[Remote] Senior/Principal Engineers: Data Engineers & Data Scientists

Note: The job is a remote job and is open to candidates in USA. BRK Tech, a Berkshire Hathaway Group Company, partners across various businesses to build modern, scalable data and AI platforms. They are seeking Senior and Principal-level Data Engineers, Data Scientists, and AI/ML Engineers to drive large-scale data systems and advanced analytics initiatives.ResponsibilitiesEngineers in this track design and operate scalable data platforms and pipelines supporting enterprise analytics and AIThis track focuses on building and productionizing statistical models and machine learning systems to solve complex real-world problemsThis track focuses on building high-quality data models, reporting layers, and analytics platforms for enterprise decision-makingSkillsBachelor's degree or equivalent practical experience (4+ additional years)Typically 6–8+ years with strong hands‑on technical ownership for Senior EngineersTypically 10+ years with deep expertise, system design ownership, and cross‑team influence for Principal Engineers / Leads8+ years of experience (10+ for Principal) in data engineeringStrong programming in Python, Spark, and SQLExperience with high‑volume, operational data systemsDeep expertise in ETL/ELT pipelines, data modeling, and performance tuningHands‑on experience with Azure Data Factory, Azure Databricks, or similar platformsBuilding and maintaining enterprise‑scale data architecturesExperience across the full data lifecycle: design, development, optimization, and operationsData security, reliability, and governance principlesExposure to modern data platforms and distributed processing8+ years of experience (10+ for Principal) in data science or applied MLStrong programming in Python and/or RHands‑on experience with SQL, PySpark, and large‑scale datasetsExpertise in at least one domain: Machine learning (supervised/unsupervised), Time‑series forecasting, Statistical modeling or survival analysisExperience with libraries such as scikit‑learn, pandas, tidyverseStrong foundation in statistics (hypothesis testing, inference, correlation)Experience building and validating models across multiple data sources (APIs, databases, data lakes)Proven ability to productionize ML models from development to deploymentData visualization experience (Power BI or similar)Ability to translate complex problems into analytical and technical solutions6+ years of experience in data, BI, or analytics engineeringExpert‑level SQL, data modeling, and performance optimizationDeep understanding of data warehousing and semantic layer designExperience building ETL pipelines and reporting systemsStrong experience with large‑scale, enterprise data integrationBuilding fault‑tolerant, highly available analytics systemsExperience with data visualization and reporting platformsAbility to translate business requirements into scalable data modelsStrong understanding of deployment architectures and system designExperience operating in shared code ownership environmentsDeep expertise across data architecture, analytics, or AI platformsProven ability to drive large‑scale technical initiatives end‑to‑endStrong experience influencing cross‑functional stakeholdersAbility to evaluate and evolve data and AI platform strategyExpertise in modern data ecosystems (cloud, open‑source, or hybrid)Strong communication skills to bridge business and engineeringExperience setting best practices across architecture, scalability, and performanceModernization from legacy BI to cloud data platforms (Azure, Databricks)Exposure to distributed data systems and real‑time analyticsCompany Overviewbrk tech is a new kind of technology organization within Berkshire Hathaway—built to empower world-class enterprises with adoption of tech and artificial intelligence enabling each business to accelerate their digital transformation.. It was founded in 2026, and is headquartered in San Francisco, California, US, with a workforce of 11-50 employees. Its website is .