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.
Staff Analytics Engineer
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
Data Architecture & Modeling
- 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
Data Pipeline Development
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 sourcesPerform complex data transformations, aggregations, and feature engineering to prepare data for advanced analytics, machine learning, and reportingIntegrate real-time data from IoT sensors, AR devices, and field operations into analytics systemsEnsure data quality through validation, cleansing, and monitoring processesAnalytics & Business Intelligence
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-makingDevelop analytics tools tailored to project and operational needsDrive innovation in complex data visualization and project management interfaces that make nuclear construction data accessible and actionableCreate standardized performance metrics and reporting frameworksBuild real-time dashboards with data connectivity for monitoring construction progress and operational performanceAI / ML Support & Predictive Analytics
Support predictive analytics and machine learning models that learn from historical and real-time dataBuild data pipelines for training and running ML models at scaleEnable AI-driven predictive analytics for schedule optimization, risk detection, and anomaly identificationSupport AI models for predictive scheduling, ITAAC automation, and risk assessmentPrepare feature-engineered datasets for data scientists and ML engineersMonitor model performance and data drift for production ML systemsCross-Functional Collaboration
Work closely with data scientists, principal / senior data engineers, software developers, and business leaders to understand complex data needs and deliver impactful solutionsCollaborate with engineering, construction, and operations teams to translate business problems into analytics solutionsPartner with product teams to define analytics requirements and success metricsSupport regulatory and compliance teams with data-driven insightsEnable business leaders to make data-driven decisions through accessible analyticsPlatform Development & Optimization
Build analytics infrastructure on Palantir Foundry and associated platforms 17Optimize data pipelines for performance, cost, and reliabilityImplement data observability and monitoring systemsEnsure scalability of analytics systems for fleet-wide deploymentDevelop APIs for analytics services and data accessCreate reusable analytics components and templatesTechnical Leadership & Mentorship
Provide technical guidance and mentorship to junior analytics engineers, fostering their growth and ensuring adherence to best practicesEstablish analytics engineering standards and best practicesLead code reviews and technical design discussionsDrive continuous improvement in analytics processes and toolsShare knowledge through documentation and trainingRequired 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 intelligence3+ years working with enterprise data platforms and analytics systemsExperience in construction, industrial, or complex project environments preferredTechnical 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 architecturesKnowledge of data pipeline orchestration and workflow managementUnderstanding of data governance, quality, and lineageTechnical Skills - Analytics & BI
Strong skills in data analysis, statistical modeling, and data visualization toolsExpert proficiency in BI tools (Tableau, PowerBI, Looker, or similar)Experience with business analytics and KPI developmentKnowledge of statistical analysis and A / B testingUnderstanding of data storytelling and visualization best practicesTechnical Skills - Programming & Platforms
Strong programming skills in Python and / or ScalaExperience with Palantir Foundry or similar enterprise data platformsProficiency in version control (Git) and CI / CD practicesKnowledge of cloud platforms (AWS, Azure, GCP)Familiarity with containerization (Docker, Kubernetes)Understanding of API development and microservicesDomain Knowledge
Understanding of construction project management and workflowsKnowledge of engineering data, BIM models, and project controlsFamiliarity with IoT data, sensor networks, and real-time analyticsAwareness of nuclear industry requirements (preferred)Understanding of supply chain, procurement, and compliance dataSoft 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 stakeholdersAbility to work independently and lead analytics initiativesCollaborative mindset to work across teams and functionsAttention to detail with focus on data quality and accuracyStrategic thinking to align analytics with business objectivesPreferred Qualifications
Master's degree or Ph.D. in Data Science, Statistics, or related fieldExperience with Palantir Foundry platformBackground in machine learning and AI systemsKnowledge of real-time streaming analytics (Kafka, Flink, Spark Streaming)Experience with graph databases and network analysisFamiliarity with blockchain and distributed ledger dataCertifications in data engineering or analytics (AWS, GCP, Databricks)Experience in nuclear, energy, or highly regulated industriesWork Environment
Hybrid work environment with office-based collaboration and remote work flexibilityCollaboration with data scientists, engineers, product managers, and business stakeholdersOccasional travel to construction sites and customer locations (10-15%)Fast-paced environment with evolving data requirements and technologiesWhy 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.
This position offers the opportunity to build cutting-edge analytics infrastructure that transforms the nuclear industry and accelerates the deployment of clean, carbon-free energy through data-driven insights and AI-powered optimization.
Benefits
Competitive compensation packages
401k with company match
Medical, dental, vision plans
Generous vacation policy, plus holidays
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.