2

Remote Telemetry Jobs in Massachusetts (NOW HIRING)

Showing results 21-28

Remote Telemetry information

See Massachusetts salary details

$1.3K

$2.5K

$3.5K

How much do remote telemetry jobs pay per week?

As of Sep 14, 2026, the average weekly pay for remote telemetry in Massachusetts is $2,534.77, according to ZipRecruiter salary data. Most workers in this role earn between $2,121.15 and $2,898.08 per week, depending on experience, location, and employer.

What is remote telemetry?

A Remote Telemetry job involves monitoring and analyzing data from remote sensors, equipment, or systems to ensure proper operation and performance. This role is common in industries like healthcare, energy, manufacturing, and aerospace, where real-time data collection is critical. Responsibilities may include configuring telemetry systems, troubleshooting connectivity issues, and interpreting data trends to prevent failures. Many positions require expertise in network communications, data analysis, and industry-specific software. Remote telemetry professionals help optimize performance, reduce downtime, and improve operational efficiency.

What are the key skills and qualifications needed to thrive in remote telemetry?

To thrive in Remote Telemetry, you need a solid understanding of telemetry systems, data analysis, and remote monitoring, often requiring a background in engineering, IT, or healthcare. Familiarity with telemetry software, remote monitoring tools, networking protocols, and sometimes certifications like CompTIA Network+ or relevant healthcare credentials is beneficial. Strong attention to detail, problem-solving abilities, and effective communication stand out as vital soft skills for this position. These skills ensure accurate data interpretation, rapid troubleshooting, and effective collaboration within distributed teams to maintain operational integrity.

What are some typical challenges faced by professionals working in remote telemetry roles?

Professionals in remote telemetry roles often encounter challenges such as managing and interpreting large volumes of real-time data from dispersed locations, ensuring the reliability of monitoring systems, and troubleshooting technical issues without on-site access. Additionally, they must coordinate effectively with multiple teams, sometimes across different time zones, to resolve anomalies or respond to alerts quickly. Adapting to evolving technologies and maintaining security in data transmissions are also common aspects of the role. To thrive, strong organization, proactive communication, and a continuous learning mindset are essential for success in this dynamic environment.

What cities in Massachusetts are hiring for Remote Telemetry jobs?

Cities in Massachusetts with the most Remote Telemetry job openings:

Infographic showing various Remote Telemetry job openings in Massachusetts as of August 2026, with employment types broken down into 4% As Needed, 82% Full Time, 9% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $131,808 per year, or $63.4 per hour.

Senior Software Engineer, AI-Native Platform (Remote)

Boston, MA • Remote

ezCater, Inc
501 - 1,000 employees

$158K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 2 days ago


Key responsibilities

  • Build shared services, APIs, and workflows that support administrative experiences, integrations, and core platform capabilities

  • Design reliable backend systems for cross-domain business flows and operationally critical use cases

  • Apply AI effectively throughout the software lifecycle, including implementation planning, coding, review, testing, and quality improvement


Job description

ezCater is hiring senior software engineers to build shared platform capabilities across administration, integrations, and transaction-heavy product experiences. This role is centered on backend services, APIs, workflow orchestration, and reliable distributed systems.

We are looking for engineers who are fluent in an AI-native SDLC. That means more than familiarity with tools like Claude, Codex, or Cursor. The right engineer knows how to use AI effectively across planning, implementation, review, testing, and iteration, and understands how to improve the surrounding workflows, skills, and engineering standards. Go experience is strongly preferred. Deep experience in a similar backend language is also valuable.

What You'll Do
  • Build shared services, APIs, and workflows that support administrative experiences, integrations, and core platform capabilities
  • Design reliable backend systems for cross-domain business flows and operationally critical use cases
  • Apply AI effectively throughout the software lifecycle, including implementation planning, coding, review, testing, and quality improvement
  • Contribute reusable engineering skills, patterns, and guidance that improve how teams work with AI
  • Partner with product, design, and engineering peers to turn ambiguous problems into well-scoped, high-quality deliveries
  • Own quality through testing, observability, safe rollout practices, and production issue investigation
What You Have
  • 5+ years of strong software engineering experience building backend systems and APIs in production
  • Strong fluency with AI-assisted software delivery and clear judgment about where AI helps and where rigor matters most
  • Experience creating skills, MCP servers, hooks, subagents, and/or plugins.
  • A practical understanding of AI-native workflows, including structured context, iterative loops, and high-quality review and testing practices
  • Experience in Go, or deep proficiency in a comparable backend language such as Java
  • Experience building and operating transactional databases such as Postgres, RDS, or Aurora, including schema design, migrations, query performance, and reliability
  • Experience designing APIs, service boundaries, data models, and integration patterns in distributed systems
  • Comfort with workflow orchestration, event-driven architectures, and operational complexity
  • A strong quality mindset across testing, CI/CD, telemetry, and production ownership
  • Strong communication and a high-ownership approach to technical execution
Nice to Have
  • Experience building shared platform capabilities used by multiple teams or products
  • Experience in fintech, payments, spend controls, ledgering, or other transaction-heavy systems
  • Experience with admin systems, integration platforms, or enterprise workflow products
  • Experience helping teams adopt more effective AI-assisted engineering practices

The national total target cash compensation range for this position, including base salary and bonus target, is $158,000 - $190,000 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).