ZipRecruiter

Log In

2

Remote Data Acquisition Engineer Jobs (NOW HIRING)

Civitech

Data Acquisition Specialist

Austin, TX · Remote

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Experience partnering with software engineers and technical staff to build simple tools About our ...

Civitech

Data Acquisition Specialist

Austin, TX · On-site +1

$65K - $85K/yr

Civitech is a remote-first company hiring within our current footprint of 27 states (AL, AK, CA, CO ... Experience working with political data * Experience partnering with software engineers and ...

Jj

Senior Data Acquisition Expert

Raritan, NJ · On-site +1

... Senior Data Acquisition Expert to be located in Spring House, PA; Horsham, PA; Raritan, NJ; or ... Remote work options may be considered on a case-by-case basis and if approved by the Company. About ...

Jj

Senior Data Acquisition Expert

Spring House, PA · On-site +1

... Senior Data Acquisition Expert to be located in Spring House, PA; Horsham, PA; Raritan, NJ; or ... Remote work options may be considered on a case-by-case basis and if approved by the Company. About ...

next page

Showing results 1-20

People also search for

All JobsRemote Data Acquisition Engineer Jobs

Remote Data Acquisition Engineer information

See salary details

$46K

$165K

$243.5K

How much do remote data acquisition engineer jobs pay per year?

As of Jun 6, 2026, the average yearly pay for remote 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 is a Remote Data Acquisition Engineer?

A Remote Data Acquisition Engineer is a professional who designs, implements, and manages systems that collect and transmit data from various remote locations. They work with hardware and software solutions to ensure accurate and efficient data gathering, often for industries like energy, environmental monitoring, and manufacturing. These engineers troubleshoot connectivity issues, ensure data integrity, and may also analyze the collected data. The role typically involves working with sensors, data loggers, communication networks, and sometimes cloud platforms. Remote Data Acquisition Engineers play a critical role in enabling real-time decision-making and automation for organizations.

What are the key skills and qualifications needed to thrive as a Remote Data Acquisition Engineer, and why are they important?

To thrive as a Remote Data Acquisition Engineer, you need a strong background in data collection methodologies, signal processing, and relevant engineering fields such as electrical or computer engineering, often supported by a bachelor's degree. Proficiency with data acquisition systems (DAQ), programming languages like Python or LabVIEW, and familiarity with remote monitoring hardware and networking protocols is typically required. Attention to detail, problem-solving abilities, and effective remote communication are crucial soft skills for this role. These skills enable efficient and accurate data gathering, troubleshooting, and collaboration across distributed teams, ensuring project success.

What is the difference between Remote Data Acquisition Engineer vs Data Analyst?

AspectRemote Data Acquisition EngineerData Analyst
Required CredentialsBachelor's in Engineering, Computer Science, or related field; technical certificationsBachelor's in Statistics, Mathematics, or related field; data analysis certifications
Work EnvironmentFieldwork, remote data collection, technical setupOffice or remote, data interpretation and reporting
Employer & Industry UsageTech, manufacturing, research firmsBusiness, finance, marketing, healthcare
Search & Comparison IntentTechnical data collection rolesData interpretation and reporting roles

The Remote Data Acquisition Engineer focuses on collecting raw data through technical methods, often involving fieldwork and specialized equipment. In contrast, Data Analysts interpret, analyze, and visualize data to support decision-making. While both roles require strong analytical skills, the engineer emphasizes data collection techniques, whereas the analyst emphasizes data interpretation.

What are some common challenges faced by a Remote Data Acquisition Engineer when collaborating with distributed teams?

Remote Data Acquisition Engineers often work with cross-functional teams spread across different locations and time zones. One common challenge is ensuring seamless communication when troubleshooting data collection issues or deploying new acquisition systems. Engineers must be proactive in documenting processes and using collaborative tools to keep all stakeholders informed. Regular virtual meetings and clear documentation help bridge gaps, but remote work also requires strong self-management skills to handle tasks independently while staying aligned with the team’s goals.
More about Remote Data Acquisition Engineer jobs
What cities are hiring for Remote Data Acquisition Engineer jobs? Cities with the most Remote 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 states have the most Remote Data Acquisition Engineer jobs? States with the most job openings for Remote Data Acquisition Engineer jobs include:
What job categories do people searching Remote Data Acquisition Engineer jobs look for? The top searched job categories for Remote Data Acquisition Engineer jobs are:
Remote Data Acquisition Engineer jobs near you
Infographic showing various Remote Data Acquisition Engineer job openings in the United States as of May 2026, with employment types broken down into 67% Full Time, 11% Part Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Member of Engineering (Pre-training / Data Acquisition)

poolside

Remote

$117K - $140K/yr

Full-time

Medical, PTO

Posted 18 days ago

Job description

ABOUT POOLSIDE
In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers.
Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises.
ABOUT OUR TEAM
We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year.
Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We're in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we've assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development.
ABOUT THE ROLE
You'll be working alongside our pre-training data team, focused on one of the most foundational challenges in training frontier LLMs: acquiring the best possible pre-training data.
The data we collect is upstream of everything. It directly shapes the capability of the models we train. As our first dedicated data acquisition engineer, you will spearhead and evolve systems that crawl the web at massive scale, rapidly ingest data from strategic partnerships, and build specialized tooling to maximize recall from high-value sources. You'll collaborate closely with pre-training data researchers and engineers to ensure that our sourcing of data maps to our training needs, to ensure we have the most capable pre-trained models.
YOUR MISSION
To deliver the highest-quality, diverse, and most comprehensive data corpus to fuel the pre-training of frontier models for software development.
RESPONSIBILITIES
  • Design, build, and operate a large-scale web crawler responsible for acquiring all openly accessible data on the internet
  • Develop specialized deep crawlers targeting high-value sources to improve recall and coverage
  • In collaboration with data researchers, own a long-term road map for data acquisition
  • Build observability, monitoring, and debugging tooling to ensure reliability and transparency across crawl infrastructure
  • Collaborate with pre-training, post-training, and evaluations teams to align data acquisition priorities with model training needs
  • Build high-throughput ingestion pipelines for rapidly onboarding partner data and evaluating it for quality

SKILLS & EXPERIENCE
  • Strong distributed systems background with proven experience building and operating large-scale infrastructure - data pipelines, web crawlers, or similar
  • Proficiency in Python, and comfortable optimizing performance and debugging complex systems under production conditions
  • Hands-on experience with web crawling or large-scale data extraction: understanding of HTTP protocols, distributed job queues, and data parsing at scale
  • Familiarity with cloud platforms (AWS) and container orchestration (Kubernetes, Docker) for deploying and managing high-throughput workloads
  • Awareness of the non-technical dimensions of internet-scale crawling: data privacy and responsible crawl practices
  • Nice to have:
    • Prior experience pre-training LLMs
    • Experience in building trillion-scale SOTA pre-training datasets
    • Experience translating research to production at scale

PROCESS
  • Intro call with one of our Founding Engineers
  • Technical Interview(s) with one of our Members of Engineering
  • Team fit call with the People team
  • Final interview with one of our Founding Engineers

BENEFITS
  • Fully remote work & flexible hours
  • 37 days/year of vacation & holidays
  • 16 weeks of flexible, full-pay parental leave
  • Health insurance allowance for you & dependents
  • Company-provided equipment
  • Well-being, always-be-learning & home office allowances
  • Frequent team get togethers
  • Diverse & inclusive people-first culture

Apply