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Sensor Operator Jobs in Houston, TX (NOW HIRING)

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Scaling that mission depends on a trustworthy, well-governed data foundation that turns raw sensor ... Master's preferred. * 2+ years of hands-on experience building and operating production data ...

Field Installation Technician

Missouri City, TX · On-site +1

$19.25 - $23.75/hr

... operators in our Corporate HQ in Kansas City, you'll contribute to our goal to keep everyone safe ... sensor, proximity sensors and RFID readers * Setup verify new units ensuring they come online, as ...

Field Installation Technician

Missouri City, TX · On-site

$19.25 - $23.75/hr

... operators in our Corporate HQ in Kansas City, you'll contribute to our goal to keep everyone safe ... sensor, proximity sensors and RFID readers * Setup verify new units ensuring they come online, as ...

Software Controls Engineer

Webster, TX

$39.75 - $50.75/hr

... operated underwater systems. Our team is composed of engineers and scientists passionate about ... Integrate sensor data (IMUs, cameras, sonar, etc.) into robotic control architectures. * Utilize ...

Software Controls Engineer

Webster, TX · On-site

$39.75 - $50.75/hr

... operated underwater systems. Our team is composed of engineers and scientists passionate about ... Integrate sensor data (IMUs, cameras, sonar, etc.) into robotic control architectures. * Utilize ...

Irrigation Technician

Houston, TX · On-site

$17 - $30/hr

Install High-tech sensor and flow sensing installation LEARNING ON THE JOB * Work independently ... This franchise is independently owned and operated by a franchisee. Your application will go ...

Electrical Maintenance Technician

Houston, TX · On-site

$25.50 - $33/hr

... sensor networks, HMI systems, and electrical components on automated production lines. This role ... operator interface systems. Key Responsibilities • Diagnose and repair issues related to ...

Diagnose and resolve complex technical issues, including firmware updates, sensor replacements, and ... Bend or twist the body when operating equipment. Sit for long periods of time. Able to communicate ...

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and ... related to well performance, sensor readings, and operational logs. * Develop robust, high ...

E&C TECHNICIAN (Cleveland, TX)

Cleveland, TX · On-site

$16 - $20.50/hr

Maintain all controls, monitor alarms and sensor tests. * Troubleshooting and scheduling electrical ... Valid operating license with acceptable driving record under company insurers. Competencies, skills ...

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Sensor Operator information

What is a Sensor Operator?

A Sensor Operator is a specialized professional who operates and monitors sensor equipment, often on military aircraft such as drones or surveillance planes. Their main responsibility is to collect, analyze, and interpret data from various sensors, including radar, infrared, and video systems. Sensor Operators play a critical role in intelligence gathering, reconnaissance, and targeting missions. They work closely with pilots and mission commanders to provide real-time information and ensure the success of missions. This role requires strong technical skills, attention to detail, and the ability to make quick decisions under pressure.

What job makes $10,000 a month without a degree?

A sensor operator typically does not earn $10,000 a month without specialized training or experience. High-paying roles in fields like sales, real estate, or entrepreneurship can reach that level without a degree, but most technical jobs, including sensor operation, require relevant skills or certifications. Achieving such income often involves advanced skills, experience, or working in high-demand industries.

What jobs pay $6,000 a month?

Sensor operators and similar technical roles can earn around $6,000 per month, especially with experience, certifications, and working in specialized environments such as manufacturing, security, or industrial settings. Salaries vary based on location, industry, and level of expertise, with higher pay often associated with overtime or shift work.

What are the key skills and qualifications needed to thrive as a Sensor Operator, and why are they important?

To thrive as a Sensor Operator, you need strong analytical skills, attention to detail, and an understanding of electronic and surveillance systems, often supported by specialized military or technical training. Familiarity with sensor platforms, data analysis software, GPS systems, and sometimes security clearance are typically required. Excellent communication, teamwork, and decision-making skills help operators relay critical information quickly and accurately. These abilities are vital for ensuring accurate data collection and mission success in high-stakes environments.

What Does a Sensor Operator Do?

A sensor operator is a fairly new position with the advent of unmanned aircraft and involves employing airborne sensors, either manually or with the help of a computer, to track and monitor various objects. The air force is one major employer for these types of defense positions. In this role, you assist with flight operations, debriefing, and planning missions. Your main task is to continually monitor these surveillance and weapon systems in a remote setting, ensuring each mission is successful. Other duties include detecting the correct targets using various forms of radar and video.

What is the difference between Sensor Operator vs Radar Technician?

AspectSensor OperatorRadar Technician
Required CredentialsTypically certifications in sensor systems or related fields, sometimes associate degreesCertifications in radar systems, electronics, or technical degrees
Work EnvironmentControl rooms, field sites, or industrial settingsMaintenance facilities, technical labs, or field service locations
Employer & Industry UsageMilitary, aerospace, security, industrial sectorsDefense, aerospace, transportation, and military sectors
Common Search & ComparisonSensor OperatorRadar Technician

Sensor Operators and Radar Technicians both work with radar and sensor systems, often in similar industries like defense and aerospace. Sensor Operators focus on monitoring and operating sensor equipment, while Radar Technicians specialize in maintaining and repairing radar systems. Both roles require technical certifications and are vital for system performance, but their daily tasks and focus areas differ.

How does a Sensor Operator typically collaborate with other team members during a mission?

Sensor Operators work closely with pilots, mission commanders, and intelligence analysts to ensure accurate data collection and mission success. During operations, they communicate real-time findings, relay critical information, and adjust sensor settings based on team feedback. This role requires strong teamwork, adaptability, and clear communication, as decisions made by the Sensor Operator often impact mission outcomes and safety. Effective collaboration is key to interpreting data correctly and responding quickly to evolving mission scenarios.

What do sensor operators do?

Sensor operators monitor and interpret data from various sensors and surveillance equipment to detect and track objects or activities. They often work in security, military, or industrial environments, using specialized tools and maintaining certifications to ensure accurate and timely responses.

How much does a sensor operator make?

Sensor operators typically earn between $40,000 and $70,000 annually, depending on experience, location, and industry. They often require technical skills and certifications related to sensor systems and data analysis, and may work in environments such as manufacturing, security, or military operations.
What cities near Houston, TX are hiring for Sensor Operator jobs? Cities near Houston, TX with the most Sensor Operator job openings:
Data Engineer

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Job Type
Full-time
Description
Fervo is building the most cost-effective, repeatable geothermal power plants in the world. Scaling that mission depends on a trustworthy, well-governed data foundation that turns raw sensor signals, drilling and completions records, and power plant telemetry into reliable, decision-ready information. The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers, operators, data scientists, and the analytical and agentic applications built on top.
The Data Engineer owns data products end to end - from ingestion and modeling, through quality, governance, and serving, to monitoring in production. Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business stakeholders, this role establishes reusable patterns for real-time and batch processing, IoT/historian integration, data quality and entity linkage, and self-service analytics on our Azure, Databricks, and Snowflake stack. Success requires strong hands-on engineering depth in distributed data processing, sound data modeling and architecture judgment, and pragmatism about what to ship versus what to defer.
Requirements
Responsibilities
Data Pipeline & Platform Engineering
  • Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and Azure Data Factory, landing data in Azure Data Lake Storage (ADLS) and Snowflake
  • Implement the medallion (bronze/silver/gold) architecture using Delta Lake and Delta Live Tables, with reliable incremental processing, schema evolution, and change data capture
  • Build and tune Apache Spark jobs (PySpark/Spark SQL) for large-scale, parallel data processing - partitioning, shuffles, caching, broadcast joins, and cost/performance optimization
  • Ingest and process high-volume IoT and historian data (sensor, SCADA, time-series) via streaming frameworks (Structured Streaming, Event Hubs/Kafka) and micro-batch patterns

Data Modeling, Quality & Governance
  • Model curated, analytics-ready datasets and serving layers that are well-documented, performant, and easy for downstream consumers to use
  • Implement automated data quality frameworks - validation, profiling, anomaly detection, freshness and completeness checks - with clear alerting and remediation paths
  • Build entity resolution and record linkage logic to unify wells, pads, assets, equipment, and events across heterogeneous source systems
  • Establish and enforce data governance using Unity Catalog - access controls, lineage, data classification, and a shared semantic/metadata layer that makes business concepts queryable and trustworthy

Reliability, CI/CD & Production Operations
  • Apply software engineering discipline to data: version control, code review, automated testing, and CI/CD pipelines (Azure DevOps or GitHub Actions) for data and infrastructure
  • Implement monitoring, logging, and observability across pipelines to support debugging, SLA tracking, cost monitoring, and continuous improvement
  • Support production incidents and platform-level issues impacting data pipelines and downstream consumers; develop runbooks and reduce toil through automation

Analytics Enablement & Collaboration
  • Partner with analysts and stakeholders to deliver datasets and semantic models that power dashboards in Power BI and Spotfire
  • Collaborate with Data Science and AI Engineering to provision clean, governed, feature-ready data for ML and agentic workflows
  • Translate domain problems from drilling, completions, production, geophysics, and power plant operations into well-scoped, reliable data products with clear ownership and success metrics

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Applied Mathematics, Physics, or a related technical field - or equivalent practical experience demonstrated through a portfolio of shipped data systems. Master's preferred.
  • 2+ years of hands-on experience building and operating production data pipelines, not just prototypes or notebooks
  • Deep understanding of the Apache Spark framework and distributed, parallel data processing - partitioning, shuffles, joins, caching, and performance tuning at scale
  • Strong programming skills in Python (PySpark) and SQL, including writing testable, maintainable production code
  • Hands-on experience with Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog
  • Experience with Azure Data Factory and Azure Data Lake Storage (ADLS), or equivalent cloud data services with willingness to work in our Azure-first environment
  • Experience with cloud data warehousing on Snowflake (or equivalent: BigQuery, Redshift, Databricks SQL)
  • Experience building both real-time/streaming and batch pipelines (Structured Streaming, Event Hubs/Kafka, or similar)
  • Solid data modeling skills (dimensional, medallion/lakehouse, or normalized) and a track record of building well-documented, consumable datasets
  • Experience implementing data quality, validation, and observability for pipelines
  • Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing
  • Experience delivering data to BI/analytics tools such as Power BI and/or Spotfire

Preferred Qualifications
  • Experience with data governance and cataloging - Unity Catalog, Microsoft Purview, lineage tooling, and semantic/metric layers (Snowflake Semantic Views, Databricks Metric Views, dbt Semantic Layer)
  • Experience with entity resolution / record linkage and master data management across messy, multi-source data
  • Background in time-series data, signal processing, or industrial IoT (MQTT, OPC UA, SparkplugB) and historian systems (Canary, Ignition)
  • Experience with infrastructure-as-code (Terraform preferred) and containerization (Docker)
  • Experience with orchestration tooling (Databricks Workflows, Airflow, ADF pipelines) and dbt for transformation
  • Familiarity with data security and access control patterns - Entra ID, row/column-level security, masking, Key Vault-managed secrets
  • Oil and gas or energy industry experience, including familiarity with drilling, completions, production, geophysics, or industrial historian data
  • Exposure to ML/AI data needs - feature engineering, feature stores, or provisioning data for agentic/LLM applications
  • Experience optimizing cloud data cost and performance at scale

Location
Fervo Energy is headquartered in Houston, TX, with growing offices in Golden, CO, Reno, NV, and Oakland, CA, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at the Oakland or Houston office will be required
Compensation & Benefits
Fervo provides a comprehensive suite of benefits including medical, dental, vision, life, short-term and long-term disability, flexible paid time off, and paid parental leave. Additionally, Fervo offers an incentive stock options program, a bonus incentive program, and a 401(k) plan with an employer match.
Fervo Energy is providing the compensation range and general description of other compensation and benefits that the company in good faith believes it might pay and/or offer for this position based on the successful applicant's education, experience, knowledge, skills, and abilities in addition to internal equity and geographic location. Expected Salary: $x - $x based on location and experience.
Fervo Energy reserves the right to ultimately pay more or less than the posted range and offer other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.
Fervo Energy is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin, ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. ffice will be required.