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Remote Data Acquisition Engineer Jobs in New York

SysMind Tech

Senior Cloud Data Engineer

Manhattan, NY · On-site +1

$116K - $158K/yr

This role will be remote without any travel required. The ideal candidate will be available during ... Identify opportunities for data acquisition * Develop analytical tools and programs * Collaborate ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design, coding, performance tuning, and implementation of new data warehousing solutions. * Evaluation ...

Resource Innovations

Energy Engineer

Jersey City, NJ · On-site +1

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

Resource Innovations

Energy Engineer

Jersey City, NJ · Remote

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

MedReview

Data Engineer

Manhattan, NY · Remote

$117K - $140K/yr

Your mission is to evolve our current environment into a rapid-acquisition engine capable of ... Structure data environments to support the full ML lifecycle, from feature engineering and training ...

Gain America

Data Engineer - Remote (US)

Hicksville, NY · On-site +1

$124K/yr

Gain America is recruiting a Data Engineer for contract and contract-to-hire engagements with our ... Fully remote (U.S.-based) Core stack: Python, SQL, Spark, Snowflake, dbt, Airflow, AWS/Azure data ...

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Remote Data Acquisition Engineer information

What is a remote data acquisition engineer?

A Remote Data Acquisition Engineer is a professional who designs, implements, and manages systems that collect and transmit data from various remote locations. They work with hardware and software solutions to ensure accurate and efficient data gathering, often for industries like energy, environmental monitoring, and manufacturing. These engineers troubleshoot connectivity issues, ensure data integrity, and may also analyze the collected data. The role typically involves working with sensors, data loggers, communication networks, and sometimes cloud platforms. Remote Data Acquisition Engineers play a critical role in enabling real-time decision-making and automation for organizations.

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

To thrive as a Remote Data Acquisition Engineer, you need a strong background in data collection methodologies, signal processing, and relevant engineering fields such as electrical or computer engineering, often supported by a bachelor's degree. Proficiency with data acquisition systems (DAQ), programming languages like Python or LabVIEW, and familiarity with remote monitoring hardware and networking protocols is typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These skills enable efficient and accurate data gathering, troubleshooting, and collaboration across distributed teams, ensuring project success.

What are some common challenges faced by a remote data acquisition engineer when collaborating with distributed teams?

Remote Data Acquisition Engineers often work with cross-functional teams spread across different locations and time zones. One common challenge is ensuring seamless communication when troubleshooting data collection issues or deploying new acquisition systems. Engineers must be proactive in documenting processes and using collaborative tools to keep all stakeholders informed. Regular virtual meetings and clear documentation help bridge gaps, but remote work also requires strong self-management skills to handle tasks independently while staying aligned with the team’s goals.

What is the difference between Remote Data Acquisition Engineer vs Data Analyst?

AspectRemote Data Acquisition EngineerData Analyst
Required CredentialsBachelor's in Engineering, Computer Science, or related field; technical certificationsBachelor's in Statistics, Mathematics, or related field; data analysis certifications
Work EnvironmentFieldwork, remote data collection, technical setupOffice or remote, data interpretation and reporting
Employer & Industry UsageTech, manufacturing, research firmsBusiness, finance, marketing, healthcare
Search & Comparison IntentTechnical data collection rolesData interpretation and reporting roles

The Remote Data Acquisition Engineer focuses on collecting raw data through technical methods, often involving fieldwork and specialized equipment. In contrast, Data Analysts interpret, analyze, and visualize data to support decision-making. While both roles require strong analytical skills, the engineer emphasizes data collection techniques, whereas the analyst emphasizes data interpretation.

What are popular job titles related to Remote Data Acquisition Engineer jobs in New York?

For Remote Data Acquisition Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Data Acquisition Engineer jobs in New York look for?

The top searched job categories for Remote Data Acquisition Engineer jobs in New York are:

What cities in New York are hiring for Remote Data Acquisition Engineer jobs?

Cities in New York with the most Remote Data Acquisition Engineer job openings:

Remote Data Acquisition Engineer jobs near you
Infographic showing various Remote Data Acquisition Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Mechanical Engineering Expert - Remote

YO AI Labs

New York, NY • Remote

Full-time

Posted 6 days ago

Job description

Mechanical Engineering Technician

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Mechanical Engineering Technicians to support an advanced AI benchmark project. You will use your hands-on technical expertise to create realistic testing, data interpretation, and failure-diagnosis scenarios.

No prior AI experience is required.

Key Responsibilities
  • Create realistic technician tasks involving test setup, instrumentation, data collection, and failure diagnosis.
  • Develop technical datasets such as test logs, calibration records, sensor outputs, and failure reports.
  • Define accurate solution pathways and next-step recommendations based on test data.
  • Create detailed 35+ point grading rubrics covering instrumentation, data interpretation, and failure analysis.
  • Document test procedures, observations, results, and diagnostic findings clearly.
  • Ensure tasks reflect real-world professional complexity rather than textbook scenarios.
Required Skills
  • Test Setup
  • Data Interpretation
  • Failure Diagnosis
  • Instrumentation
  • Sensor & Data Acquisition
  • Mechanical Testing
  • Technical Documentation
  • Data Analysis
  • Quality & Troubleshooting
Preferred Qualifications
  • 4+ years of hands-on experience in mechanical testing, laboratory, or production environments.
  • Associate degree or relevant trade/technical credential preferred.
  • Strong experience with instrumentation, sensors, data acquisition systems, and prototype testing.
  • Ability to document test procedures, results, and failure modes accurately.
  • Strong analytical and troubleshooting skills.
  • Comfortable working with CSVs, spreadsheets, PDFs, and technical datasets.
  • Ability to work independently in a remote environment.
Compensation & Availability

Compensation is output-based, with payment per approved task. Minimum weekly submission requirements apply.

Selected experts should be ready to begin their first tasks within 24–48 hours of completing onboarding. Roles are typically filled within 48 hours.

Screening Questions
  1. How many years of hands-on mechanical testing or technician experience do you have?
  2. What experience do you have with instrumentation, sensors, and data acquisition systems?
  3. Describe your experience with test setup and failure diagnosis.
  4. Have you worked with test logs, calibration records, sensor data, or failure reports?
  5. What technical documentation tools or formats do you regularly use?
  6. Are you comfortable creating detailed evaluation rubrics and diagnostic scenarios?
  7. How soon can you start?