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Remote Data Acquisition Engineer Jobs (NOW HIRING)

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

Automation of data acquisition from a variety of data sources * Development of complex SQL scripts ... Location of job: Hybrid, 2 days remote with 3 days (Tues, Wed & Fri) required to be onsite.

This is a full-time, fully remote position open to candidates located within the Continental United ... input data acquisition, programming techniques, and controls. May build add-on modules using ...

AI Data Engineer

$170K - $180K/yr

S (Remote) | Full-Time Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection. This is a remote Data Engineering role focused on building and ...

Remote-Data Engineer- Only W2

Atlanta, GA · Remote

$110K - $132K/yr

Data Engineer Location: Remote Role Focus: Pipeline Development + Support Key Skills / Responsibilities: Build and maintain ETL pipelines Support batch + CDC ingestion (including mainframe) Data ...

$109K - $132K/yr

Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon *** Job ... The role plays a key part in M&A data integration assisting with data mapping and transformation.

$109K - $132K/yr

Remote position. Candidates must be based in Mexico, preferably in Monterrey, Nuevo Leon *** Job ... The role plays a key part in M&A data integration assisting with data mapping and transformation.

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Remote Data Acquisition Engineer information

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$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:
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.
Data Engineer

$113K - $136K/yr

Contractor

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Allied Consultants, Inc is a proudly Austin based firm with over 34 years of experience delivering top-tier technical and business professionals within Texas State Agencies. We are currently seeking an experience Data Engineer to play a key role within a high-impact technical services team.

At Allied Consultants, we value our consultants and are committed to providing an exceptional experience including:

  • Highly competitive pay rates
  • Local support staff for responsive, personal service
  • Comprehensive benefits package, including:
    • Medical insurance (with employer cost sharing)
    • Life insurance
    • A 401(K) plan with company match
    • Flexible spending through a cafeteria plan

Candidates selected for interviews will be subject to a criminal background check and may be required to pass a drug screening, in compliance with federal and state regulations. All offers of employment are contingent upon successful completion of these checks.

Allied Consultants is a proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

Client IT is continuing to develop an HHS data integration hub in the Performance Management & Analytics System (PMAS) with a goal to accomplish the following:

  • Implementation and configuration of the infrastructure for the data integration hub
  • Design, development, and implementation (DD&I) of the data integration hub using an agile methodology for all standard SDLC phases that includes, but is not limited to: 
    • Validation of performance metric requirements
    • Creation of Epics/User Stories/Tasks
    • Automation of data acquisition from a variety of data sources
    • Development of complex SQL scripts 
    • Testing – integration, load and stress
    • Deployment / publication internally and externally
  • Operations support and enhancement of the data integration hub

This development effort will utilize an agile methodology based upon the approach currently in use at client for the Performance Management & Analytics System (PMAS).  

As a member of the agile development team, the worker responsibilities may include:

  • Data acquisition from a variety of data sources for multiple uses.
  • Developing complex SQL scripts to transform the source data to fit into a dimensional model, then to create views and materialized views in Oracle.
  • Developing automation with Informatica Power Center/IICS to pull data from external data sources and transform it to fit into a dimensional model.
  • Collaborating with other members of the Data Engineering Team on the design and implementation of an optimal data design.
  • Verification and validation of SQL scripts, Informatica automation and database views.
  • Developing automated means of performing verification and validation.
  • Participating in all sprint ceremonies
  • Work closely with the Architects and Data Engineering Team on implementation designs and data acquisition strategies.
  • Develop mockups and work with customers for validation
  • Working closely with other members of the team to address technical problems 
  • Assisting with the implementation and configuration of developmental tools
  • Producing and maintaining technical specifications, diagrams, or other documentation as needed to support the DD&I efforts 
  • Participation in requirements and design sessions 
  • Interpreting new and changing business requirements to determine the impact and proposing enhancements and changes to meet these new requirements 
  • All other duties as assigned.

**Location of job: Hybrid, 2 days remote with 3 days (Tues, Wed & Fri) required to be onsite. Candidates must be local to Austin, TX**


Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

8

Required

Experience developing mappings and workflows to automate ETL processes using Informatica Power Center or IICS.

8

Required

Experiencing acquiring and integrating data from multiple data sources/technologies using Informatica Power Center or IICS for use by a Tableau data visualization object. Data source techs should include Oracle, SQL Server, Excel, Access and Adobe PDF.

8

Required

Experience designing and developing complex Snowflake SQL scripts that are fast and efficient

8

Required

Strong analytical and problem-solving skills with experience as a system analyst for a data analytics, performance management system, or data warehousing project.

8

Required

Technical writing and diagraming skills, including proficiency with modeling and mapping tools (e.g., Visio, Erwin), and the Microsoft Office Suite (Word, Excel, and PowerPoint) and MS Project.

8

Required

Experience in planning and delivering software platforms used across multiple products and organizational units.

8

Required

Proven ability to write well designed, testable, efficient code by using best software development practices

6

Preferred

Excellent oral and written communication skills.

6

Preferred

Effectively manage multiple responsibilities, prioritize conflicting assignments, and switch quickly between assignments, as required.

4

Preferred

Experience on an agile sprint team

4

Preferred

Understanding of security principles and how they apply to healthcare data

4

Preferred

Experience with state of the art software components for a performance metrics data visualization or business intelligence environment

4

Preferred

Bachelor’s degree in Computer Science, Information Systems, or Business or equivalent experience.

4

Preferred

Prior experience in the Healthcare Industry

4

Preferred

Prior experience with an HHS agency

4

Preferred

Prior experience working with PII or PHI data

4

Preferred

Experience designing and developing scripts using Python

4

Preferred

Experience with JIRA software

2

Preferred

Functional knowledge or hands on design experience with Web Services (REST, SOAP, etc.)

2

Preferred

Experience designing and developing code using Java and JavaScript

2

Preferred

Experience developing CI/CD pipelines with GitHub and Git Actions

2

Preferred

Experience as a MuleSoft developer

2

Preferred

Experience developing using AI tools such as Snowflake Cortex and Intelligence, and/or Informatica Claire