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Data Acquisition Engineer Jobs (NOW HIRING)

MedPro Systems

Data Acquisition Engineer I

Mount Arlington, NJ · On-site

$108K - $130K/yr

POSITION SUMMARY The Data Acquisition Engineer I is an entry-level engineering role responsible for supporting the reliable retrieval of raw data from external sources such as APIs, file transfers ...

SLB

Well Testing Data Acquisition Engineer

Houma, LA · On-site

$110K - $132K/yr

The Technical Data Acquisition Engineer located in Houma, Louisiana is responsible for installing, configuring, and operating data acquisition systems to monitor and record operational parameters in ...

Civitech

Data Acquisition Specialist

Austin, TX · Remote

Experience partnering with software engineers and technical staff to build simple tools About our Data Acquisition Team: The Data Acquisition team is focused on building processes to extract ...

Aaru

Data Acquisition Specialist

New York, NY · On-site

$200K - $350K/yr

ABOUT THE ROLE As a Data Acquisitions Specialist, you will help build Aaru's external data ... You will work closely with research, engineering, and leadership to shape the data assets that ...

Civitech Inc

Data Acquisition Specialist

Experience partnering with software engineers and technical staff to build simple tools About our Data Acquisition Team: The Data Acquisition team is focused on building processes to extract ...

Aaru

Data Acquisition Specialist

Manhattan, NY · On-site

ABOUT THE ROLE As a Data Acquisitions Specialist, you will help build Aaru's external data ... You will work closely with research, engineering, and leadership to shape the data assets that ...

Civitech

Data Acquisition Specialist

Austin, TX · On-site +1

Experience partnering with software engineers and technical staff to build simple tools About our Data Acquisition Team: The Data Acquisition team is focused on building processes to extract ...

RIT Solutions

Data Acquisition Specialist

Glendale, CA · On-site

Clinical Data Acquisition Specialist Serve as the subject matter expert for the planning, set-up ... Data Engineering, Standards and other Study Execution Team members. Participate in preparing ...

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How much do data acquisition engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data acquisition engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Acquisition Engineer?

A Data Acquisition Engineer is typically responsible for designing, developing, and maintaining data acquisition systems that capture and process data from various sensors and equipment. On a daily basis, you might configure hardware and software interfaces, write scripts or programs to automate data collection, and validate data integrity. You’ll often collaborate closely with other engineers, researchers, and stakeholders to define data requirements and support testing activities. Regular troubleshooting and performance optimization of data acquisition setups are also key aspects of the role.

What is a Data Acquisition Engineer job?

A Data Acquisition Engineer is responsible for designing, implementing, and maintaining systems that collect and process data from various sources. They work with sensors, instrumentation, and software to ensure accurate and reliable data collection for analysis and decision-making. These engineers often develop custom hardware and software solutions to integrate different data acquisition methods. Their role is critical in industries such as manufacturing, automotive testing, aerospace, and research, where precise data is needed for optimization and innovation.

What are the key skills and qualifications needed to thrive in the Data Acquisition Engineer position, and why are they important?

To excel as a Data Acquisition Engineer, you need a solid background in engineering or computer science, experience with data collection protocols, and proficiency in programming languages such as Python, LabVIEW, or MATLAB. Familiarity with data acquisition hardware (e.g., NI DAQ, PLCs), relevant software platforms, and certifications like NI Certified LabVIEW Developer can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills are valuable in collaborating with cross-functional teams and troubleshooting complex systems. These skills are crucial to ensure reliable, accurate data collection processes and successful integration within project goals.

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Data Acquisition Engineer jobs near you
Data Acquisition Engineer I

Data Acquisition Engineer I

MedPro Systems

Mount Arlington, NJ • On-site

$108K - $130K/yr

Full-time

Posted 22 days ago

Job description

Description:

POSITION SUMMARY


The Data Acquisition Engineer I is an entry-level engineering role responsible for supporting the reliable retrieval of raw data from external sources such as APIs, file transfers, partner systems, and web endpoints. This role focuses exclusively on executing and monitoring data acquisition jobs under guidance, learning source access patterns, and escalating failures appropriately. The Data Acquisition Engineer I plays a foundational role in the company’s data pipeline by ensuring external data is successfully acquired and delivered to downstream teams according to defined handoff expectations. This role reports to the Engineering Success & Growth Manager (ESGM) and is based in Mount Arlington, New Jersey.


ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Execute and monitor scheduled data acquisition jobs for APIs, file-based transfers, and web sources.
  • Assist in maintaining data acquisition scripts using established patterns and tooling.
  • Verify successful job execution and raw data delivery according to defined handoff expectations.
  • Escalate acquisition failures related to access, authentication, or source availability.
  • Document acquisition logic, source metadata, and delivery behavior.
  • Support onboarding new external data sources under guidance from senior engineers.
  • Follow data access, licensing, and compliance guidelines when sourcing external data.
  • Use AI-assisted tools responsibly to support data sourcing, collection validation, and documentation in alignment with security and data governance standards.
Requirements:

EDUCATION/CERTIFICATION

  • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.

JOB QUALIFICATIONS

  • Basic proficiency in scripting languages such as Python.
  • Familiarity with APIs, file transfers (e.g., SFTP), and structured data formats (CSV, JSON, XML).
  • Strong attention to detail and willingness to learn data acquisition practices.
  • Openness to responsibly leveraging AI-assisted tools to improve productivity and data accuracy.

YEARS’ EXPERIENCE

  • 0–2 years of experience in software engineering, automation, or data-related roles.

TECHNOLOGY/SOFTWARE KNOWLEDGE

  • Scripting languages such as Python
  • APIs
  • File transfers (e.g., SFTP)
  • Structured data formats (CSV, JSON, XML).

REQUIRED TRAVEL

  • Up to 10%

PHYSICAL REQUIREMENTS

  • Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.
  • The individual is required to have close visual acuity to perform an activity such as preparing and analyzing data and figures; transcribing; viewing a computer screen and extensive reading. The individual in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. The individual must be able to remain in a stationary position 70% of the time.

DISCLAIMERS

This job description is not intended to be all-inclusive. The employee may perform other related duties as needed for growth and development or to meet the ongoing needs of the organization.

MedPro Systems LLC is an equal opportunity employer and does not unlawfully discriminate against current or prospective employees on the basis of race, color, religion, sex, age, national origin, pregnancy, familial status, marital status, sexual orientation, gender identity, disability, veteran status, citizenship, ancestry, genetic information, or any other characteristics prohibited by law.

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