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Entry Level Data Acquisition Engineer Jobs (NOW HIRING)

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Entry Level Data Engineer

Dallas, TX · On-site

$50K - $60K/yr

Now hiring for our Data Engineer cohort starting in July 2026. To apply, please submit a formal application through our website: ​​​​​ What We Require * Willingness to relocate anywhere in ...

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Entry Level Data Acquisition Engineer information

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$30K

$69.4K

$118K

How much do entry level data acquisition engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for entry level data acquisition engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What does an Entry Level Data Acquisition Engineer do?

An Entry Level Data Acquisition Engineer is responsible for setting up, monitoring, and maintaining systems that collect and process data from various sources, such as sensors or equipment. They assist in configuring hardware and software, ensuring accurate data collection, and troubleshooting any technical issues. These engineers often work under supervision and are involved in tasks like data validation, report generation, and supporting senior engineers in larger projects. Their work is essential for ensuring high-quality data is available for analysis and decision-making.

What are the key skills and qualifications needed to thrive as an Entry Level Data Acquisition Engineer, and why are they important?

To thrive as an Entry Level Data Acquisition Engineer, you need a solid background in electrical or computer engineering, data analysis, and basic programming, typically supported by a relevant bachelor's degree. Familiarity with data acquisition systems such as LabVIEW, MATLAB, or Python, as well as experience with sensors and data loggers, is commonly required. Strong problem-solving, attention to detail, and effective communication skills help you excel in collaborating with teams and troubleshooting systems. These skills are crucial for accurately capturing and interpreting data, ensuring system reliability, and supporting engineering project goals.

What are some common challenges faced by entry level data acquisition engineers when working on cross-functional teams?

Entry level data acquisition engineers often face challenges in bridging the gap between technical requirements and the needs of other departments, such as software, hardware, or product teams. Communication can be a hurdle, as you may need to explain complex data processes to colleagues with varying levels of technical understanding. Additionally, managing multiple priorities and adapting to fast-changing project scopes are frequent aspects of the role. However, these challenges also present valuable opportunities to develop problem-solving abilities and collaborative skills early in your career.

What is the difference between Entry Level Data Acquisition Engineer vs Data Analyst?

AspectEntry Level Data Acquisition EngineerData Analyst
Required CredentialsBachelor's in Engineering, Computer Science, or related field; basic knowledge of data collection toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis software
Work EnvironmentFieldwork, lab settings, or technical environments involving data collection hardwareOffice-based, using software to analyze and interpret data
Employer & Industry UsageTech companies, manufacturing, research labs focusing on data gatheringBusiness, finance, healthcare, marketing sectors analyzing data for insights

While both roles involve working with data, Entry Level Data Acquisition Engineers focus on collecting and managing raw data through hardware and technical tools, often in field or lab settings. Data Analysts interpret and visualize data to support decision-making in office environments. Understanding these differences helps job seekers target the right roles based on their skills and interests.

More about Entry Level Data Acquisition Engineer jobs
What cities are hiring for Entry Level Data Acquisition Engineer jobs? Cities with the most Entry Level Data Acquisition Engineer job openings:
What are the most commonly searched types of Data Acquisition Engineer jobs? The most popular types of Data Acquisition Engineer jobs are:
Infographic showing various Entry Level Data Acquisition Engineer job openings in the United States as of May 2026, with employment types broken down into 2% Locum Tenens, 3% As Needed, 91% Full Time, 1% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
Data Acquisition ETL Engineer (TS/SCI)

Data Acquisition ETL Engineer (TS/SCI)

Beyond SOF

Reston, VA

Other

Posted 2 days ago


Job description

Data Acquisition ETL Engineer (TS/SCI)Reston, VA, USA
Full-time
Clearance: Top Secret/SCI

Job Description

Serve as a data acquisition engineer performing Extract Transform Load (ETL) requiring an individual who is hard-charging, self-starting, and a problem solver; able to work through complex problems with great attention to detail. The individual will be part of a team created to develop workflows to acquire data, analyze, manage, maintain, and evaluate state-of-the-art extraction, transforming, and loading (ETL) capabilities to maintain a timely data corpus. Determine data ingest quality issues and propose recommendations for their elimination. Assist with the formulation of data ingest processes. Provide subject matter support to provision information technology and ETL.

Serve as a data acquisition engineer performing Extract Transform Load (ETL) and work through complex problems with great attention to detail. Perform as a part of a team created to develop workflows to acquire data, analyze, manage, maintain, and evaluate state-of-the-art extraction, transforming, and loading capabilities to maintain a timely data corpus. Determine data ingest quality issues and propose recommendations for their elimination. Assist with the formulation of data ingest processes. Provide subject matter support to provision IT and ETL.

Qualifications

  • 2+ years of experience with Java
  • 1+ years of experience with a streaming data framework, including Apache Kafka
  • 1+ years of experience with web-based architecture, including HTML and JavaScript
  • 1+ years of experience with ETL development and processes from diverse data sources
  • 1+ years of experience with the development, maintenance, and enhancement of data mappings, work-flows, and processes
  • 1+ years of experience in working with Relational Databases
  • Experience with a variety of data feed types, including RSS, SOAP, and REST
  • Experience with data modeling concepts
  • TS/SCI clearance required
  • HS diploma or GED

Additional Qualifications:

  • Experience with XML, and TXT transformations, including writing and applying XSLT to transform data
  • Experience with any of the following technologies: Apache Kafka, NiFi, Airflow, PostgreSQL, Pentaho Data Integration, Accumulo, Solr, Elastic Stack, Firefox, Chromium, or Kubernetes
  • Experience with DoD or IC clients
  • Experience as a database administrator
  • Experience with web scraping, including Document Object Model (DOM) exploration
  • Knowledge of the Agile software development process, including Scrum and Kanban
  • Ability to map and document needed data elements in multiple databases to aggregate them under one schema
  • BA or BS degree preferred
  • Database Administration, ETL, or Business Intelligence-related Certifications preferred
  • ComptTIA Security+