Job Description

**2 ROLES! AIR Telemetry, and LIQUID COOLING Telemetry. Please pay attention to the slight separation in expectations for each.
Titles: Air AND Liquid Cooling Telemetry Data Engineer
Location: Preference given to Redmond WA for both candidates, but open to remote.
*IF candidates are in the Greater Seattle Area, they will need to adhere to the team's hybrid policy: 4 days onsite, Studio C.
Team: Microsoft Cloud Operations & Innovation (CO+I), IDEA - RADAR (Reliability, Automation, Detection, Alerting & Readiness)
Duration: Expected 18 Months
TEAM OVERVIEW:
The RADAR team serves as Microsoft's data center telemetry trust layer within the IDEA organization, enabling operational intelligence across the global datacenter fleet. The team focuses on telemetry validation, monitoring, detection engineering, and readiness programs that support datacenter operations, sustainability initiatives, and Microsoft's "Sea of Green" operating model. RADAR partners closely with engineering, operations, commissioning, and sustainability teams to ensure telemetry data is trusted, actionable, and operationally ready at cloud scale.
PROJECT OVERVIEW:
Microsoft is expanding telemetry coverage beyond electrical systems into mechanical, environmental, thermal, humidity, and liquid-cooling domains. This Telemetry Data Engineer will play a key role in building automated frameworks that validate telemetry quality, monitor device health, classify sensor states, and improve operational visibility across mechanical infrastructure throughout Microsoft's datacenter fleet.
The ideal candidate will help transform raw telemetry into trusted operational signals, allowing datacenter operations teams to quickly identify issues, improve incident response, and support sustainability and cooling initiatives worldwide.
ROLE RESPONSIBILITIES/DAY TO DAY:
- Develop telemetry validation frameworks for mechanical infrastructure including:
Air Cooling: CRAH (Computer Room Air Handler), AHU (Air Handling Unit), Chillers, Pumps, Airflow, Temperature/Humidity telemetry
Liquid Cooling: CDU (Cooling Distribution Unit) and HRU (Heat Reduction Unit) telemetry, Liquid cooling loops, Thermal analytics
- Define telemetry standards, expected signal inventories, and onboarding requirements for mechanical assets.
- Build automated validation processes to identify missing, stale, flatlined, or non-conforming telemetry signals.
- Design and implement device and sensor health classification frameworks (Healthy, Degraded, Failed, Unknown).
- Develop fleet-wide monitoring, anomaly detection, and telemetry quality measurement solutions.
- Create health validation models for temperature, humidity, thermal trending, liquid cooling, and environmental monitoring systems.
- Partner with commissioning, operations, and engineering teams to establish telemetry readiness requirements for production deployments.
- Expand RADAR's detection platform into mechanical and environmental telemetry domains.
- Build scalable data pipelines supporting signal validation, device enumeration, health classification, and operational alerting.
- Enable fleet-wide visibility into telemetry readiness and health through the Sea of Green platform.
- Create operational data products and dashboards that help identify actionable issues across the global datacenter fleet.
- Collaborate with DMCE, CE Operations, DART, THREAD, TSI, Sustainability, and other stakeholder teams to drive telemetry governance and best practices.
SUCCESS WILL BE MEASURED BY:
- Increased mechanical telemetry coverage across Microsoft's global datacenter fleet.
- Improved automated validation of mechanical and environmental telemetry signals.
- Expansion of Sea of Green visibility into mechanical infrastructure health.
- Improved confidence and classification of critical mechanical sensors.
- Faster detection and engagement for telemetry failures and operational incidents.
- Increased adoption of telemetry health insights by Operations and partner teams.
- Enhanced readiness of telemetry supporting power, cooling, sustainability, and liquid-cooling initiatives.
TOP 3 REQUIRED HARD SKILLS:
1. 5+ years of Data Engineering experience (preferred in Critical Environment/Thermal or Mechanical Systems)
- Strong experience designing and supporting large-scale telemetry, IoT, industrial controls, monitoring systems, or sensor-driven data platforms.
2. Advanced SQL, Kusto (KQL), and Python skills
- Ability to build scalable data pipelines, validation frameworks, monitoring solutions, and analytics capabilities across large datasets.
- *Kusto is a Microsoft query tool commonly used for time series data and heavily used for this team
3. Telemetry Validation & Monitoring Experience
- Hands-on experience building automated validation, anomaly detection, monitoring, or operational readiness solutions that support critical infrastructure or business operations.
ALSO REQUIRED:
- Degree in: Computer Science, Engineering, Data Engineering, Mechanical Engineering, or related field.
- Demonstrated ability to translate operational requirements into scalable data solutions
ADDITIONAL NICE TO HAVE SKILLS:
- Experience with Azure Data Explorer (ADX), Power BI, and cloud-scale analytics platforms.
- Knowledge of data pipelines, distributed systems, and telemetry architectures.
- Experience supporting operational readiness, incident response, or automation initiatives.
- Ability to translate operational requirements into scalable technical solutions.
- Exposure to sensor quality validation, telemetry onboarding, or monitoring systems.
- Preferred Qualifications:
- Datacenter infrastructure or critical environment experience.
- Understanding of HVAC, chilled water systems, CRAH/AHU units, cooling loops, pumps, thermal management, or liquid cooling technologies.
- Experience supporting sustainability programs, operational efficiency initiatives, or infrastructure monitoring.
- Familiarity with mechanical and environmental telemetry systems.
BEST V AVERAGE:
Best Candidate:
- Has experience working with datacenter infrastructure, industrial systems, IoT platforms, or mission-critical environments.
- Combines strong data engineering expertise with an understanding of mechanical systems and operational technology.
- Deep experience building telemetry validation, monitoring, and anomaly detection frameworks.
- Comfortable partnering across engineering, operations, and business teams.
- Proactively identifies data quality issues and develops scalable automation solutions.
- Excited about building enterprise-scale telemetry trust and operational intelligence platforms.
Average Candidate:
Strong data engineer with general analytics and pipeline development experience.
Experience with monitoring and telemetry data but limited exposure to infrastructure systems.
Able to support existing processes but less experienced designing health classification and validation frameworks from scratch.
Limited exposure to mechanical systems, datacenter operations, or critical environment monitoring.

Skills

Sql, kql, kusto, IoT, monitoring surveillance, monitoring, validation, python, data engineering, anomaly detection, data pipeline, telemetry, data center, Critical environments, sensor systems, HVAC, thermal, cooling, azure data explorer, power bi

Top Skills Details

Sql,kql,kusto,IoT,monitoring surveillance,monitoring,validation,python,data engineering,anomaly detection,data pipeline,telemetry

Additional Skills & Qualifications

- Experience with Azure Data Explorer (ADX), Power BI, and cloud-scale analytics platforms.
- Knowledge of data pipelines, distributed systems, and telemetry architectures.
- Experience supporting operational readiness, incident response, or automation initiatives.
- Ability to translate operational requirements into scalable technical solutions.
- Exposure to sensor quality validation, telemetry onboarding, or monitoring systems.
- Preferred Qualifications:
- Datacenter infrastructure or critical environment experience.
- Understanding of HVAC, chilled water systems, CRAH/AHU units, cooling loops, pumps, thermal management, or liquid cooling technologies.
- Experience supporting sustainability programs, operational efficiency initiatives, or infrastructure monitoring.
- Familiarity with mechanical and environmental telemetry systems.

Experience Level

Expert Level

Job Type & Location

This is a Contract position based out of Redmond, WA.

Pay and Benefits

The pay range for this position is $55.00 - $64.00/hr.

Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Redmond,WA.

Application Deadline

This position is anticipated to close on Aug 19, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.