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.
Responsibilities
- Engineers in this track design and operate scalable data platforms and pipelines supporting enterprise analytics and AI
- This track focuses on building and productionizing statistical models and machine learning systems to solve complex real-world problems
- This track focuses on building high-quality data models, reporting layers, and analytics platforms for enterprise decision-making
Skills
- Bachelor's degree or equivalent practical experience (4+ additional years)
- Typically 6–8+ years with strong hands‑on technical ownership for Senior Engineers
- Typically 10+ years with deep expertise, system design ownership, and cross‑team influence for Principal Engineers / Leads
- 8+ years of experience (10+ for Principal) in data engineering
- Strong programming in Python, Spark, and SQL
- Experience with high‑volume, operational data systems
- Deep expertise in ETL/ELT pipelines, data modeling, and performance tuning
- Hands‑on experience with Azure Data Factory, Azure Databricks, or similar platforms
- Building and maintaining enterprise‑scale data architectures
- Experience across the full data lifecycle: design, development, optimization, and operations
- Data security, reliability, and governance principles
- Exposure to modern data platforms and distributed processing
- 8+ years of experience (10+ for Principal) in data science or applied ML
- Strong programming in Python and/or R
- Hands‑on experience with SQL, PySpark, and large‑scale datasets
- Expertise in at least one domain: Machine learning (supervised/unsupervised), Time‑series forecasting, Statistical modeling or survival analysis
- Experience with libraries such as scikit‑learn, pandas, tidyverse
- Strong 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 deployment
- Data visualization experience (Power BI or similar)
- Ability to translate complex problems into analytical and technical solutions
- 6+ years of experience in data, BI, or analytics engineering
- Expert‑level SQL, data modeling, and performance optimization
- Deep understanding of data warehousing and semantic layer design
- Experience building ETL pipelines and reporting systems
- Strong experience with large‑scale, enterprise data integration
- Building fault‑tolerant, highly available analytics systems
- Experience with data visualization and reporting platforms
- Ability to translate business requirements into scalable data models
- Strong understanding of deployment architectures and system design
- Experience operating in shared code ownership environments
- Deep expertise across data architecture, analytics, or AI platforms
- Proven ability to drive large‑scale technical initiatives end‑to‑end
- Strong experience influencing cross‑functional stakeholders
- Ability to evaluate and evolve data and AI platform strategy
- Expertise in modern data ecosystems (cloud, open‑source, or hybrid)
- Strong communication skills to bridge business and engineering
- Experience setting best practices across architecture, scalability, and performance
- Modernization from legacy BI to cloud data platforms (Azure, Databricks)
- Exposure to distributed data systems and real‑time analytics
Company Overview
brk 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 .