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Entry Level Data Acquisition Engineer Jobs (NOW HIRING)

SynergisticIT

Junior Data/BI Analyst

Carson City, NV · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for ...

Vaco by Highspring

Data Engineer

Nashville, TN · On-site

$58/hr

Data Engineer Location: Brentwood, TN (Hybrid) Position Type: 12-Month Contract Schedule ... Perform data acquisition, cleansing, parsing, transformation, validation, and reconciliation

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Entry Level Data Acquisition Engineer information

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

As of Aug 10, 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:
What job categories do people searching Entry Level Data Acquisition Engineer jobs look for? The top searched job categories for Entry Level Data Acquisition Engineer jobs are:
Entry Level Data Acquisition Engineer jobs near you
Infographic showing various Entry Level Data Acquisition Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Entry-Level Data Engineer / Data Scientist with Security Clearance

The Prospective Group

Washington, DC • On-site

$90K - $110K/yr

Other

Posted 4 days ago

Job description

Clearance required: Secret The Prospective Group (TPG) is seeking a motivated, recent graduate to join our team as an Entry-Level Data Engineer / Data Scientist. This role is ideal for someone with a strong foundation in data analytics, statistical modeling, and programming who is eager to apply academic and project experience to real-world business problems. The candidate will support data pipeline development, statistical analysis, and visualization efforts across the organization. Key Responsibilities: * Assist in building, cleaning, and maintaining large-scale datasets for analysis * Develop and support data pipelines and automated reporting processes * Conduct statistical and quantitative analysis to support business decision-making * Build dashboards and visualizations to communicate findings to stakeholders * Collaborate with cross-functional teams on analytics and reporting projects * Support ad hoc data requests and contribute to process improvement initiatives Minimum Requirements: * Bachelor's degree in Data Analytics, Computer Science, or related field * Proficiency in SQL and at least one programming language (Python, Java, or R) * Experience with Excel and data visualization tools * Familiarity with version control systems (GitHub/GitLab) * Strong analytical, problem-solving, and communication skills * Ability to work both independently and collaboratively in a team environment Preferred Qualifications: * Experience with statistical/regression modeling or predictive analytics * Exposure to PCA, KPI development, or dashboard design * Coursework or project experience in data structures, algorithms, or big data analytics * Familiarity with Jupyter Notebook or RStudio Position Pay Range: $90,000 - $110,000 USD The Prospective Group (TPG) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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