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Entry Level Data Acquisition Engineer Jobs (NOW HIRING)

SpaceXAI

Software Engineer - Data

Palo Alto, CA

$150K - $250K/yr

This includes partnering closely with acquisition teams to identify where valuable data can be ... As a Software Engineer on SpaceXAI's Data team, you will be responsible for developing applications ...

SpaceXAI

Software Engineer - Data

Palo Alto, CA · On-site

$150K - $250K/yr

This includes partnering closely with acquisition teams to identify where valuable data can be ... As a Software Engineer on SpaceXAI's Data team, you will be responsible for developing applications ...

Ruri Software Technologies LLC

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

... acquisition. • They would also collaborate with data scientists and architects on several projects. • They must have previous experience as a data engineer and should be an expert in both Python ...

DeFiner Inc

* Work closely with engineering and marketing teams to identify and answer important product ... Collaborate closely with data analysts, data engineers, and business and project stakeholders to ...

SynergisticIT

Entry Level Data Scientiest

Manchester, NH · On-site

$16.50 - $22.25/hr

Identify valuable data sources and automate collection processes Undertake preprocessing of ... Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information ...

TRC Inc

Instrumentation Engineer

East Liberty, OH · On-site

Purpose The Instrumentation Engineer - Data Acquisition is responsible for developing and implementing data acquisition and instrumentation approaches for instrumented vehicles used in vehicle safety ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

... acquisition  Develop analytical tools and programs  Collaborate with data scientists and ... of programming languages (R, Python)  Bachelor's Degree in Computer Science, IT, or similar ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

... acquisition  Develop analytical tools and programs  Collaborate with data scientists and ... of programming languages (R, Python)  Bachelor's Degree in Computer Science, IT, or similar ...

Qode

Data Engineer

Florham Park, NJ · On-site

$119K - $143K/yr

... acquisition • Develop analytical tools and programs • Collaborate with data scientists and ... of programming languages (R, Python) • Bachelor's Degree in Computer Science, IT, or similar ...

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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 Jul 20, 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 July 2026, with employment types broken down into 89% Full Time, and 11% Nights. Highlights an 100% In-person job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Software Engineer - Data

SpaceXAI

Palo Alto, CA

$150K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago

Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

At SpaceXAI, we are building AI systems that push the frontier of human knowledge and scientific discovery. High-quality data is fundamental to every stage of that mission. Our Data team is responsible for ensuring that the models are trained on the right data, in the right form, at the right quality, across every phase of the training lifecycle. This includes partnering closely with acquisition teams to identify where valuable data can be sourced, determining what data is needed to improve model performance, and building the production pipelines and systems that transform raw inputs into high-quality training data at scale. We work at the intersection of software, data, infrastructure, and machine learning to ensure our models train effectively and reliably.

As a Software Engineer on SpaceXAI's Data team, you will be responsible for developing applications that power data acquisition, preparation, training, quality evaluation, and delivery for model training. You will provide the ability to run training in a reliable, scalable and repeatable manner. You will also provide visibility on training status and data lineage. You will work closely with acquisition teams, ML engineers, and data engineers to build a reliable data pipeline to run training at scale. The ideal candidate combines strong software engineering fundamentals and excellent coding practices.

RESPONSIBILITIES:
  • Develop a highly reliable and scalable enterprise data platform to orchestrate data acquisition, preparation, training, quality evaluation, and delivery for model training
  • Create new features such as data lineage, visibility, and monitoring for end-to-end training that improve the quality of the data and model performance
  • Collaborate with peers on architecture, design, and code reviews
  • Build prototypes to prove out key design concepts and quantify technical constraints
  • Own all aspects of software engineering and product development
  • Deep dive into business problems, find efficient solutions and apply first principles thinking
BASIC QUALIFICATIONS:
  • Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree
  • 1+ years of experience in application development, software engineering, data engineering, or data science
PREFERRED SKILLS AND EXPERIENCE:
  • Programming experience in Python, Rust, Java, C#, Scala, Go or similar languages
  • Frontend experience in Angular, React, or similar JavaScript frameworks
  • Hands-on experience with Kubernetes and containerized deployments
  • Experience with Ray, AI training and orchestration
  • Experience with relational and non-relational databases, data lakes e.g. PostgreSQL, Iceberg, Clickhouse, or similar
  • Experience with data exploration tools like Grafana, Superset, or similar
  • Good understanding of version control, testing, continuous integration, build, deployment and monitoring
  • Good understanding of statistics, machine learning algorithms and frameworks
COMPENSATION AND BENEFITS:

$150,000 - $250,000 USD

Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.