The Nuclear Company
The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally.
Position Overview The Staff Analytics Engineer is a senior technical role responsible for designing, building, and maintaining the data infrastructure, analytics pipelines, and business intelligence systems that power Nuclear OS. This position combines expertise in data engineering, analytics, and business intelligence to transform raw data into actionable insights that drive decision-making across nuclear construction projects. You'll work at the intersection of data engineering and analytics, building sophisticated data models, ETL/ELT pipelines, and visualization tools that enable predictive analytics, real-time monitoring, and AI-driven optimization for nuclear project delivery.
Key Responsibilities
Lead the design and implementation
of sophisticated data models in data warehouses/lakes, optimizing for performance, scalability, and ease of consumption by analytics tools and data scientists
Design data storage and analytics systems
that support predictive maintenance and business intelligence goals
Build unified data ontology
that creates a "digital twin" of nuclear projects integrating diverse data sources
Create centralized data lake
for all project data including construction performance metrics, quality incidents, schedule deviations, and cost data
Develop data governance frameworks
and quality assurance protocols for enterprise data
Develop ingestion pipelines
for diverse datasets using ETL/ELT tools (Apache NiFi, Apache Airflow)
Build automated data pipelines
integrating Primavera schedules, BIM models, IoT sensor telemetry, and other sources
Perform complex data transformations, aggregations, and feature engineering
to prepare data for advanced analytics, machine learning, and reporting
Integrate real-time data
from IoT sensors, AR devices, and field operations into analytics systems
Ensure data quality
through validation, cleansing, and monitoring processes
Create dashboards and analyses
that demonstrate Nuclear OS's value using BI tools (Tableau, PowerBI, Superset)
Build business intelligence systems
for data analysis and decision-making
Develop analytics tools
tailored to project and operational needs
Drive innovation
in complex data visualization and project management interfaces that make nuclear construction data accessible and actionable
Create standardized performance metrics
and reporting frameworks
Build real-time dashboards
with data connectivity for monitoring construction progress and operational performance
AI/ML Support & Predictive Analytics
Support predictive analytics and machine learning models
that learn from historical and real-time data
Build data pipelines
for training and running ML models at scale
Enable AI-driven predictive analytics
for schedule optimization, risk detection, and anomaly identification
Support AI models
for predictive scheduling, ITAAC automation, and risk assessment
Prepare feature-engineered datasets
for data scientists and ML engineers
Monitor model performance
and data drift for production ML systems
Cross-Functional Collaboration
Work closely with data scientists, principal/senior data engineers, software developers, and business leaders
to understand complex data needs and deliver impactful solutions
Collaborate with engineering, construction, and operations teams
to translate business problems into analytics solutions
Partner with product teams
to define analytics requirements and success metrics
Support regulatory and compliance teams
with data-driven insights
Enable business leaders
to make data-driven decisions through accessible analytics
Platform Development & Optimization
Build analytics infrastructure
on Palantir Foundry and associated platforms
Optimize data pipelines
for performance, cost, and reliability
Implement data observability
and monitoring systems
Ensure scalability
of analytics systems for fleet-wide deployment
Develop APIs
for analytics services and data access
Create reusable analytics components
and templates
Technical Leadership & Mentorship
Provide technical guidance and mentorship
to junior analytics engineers, fostering their growth and ensuring adherence to best practices
Establish analytics engineering standards
and best practices
Lead code reviews
and technical design discussions
Drive continuous improvement
in analytics processes and tools
Share knowledge
through documentation and training
Required Qualifications Education & Experience
Bachelor’s degree in computer science, Data Science, Statistics, Engineering, or related field (Master's preferred)
7+ years
of experience in analytics engineering, data engineering, or business intelligence
3+ years
working with enterprise data platforms and analytics systems
Experience in construction, industrial, or complex project environments preferred
Technical Skills - Data Engineering
Expert proficiency
in SQL and database technologies (PostgreSQL, Snowflake, BigQuery, or similar)
Strong experience
with ETL/ELT tools (Apache Airflow, Apache NiFi, dbt, or similar)
Proficiency
in data modeling techniques (dimensional modeling, data vault, etc.)
Experience
with data warehousing and data lake architectures
Knowledge
of data pipeline orchestration and workflow management
Understanding
of data governance, quality, and lineage
Technical Skills - Analytics & BI
Strong skills
in data analysis, statistical modeling, and data visualization tools
Expert proficiency
in BI tools (Tableau, PowerBI, Looker, or similar)
Experience
with business analytics and KPI development
Knowledge
of statistical analysis and A/B testing
Understanding
of data storytelling and visualization best practices
Technical Skills - Programming & Platforms
Strong programming skills
in Python and/or Scala
Experience
with Palantir Foundry or similar enterprise data platforms
Proficiency
in version control (Git) and CI/CD practices
Knowledge
of cloud platforms (AWS, Azure, GCP)
Familiarity
with containerization (Docker, Kubernetes)
Understanding
of API development and microservices
Domain Knowledge
Understanding
of construction project management and workflows
Knowledge
of engineering data, BIM models, and project controls
Familiarity
with IoT data, sensor networks, and real-time analytics
Awareness
of nuclear industry requirements (preferred)
Understanding
of supply chain, procurement, and compliance data
Soft Skills Strong analytical and problem-solving skills
with ability to translate business problems into analytics solutions.
Excellent communication skills to explain complex data concepts to technical and non-technical stakeholders
Ability to work independently and lead analytics initiatives
Collaborative mindset to work across teams and functions
Attention to detail with focus on data quality and accuracy
Strategic thinking to align analytics with business objectives
Preferred Qualifications
Master's degree or Ph.D. in Data Science, Statistics, or related field
Experience with Palantir Foundry platform
Background in machine learning and AI systems
Knowledge of real-time streaming analytics (Kafka, Flink, Spark Streaming)
Experience with graph databases and network analysis
Familiarity with blockchain and distributed ledger data
Certifications in data engineering or analytics (AWS, GCP, Databricks)
Experience in nuclear, energy, or highly regulated industries
Hybrid work environment with office-based collaboration and remote work flexibility
Collaboration with data scientists, engineers, product managers, and business stakeholders
Occasional travel to construction sites and customer locations (10-15%)
Fast-paced environment with evolving data requirements and technologies
Why This Role Matters Nuclear OS is transforming nuclear construction through data-driven decision-making and AI-powered optimization. As a Staff Analytics Engineer, you'll build the data infrastructure and analytics systems that enable predictive analytics, real-time monitoring, and intelligent automation across nuclear projects. Your work will directly impact TNC's ability to deliver nuclear projects on time and on budget by making construction data accessible, actionable, and optimized through advanced analytics. This role is critical to enabling fleet-scale nuclear deployment through data excellence and analytical innovation.
Competitive compensation packages
401k with company match
Estimated Starting Salary Range The estimated starting salary range for this role is $20000 - $250000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company’s discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.
EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.
Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
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Position Overview The Staff Analytics Engineer is a senior technical role responsible for designing, building, and maintaining the data infrastructure, analytics pipelines, and business intelligence systems that power Nuclear OS. This position combines expertise in data engineering, analytics, and business intelligence to transform raw data into actionable insights that drive decision-making across nuclear construction projects. You'll work at the intersection of data engineering and analytics, building sophisticated data models, ETL/ELT pipelines, and visualization tools that enable predictive analytics, real-time monitoring, and AI-driven optimization for nuclear project delivery.
Key Responsibilities
Lead the design and implementation
of sophisticated data models in data warehouses/lakes, optimizing for performance, scalability, and ease of consumption by analytics tools and data scientists
Design data storage and analytics systems
that support predictive maintenance and business intelligence goals
Build unified data ontology
that creates a "digital twin" of nuclear projects integrating diverse data sources
Create centralized data lake
for all project data including construction performance metrics, quality incidents, schedule deviations, and cost data
Develop data governance frameworks
and quality assurance protocols for enterprise data
Develop ingestion pipelines
for diverse datasets using ETL/ELT tools (Apache NiFi, Apache Airflow)
Build automated data pipelines
integrating Primavera schedules, BIM models, IoT sensor telemetry, and other sources
Perform complex data transformations, aggregations, and feature engineering
to prepare data for advanced analytics, machine learning, and reporting
Integrate real-time data
from IoT sensors, AR devices, and field operations into analytics systems
Ensure data quality
through validation, cleansing, and monitoring processes
Create dashboards and analyses
that demonstrate Nuclear OS's value using BI tools (Tableau, PowerBI, Superset)
Build business intelligence systems
for data analysis and decision-making
Develop analytics tools
tailored to project and operational needs
Drive innovation
in complex data visualization and project management interfaces that make nuclear construction data accessible and actionable
Create standardized performance metrics
and reporting frameworks
Build real-time dashboards
with data connectivity for monitoring construction progress and operational performance
AI/ML Support & Predictive Analytics
Support predictive analytics and machine learning models
that learn from historical and real-time data
Build data pipelines
for training and running ML models at scale
Enable AI-driven predictive analytics
for schedule optimization, risk detection, and anomaly identification
Support AI models
for predictive scheduling, ITAAC automation, and risk assessment
Prepare feature-engineered datasets
for data scientists and ML engineers
Monitor model performance
and data drift for production ML systems
Cross-Functional Collaboration
Work closely with data scientists, principal/senior data engineers, software developers, and business leaders
to understand complex data needs and deliver impactful solutions
Collaborate with engineering, construction, and operations teams
to translate business problems into analytics solutions
Partner with product teams
to define analytics requirements and success metrics
Support regulatory and compliance teams
with data-driven insights
Enable business leaders
to make data-driven decisions through accessible analytics
Platform Development & Optimization
Build analytics infrastructure
on Palantir Foundry and associated platforms
Optimize data pipelines
for performance, cost, and reliability
Implement data observability
and monitoring systems
Ensure scalability
of analytics systems for fleet-wide deployment
Develop APIs
for analytics services and data access
Create reusable analytics components
and templates
Technical Leadership & Mentorship
Provide technical guidance and mentorship
to junior analytics engineers, fostering their growth and ensuring adherence to best practices
Establish analytics engineering standards
and best practices
Lead code reviews
and technical design discussions
Drive continuous improvement
in analytics processes and tools
Share knowledge
through documentation and training
Required Qualifications Education & Experience
Bachelor’s degree in computer science, Data Science, Statistics, Engineering, or related field (Master's preferred)
7+ years
of experience in analytics engineering, data engineering, or business intelligence
3+ years
working with enterprise data platforms and analytics systems
Experience in construction, industrial, or complex project environments preferred
Technical Skills - Data Engineering
Expert proficiency
in SQL and database technologies (PostgreSQL, Snowflake, BigQuery, or similar)
Strong experience
with ETL/ELT tools (Apache Airflow, Apache NiFi, dbt, or similar)
Proficiency
in data modeling techniques (dimensional modeling, data vault, etc.)
Experience
with data warehousing and data lake architectures
Knowledge
of data pipeline orchestration and workflow management
Understanding
of data governance, quality, and lineage
Technical Skills - Analytics & BI
Strong skills
in data analysis, statistical modeling, and data visualization tools
Expert proficiency
in BI tools (Tableau, PowerBI, Looker, or similar)
Experience
with business analytics and KPI development
Knowledge
of statistical analysis and A/B testing
Understanding
of data storytelling and visualization best practices
Technical Skills - Programming & Platforms
Strong programming skills
in Python and/or Scala
Experience
with Palantir Foundry or similar enterprise data platforms
Proficiency
in version control (Git) and CI/CD practices
Knowledge
of cloud platforms (AWS, Azure, GCP)
Familiarity
with containerization (Docker, Kubernetes)
Understanding
of API development and microservices
Domain Knowledge
Understanding
of construction project management and workflows
Knowledge
of engineering data, BIM models, and project controls
Familiarity
with IoT data, sensor networks, and real-time analytics
Awareness
of nuclear industry requirements (preferred)
Understanding
of supply chain, procurement, and compliance data
Soft Skills Strong analytical and problem-solving skills
with ability to translate business problems into analytics solutions.
Excellent communication skills to explain complex data concepts to technical and non-technical stakeholders
Ability to work independently and lead analytics initiatives
Collaborative mindset to work across teams and functions
Attention to detail with focus on data quality and accuracy
Strategic thinking to align analytics with business objectives
Preferred Qualifications
Master's degree or Ph.D. in Data Science, Statistics, or related field
Experience with Palantir Foundry platform
Background in machine learning and AI systems
Knowledge of real-time streaming analytics (Kafka, Flink, Spark Streaming)
Experience with graph databases and network analysis
Familiarity with blockchain and distributed ledger data
Certifications in data engineering or analytics (AWS, GCP, Databricks)
Experience in nuclear, energy, or highly regulated industries
Hybrid work environment with office-based collaboration and remote work flexibility
Collaboration with data scientists, engineers, product managers, and business stakeholders
Occasional travel to construction sites and customer locations (10-15%)
Fast-paced environment with evolving data requirements and technologies
Why This Role Matters Nuclear OS is transforming nuclear construction through data-driven decision-making and AI-powered optimization. As a Staff Analytics Engineer, you'll build the data infrastructure and analytics systems that enable predictive analytics, real-time monitoring, and intelligent automation across nuclear projects. Your work will directly impact TNC's ability to deliver nuclear projects on time and on budget by making construction data accessible, actionable, and optimized through advanced analytics. This role is critical to enabling fleet-scale nuclear deployment through data excellence and analytical innovation.
Competitive compensation packages
401k with company match
Estimated Starting Salary Range The estimated starting salary range for this role is $20000 - $250000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company’s discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role.
EEO Statement The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.
Export Control Certain positions at The Nuclear Company may involve access to information and technology subject to export controls under U.S. law. Compliance with these export controls may result in The Nuclear Company limiting its consideration of certain applicants.
#J-18808-Ljbffr