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Assistant Telemetry Engineer Jobs in Maryland (NOW HIRING)

... telemetry data A successful candidate would possess these skills: * Ability to work independently ... Bachelor's degree in Engineering, Mathematics, or Statistics, or 4 years of equivalent professional ...

Collaborate and assist system engineers with the development, configuration and tuning of ... Experience with EDR telemetry analysis (Microsoft Defender for Endpoint / Advanced Hunting) and/or ...

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Assistant Telemetry Engineer information

What is an assistant telemetry engineer?

An Assistant Telemetry Engineer is a technical professional who supports the design, installation, maintenance, and troubleshooting of telemetry systems. These systems are used to collect and transmit data remotely, often in industries like aerospace, automotive, energy, and telecommunications. The assistant works under the guidance of senior engineers to ensure accurate data transmission and system reliability. Their tasks may include configuring sensors, running diagnostic tests, and helping analyze performance data. Strong analytical skills and attention to detail are essential in this role.

What are the key skills and qualifications needed to thrive as an assistant telemetry engineer?

To thrive as an Assistant Telemetry Engineer, you need a strong background in electronics, signal processing, and data analysis, often supported by a degree in electrical engineering or a related field. Familiarity with telemetry systems, data acquisition software, and tools like MATLAB or LabVIEW is typically required. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These competencies are crucial for ensuring accurate data collection, system reliability, and seamless collaboration in technical teams.

What are some common challenges faced by assistant telemetry engineers during data collection and analysis?

Assistant Telemetry Engineers often encounter challenges such as ensuring data accuracy, managing large volumes of real-time data, and troubleshooting sensor malfunctions in the field. Working closely with senior engineers and multidisciplinary teams, they must quickly identify and resolve connectivity or calibration issues to maintain data integrity. Adapting to rapidly changing project requirements and learning new telemetry tools are also part of the role, which helps develop valuable problem-solving skills and technical expertise.

What is the difference between Assistant Telemetry Engineer vs Telemetry Engineer?

AspectAssistant Telemetry EngineerTelemetry Engineer
Required CredentialsBachelor's degree in engineering or related field; some certifications preferredBachelor's or master's degree; professional certifications advantageous
Work EnvironmentSupportive team setting, assisting with data collection and analysisLeading telemetry data analysis, system design, and troubleshooting
Employer & Industry UsageUsed in aerospace, automotive, and defense industries for entry-level rolesUsed in similar industries for more advanced telemetry system management
Search & Comparison IntentOften searched by those starting in telemetry or assisting rolesCompared by those seeking advanced telemetry engineering positions

In summary, an Assistant Telemetry Engineer typically supports telemetry systems with entry-level responsibilities, while a Telemetry Engineer handles more complex analysis and system design. The roles differ mainly in experience level, responsibilities, and scope of work, but both require similar educational backgrounds and industry experience.

What does an Assistant Telemetry Engineer do?

An Assistant Telemetry Engineer supports the collection, analysis, and management of telemetry data from medical devices or systems. They assist in monitoring equipment performance, troubleshooting technical issues, and ensuring data accuracy, often using specialized software and tools. This role typically requires technical skills, attention to detail, and knowledge of biomedical or engineering principles.
What are the most commonly searched types of Telemetry Engineer jobs in Maryland? The most popular types of Telemetry Engineer jobs in Maryland are:
What cities in Maryland are hiring for Assistant Telemetry Engineer jobs? Cities in Maryland with the most Assistant Telemetry Engineer job openings:

Data Platform Engineer (Manufacturing)

Ion Storage Systems

Beltsville, MD โ€ข On-site

$116K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago


Job description

We're hiring a full-time Data Platform Engineer, based in Beltsville, MD and reporting into the Office of the CTO, to take end-to-end ownership of the data platforms behind our solid-state battery manufacturing. You will own the systems that connect our production lines, labs, equipment, and internal applications. You will design, build, and operate the pipelines, databases, monitoring, and back-end services that move data off the production floor and out of the lab into the dashboards, models, and tools our teams rely on every day. You'll work hands-on with real physical-world data (furnaces, cyclers, robots) on a small team with a modern data stack, across both greenfield and brownfield systems, with visible impact.

This is a role for someone who wants to own data in a manufacturing setting, not a generic big-data or data-science position. The right person is fluent on the IT/OT boundary, comfortable writing production code, maintaining existing systems, and partnering across data, IT/OT, and manufacturing teams. We'll set you up with modern AI-assisted development workflows to amplify your work. The role is open to mid-level through senior candidates; we will level to fit. You'll report to and work alongside our Data Solutions Architect, who will support you as you grow into the role.

Responsibilities:

  • Own the data platforms for our manufacturing environment (SCADA, databases, ETL/ELT orchestration, dashboards, and data governance) and administer or support manufacturing business systems (e.g. MES, PLM, QMS) by managing access, permissions, and configuration.
  • Build and operate back-end services, internal tools, and the platform layer (VMs, APIs, Docker/K8s, git, CI/CD), drive incidents to resolution, and lead implementation of new manufacturing tools, coordinating upgrades, testing, validation, and deployment with vendors and stakeholders.
  • Minimize single points of failure across the data stack through comprehensive documentation, backup/recovery procedures, cross-training, and engineering for maintainability.
  • Partner with Executive, IT/OT, R&D, Engineering, and Operations stakeholders to scope work, plan deliveries, and roll out changes safely.
  • Employ governed AI workflows across day-to-day engineering, including code generation, debugging, documentation, code review, and operational automation.
  • Serve as a point of contact for manufacturing systems support, develop training materials, and conduct user training.

Required Experience:

  • Bachelor's in Computer Science, Engineering, Information Systems, or a related field (or equivalent hands-on experience) and 4+ years building and operating production data systems, or a Master's and 2+ years; spanning database schema design, ETL/ELT workflows and orchestration, and dashboards.
  • Experience working with manufacturing, industrial, or adjacent equipment-generated data (production, lab, sensor, telemetry, or scientific-instrument), or strong production data engineering experience plus genuine curiosity about physical systems.
  • Hands-on experience with containerization, version control, and CI/CD workflows in a team setting.
  • Experience with operational monitoring, logging, alerting, backup recovery, and incident response for production systems.
  • Track record of maintaining and improving existing systems, not just building greenfield.
  • Experience supporting cross-functional teams across Engineering, Operations, Quality, and Supply Chain.
  • Experience creating reports, dashboards, and KPIs, and gathering requirements to drive process improvements through software systems.

Desirable Experience:

  • Experience operating in hybrid environments that span on-prem infrastructure and cloud services (Azure preferred) and thoughtful about where each system belongs.
  • Semantic models, dataflows, and downstream reporting infrastructure (Power BI preferred).
  • Internal application development experience โ€“ data entry UIs, sample/run trackers, equipment dashboards, or workflow apps tied to production systems.
  • Experience working in early-stage environments where you owned systems end-to-end.
  • Experience with regulated, quality-sensitive, or audit-driven data workflows (e.g. QC, automotive, aerospace, defense, life sciences).
  • Hands-on production use of AI coding assistants or agentic development tools, with a clear, responsible point of view on where they help and where they don't; bonus for building agentic workflows or LLM-backed automation into production data or operations systems (e.g., RAG over internal data, MCP servers, evals).
  • Familiarity with specific platforms and tools used in our stack, such as Odoo ERP, MS SQL and Postgres, Prometheus and Grafana, Dagster for data orchestration, and basic scripting (Python, PowerShell, Bash).
  • Experience administering or supporting MES, PLM, QMS, SCADA, or other manufacturing-traceability and production-operations platforms, including integrating production-floor equipment and process data, and an understanding of the data they generate.

Required Skills:

  • Excellent critical thinking, problem-solving, and debugging skills, with discipline around documentation and continuous improvement.
  • Self-motivated and able to take full ownership of critical systems, including the unglamorous maintenance work that keeps them running.
  • Proactive in identifying and mitigating reliability, data-quality, and security risks.
  • Strong written and verbal communication, comfortable with both technical deep-dives and stakeholder updates.
  • Comfort working across IT/OT and manufacturing teams to translate production-floor problems into data engineering work.

Department: Office of the CTO

Location: Beltsville, MD

Reports to: Data Solutions Architect

Benefits:

The base salary range for this role is $125,000โ€“$155,000, depending on experience. In addition to base salary and equity, we offer the following company benefits:

  • Medical, dental, vision, disability, and life insurance
  • Stock options in an early-stage company
  • Hybrid
  • Company and floating holidays
  • 17 days of PTO to start, with increase upon tenure
  • 401(k) plan with a 4% company match beginning after first paycheck
  • Wellness allowance of $1,000 annually

Company Description

ION Storage Systems is commercializing breakthrough solid-state lithium metal battery technology, based on discoveries made at the University of Maryland, that prioritizes performance, safety, and durability. Built on a scalable, modular, three-dimensional ceramic structure, ION's batteries take a sustainable approach to next-generation energy storage and are ready to meet the demands of an increasingly electrified world across defense and aerospace, consumer electronics, electrified transportation, and renewable energy storage. We are backed by leading venture capital firms including Alsop Louie Partners, Clear Creek Investments, VoLo Earth Ventures, and Toyota Ventures.

We offer an inclusive environment with growth opportunities and encourage work/life balance, because we believe a thriving workspace leads to a thriving company. Our team is made up of driven, creative people who are passionate about their work, and we hope you'll reach out to learn more and join our diverse, collaborative team.

To all recruitment agencies: Ion Storage Systems, Inc. will not accept agency resumes for this role. Please do not forward resumes to our jobs email, or to any Ion Storage Systems employees or any other company email address. Ion Storage Systems is not responsible for any fees related to unsolicited resumes.

Ion Storage Systems, Inc. is proud to be an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, ancestry, pregnancy, sexual orientation, gender identity, national origin, age, citizenship, marital status, disability, or veteran status.

Eligibility to work in the United States as a U.S. Citizen or U.S. permanent resident is required for consideration.