Sr. Analytics Engineer

Join to apply for the Sr. Analytics Engineer role at The Nuclear Company Join to apply for the Sr. Analytics Engineer role at The Nuclear Company Get AI-powered advice on this job and more exclusive features. This range is provided by The Nuclear Company. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $179,000.00/yr - $203,000.00/yr Additional compensation types Annual Bonus and Stock options Direct message the job poster from 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. About the role: The Nuclear Company is seeking a highly skilled and experienced Senior Analytics Engineer to join our growing data team. This role offers the opportunity to make a significant impact by transforming complex data into actionable intelligence within a critical and highly regulated industry. As a Senior Analytics Engineer, you will be a key contributor to our data team, responsible for designing, building, and optimizing sophisticated analytical solutions and data pipelines that empower decision-making across all facets of our nuclear energy operations. You will bridge the gap between raw data and business insights, focusing on data modeling, transformation, and visualization, while upholding the highest standards of data integrity, security, and regulatory compliance. You will work independently on complex projects and provide technical guidance to more junior team members. Responsibilities: End-to-End Analytical Solution Development: Design, develop, and implement robust and scalable data models and analytical solutions that support critical business functions (e.g., operations, engineering, maintenance, finance, regulatory affairs). Translate complex business questions and requirements into technical specifications for data acquisition, transformation, and reporting. Develop and optimize ETL/ELT pipelines to ensure efficient and reliable data flow from diverse sources, including operational technology (OT) systems, enterprise applications, and external datasets. Advanced Data Modeling & Transformation: 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. Perform complex data transformations, aggregations, and feature engineering to prepare data for advanced analytics, machine learning, and reporting. Ensure data quality, consistency, and accuracy across all analytical datasets. Develop and maintain advanced dashboards and interactive reports using leading business intelligence tools, enabling stakeholders to monitor KPIs, identify trends, and derive insights. Collaborate with business users to refine reporting requirements and ensure solutions provide maximum value. Data Governance & Compliance: Implement and enforce data governance policies and best practices within analytical workflows, ensuring data integrity, security, and auditability. Ensure all data solutions comply with relevant nuclear industry regulations (e.g., NRC guidelines) and internal quality assurance programs. Champion data literacy and responsible data usage across the organization. Technical Guidance & Mentorship: Provide technical guidance and mentorship to junior analytics engineers, fostering their growth and ensuring adherence to best practices. Conduct code reviews, provide constructive feedback, and contribute to the continuous improvement of data engineering processes. Work closely with data scientists, principal/senior data engineers, software developers, and business leaders to understand complex data needs and deliver impactful solutions. Clearly communicate technical concepts and analytical findings to non-technical stakeholders. Experience Education: Bachelor's degree in computer science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. 5+ years of progressive experience in data analytics, data engineering, or a similar role focused on building analytical solutions. Demonstrated expertise in SQL for complex data manipulation and querying. Strong programming skills in Python (or R) for data analysis, transformation, and automation. Proven experience in designing and implementing data models for analytical purposes (e.g., star schema, snowflake schema). Hands-on experience with cloud-based data platforms (AWS, Azure, or GCP) and their data services (e.g., Snowflake, BigQuery, Redshift, Azure Synapse Analytics). Experience with a leading Business Intelligence tool (e.g., Tableau, Power BI, Looker). Familiarity with version control systems (e.g., Git). Skills: Advanced SQL & Data Modeling Python/R for Data Analysis & Engineering Business Intelligence & Data Visualization Strong Analytical & Problem-Solving Skills Excellent Communication (written and verbal) & Collaboration Abilities Deep understanding of data quality, governance, and security principles Ability to work independently and guide others. Preferred Qualifications: Master's degree in a relevant field. Direct experience in the nuclear energy industry or another highly regulated, safety-critical industrial environment. Experience with big data technologies (e.g., Spark, Kafka). Familiarity with specific nuclear industry data sources (e.g., plant operational data, simulation data). Experience with data orchestration tools (e.g., Airflow, Dagster). Competitive compensation packages 401k with company match Annual company retreats Estimated Starting Salary Range: The estimated starting salary range for this role is $179,000 - $203,000 annually less applicable withholdings and deductions, paid on asemi-monthly 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. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Utilities and Energy Technology Referrals increase your chances of interviewing at The Nuclear Company by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Get notified about new Data Engineer jobs in Bellevue, WA . 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