functional teams and troubleshooting issues. These skills and qualities are important to ensure accurate, reliable, and scalable data pipelines that support critical business analytics and decision-making.
More about Data Collection Engineer jobs
What states have the most Data Collection Engineer jobs? States with the most job openings for Data Collection Engineer jobs include:
What job categories do people searching Data Collection Engineer jobs look for? The top searched job categories for Data Collection Engineer jobs are:
Data Collection Engineer jobs near you
Infographic showing various Data Collection Engineer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $147,461 per year, or $70.9 per hour.

Data Collection Operator (Swing Shift)

RoboForce

Milpitas, CA • On-site

$30 - $35/hr

Full-time

Posted 3 days ago

Job description

Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. Our robots are engineered for demanding outdoor environments, with a focus on real-world deployment and scalability.
We are seeking a Data Collection Operator (Contractor) to operate and support robotic systems through advanced robotic control interfaces. In this role, you will execute precise manipulation tasks across a variety of real-world workflows, while generating high-quality data to power RoboForce's AI systems.
This is a hands-on, physical role requiring strong coordination, attention to detail, and sustained focus in a lab/industrial environment.
Responsibilities
  • Perform data collection tasks such as manipulation of objects, walk pre-determined routes, follow testing guidelines and test protocols at RoboForce facilities and in public environments.
  • Start/stop recording devices and perform minor equipment and software debugging.
  • Provide feedback on the performance of the equipment.
  • Analyze and report on data collected during shift.
  • Upload data collected and write daily reports detailing observations and issues.
  • Maintain equipment in safe working condition, prioritize safety protocols, and communicate with leadership promptly.

Requirements
  • Associate's or Bachelor's degree (or equivalent experience).
  • Familiar with using teleop tools like UMI style, GELLO style, VR-Based Systems, etc.
  • Strong attention to detail and manual dexterity.
  • Ability to follow detailed instructions and work independently with minimal supervision.
  • Clear written communication and a collaborative attitude.
  • Basic proficiency with software for data upload and reporting.
  • Ability to perform technical troubleshooting on equipment and willingness to learn new technologies quickly.

Bonus Qualifications
  • Experience with robotic systems, teleoperation, or related fields.
  • Basic working knowledge and familiarity with computer software interfaces and tools (e.g., the command line, bash, linux OS).
  • Hands-on experience annotating video (boxes/masks/keypoints, action labels, ID tracking).
  • Proficiency with annotation tools; comfort with pre-annotation/autolabel review and correction.
  • Knowledge of common annotation formats (e.g., COCO, YOLO, MOT/KITTI) and basic video concepts (frame rate, codecs).
Benefits
  • Lunches and dinners, a fully stocked kitchen.
  • The US hourly rate for this position is $30-$35.

Shift - Monday-Friday, 03:00 PM-11:00 PM

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