1

Data Acquisition Engineer Jobs in Reston, VA (NOW HIRING)

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

... acquisition, data prep, and database architecture * Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

... acquisition, data prep, and database architecture * Experience with data engineering projects supporting data science, AI/ML implementations, and Business Intelligence dashboards * Experience with ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means ... You Have: * 3+ years of experience with data pipelines, including data acquisition, data prep, and ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... You Have: * 3+ years of experience with data pipelines, including data acquisition, data prep, and ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... You Have: * 3+ years of experience with data pipelines, including data acquisition, data prep, and ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

R0239070 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... You Have: * 3+ years of experience with data pipelines, including data acquisition, data prep, and ...

next page

Showing results 1-20

Data Acquisition Engineer information

See Reston, VA salary details

$47.9K

$171.7K

$253.3K

How much do data acquisition engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data acquisition engineer in Reston, VA is $171,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,900.00 and $176,900.00 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.

What are popular job titles related to Data Acquisition Engineer jobs in Reston, VA? For Data Acquisition Engineer jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Acquisition Engineer jobs in Reston, VA look for? The top searched job categories for Data Acquisition Engineer jobs in Reston, VA are:
Infographic showing various Data Acquisition Engineer job openings in Reston, VA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $171,677 per year, or $82.5 per hour.

Senior Data science Engineer - Remote

RapidSoft Corp

Reston, VA • Remote

$110K - $149K/yr

Contractor

Re-posted 3 days ago


Job description

Company Description

RapidSoft established in 2003, with a mission of providing clients with experiened and talented resources in timely manner. We specialize in in Independent Verification and Validation, Test Automation and DevOps, Static Code Analysis.

Our Staffing division handles, niche staffing needs for  companies of all sizes by providing technically prescreened resources thus reducing the hiring life cycle. Less  Clutter of Resumes More Hires for clients.

Job Description

Duties and Responsibilities: Develop data solutions in collaboration with other team members and software engineering teams that meet and anticipate business goals and strategies Work with senior data science engineers in analyzing and understanding all aspects of data, including source, design, insight, technology and modeling Develop and manage scalable data processing platforms for both exploratory and real-time analytics Oversee and develop algorithms for quick data acquisition, analysis and evolution of the data model to improve search and recommendation engines. Document and demonstrate solutions Design system specifications and provide standards and best practices Support and mentor junior data engineers by providing advice and coaching Make informed decisions quickly and taking ownership of services and applications at scale Be a persistent, creative problem solver, constantly striving to improve and iterate on both processes and technical solutions Remain cool and effective in a crisis Understand business needs and know how to create the tools to manage them Take initiative, own the problem and own the solution Other duties as assigned  Supervisory Responsibilities: None  Minimum Qualifications: Bachelor's Degree in Data Engineering, Computer Science, Information Technology, or a related discipline (or equivalent experience) 8+ years experience in data engineering development 5+ years experience working in object oriented programming languages such as Python or Java Experience working in an Agile environment

Additional Information

All your information will be kept confidential according to EEO guidelines.