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Remote Data Acquisition Engineer Jobs in Coventry, CT

The Hartford

Lead Staff AI Data Engineer

Hartford, CT · On-site +1

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations ...

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Dir Data Engineering - GE06AE We're determined to make a difference and are proud to be an ... Hybrid / Or Remote This role can have a Hybrid or Remote work schedule. Candidates who live near ...

Milliman

Strategic Data Partnership Manager

Windsor, CT · Remote

This position is fully remote, while occasional travel may be required. Primary Responsibilities ... You'll work closely with product, engineering, legal, sales and other market-facing teams. * Grow ...

Finalsite

Staff Engineer, Composer Platform

Glastonbury, CT · On-site +1

$180K - $250K/yr

LOCATION 100% Remote - Anywhere within the US RESPONSIBILITIES * Define and lead technical strategy ... Experience working within complex or multi-acquisition codebases * Familiarity with Cloudflare ...

The Hartford

Principal AI Engineer

Hartford, CT · On-site +1

This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office ... Experience with data engineering, ETL technology, and conversation UX is a plus. * Experience with ...

FHR

MO416- Power Platform developer 64265

Hartford, CT · Remote

100% Remote. Our direct client has an opening for a Power Platform developer 64265 This position is ... Create data models, user interfaces, workflows, and reports * The candidate will collaborate with ...

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Remote Data Acquisition Engineer information

See Coventry, CT salary details

$45.9K

$164.8K

$243.2K

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

As of Aug 27, 2026, the average yearly pay for remote data acquisition engineer in Coventry, CT is $164,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,300.00 and $169,800.00 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?

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 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.

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.

Remote Data Acquisition Engineer jobs near you

Manager, Data Architect (Remote)

Raytheon Technologies

Farmington, CT • On-site, Remote

$67.50 - $87/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Raytheon rating

9.1

Company rating: 9.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

1st of 544 rated manufacturers

Job description

Date Posted:
2026-08-20
Country:
United States of America
Location:
US-CT-FARMINGTON-0004 ~ 4 Farm Springs Rd ~ 4 FARM SPRINGS
Position Role Type:
Remote
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.
RTX is seeking a skilled and experienced Manager, Workforce Intelligence (Data Architect) to join our team.
What You Will Do:
  • Design and maintain scalable HR data architecture in Snowflake, including databases, schemas, data models and semantic views.
  • Build and optimize ETL/ELT pipelines using Matillion and Snowflake to support reporting, analytics and operational needs.
  • Define and enforce data governance, data quality, consistency, lineage, naming standards and compliance with regulatory requirements for HR data.
  • Develop and maintain data controls to ensure the integrity and reliability of data across systems and workflows.
  • Implement and manage security policies for user views and semantic layers, including role-based access and data protection.
  • Manage SQL Server environments used for metadata management, including performance tuning and reliability.
  • Establish DevOps practices (version control, deployment automation, environment promotion) for schemas, pipelines and data models.
  • Partner with Product and Delivery, BU Consultants and BI development teams to translate requirements into scalable, governed data solutions.
  • Provide consultation and guidance on data architecture, integration and analytics capabilities.
  • Create and maintain comprehensive documentation for data architecture designs, processes, governance policies, and integrations.
  • Support AI-ready and agentic use cases by organizing trusted semantics, metadata and reusable data products.

Qualifications You Must Have:
  • Typically requires: A University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
  • 7+ years of experience in data architecture or data engineering.
  • Strong hands-on experience with Snowflake (design, modeling, performance) and cloud data services.
  • Experience building API Integration, ETL/ELT pipelines.
  • Strong SQL Server skills (design, indexing, performance tuning).
  • Proven experience with data governance, metadata management and data security.
  • Experience with version control (e.g., Git) and automated deployment for data assets.
  • Strong communication and stakeholder collaboration skills.

Qualifications We Prefer
  • Excellent communication and coordination skills to work effectively with technical and non-technical stakeholders.
  • Certification in Snowflake or relevant cloud data services.
  • Scripting skills (e.g., Python, Shell) for automation.
  • Familiarity with API integrations and microservices architecture.
  • Knowledge of cloud platforms (Preferably Azure).
  • Experience with HR systems such as Workday

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:
Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.
The salary range for this role is 107,500 USD - 204,500 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.
Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.
Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.
This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.
RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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