Rand Technology · 11 hours ago
Data Machine Learning Engineer
Irvine,CA,US
Full-time
Onsite
Mid, Senior Level
4+ years expRand Technology is seeking a Data / ML Engineer to lead the design, optimization, and expansion of their SQL Server-based data warehouse while developing and deploying machine learning models. The role requires strong data engineering fundamentals and practical machine learning experience to support business insights and automation.
SemiconductorElectronicsManufacturingInformation Technology
Responsibilities
Design, build, and maintain a scalable SQL Server–based data warehouse
Develop and optimize complex T-SQL queries, stored procedures, and indexing strategies for performance and reliability
Build and manage ETL/ELT pipelines integrating data from SQL Server, Oracle, Microsoft Dataverse, and other enterprise systems
Implement data models and schemas to support reporting, analytics, and executive dashboards
Ensure data quality, governance, security, and documentation standards are consistently applied
Develop, train, and deploy machine learning models (2–3+ years hands-on experience required)
Apply ML techniques to forecasting, pricing analysis, demand patterns, and market intelligence
Build data pipelines to support model training, evaluation, and production deployment
Collaborate with business stakeholders to translate real-world problems into ML solutions
Leverage Azure Data Lake, Azure Data Factory, and related Microsoft data services
Integrate data from Microsoft Dynamics 365 (CRM/ERP) and other enterprise platforms
Partner with analysts, developers, and IT teams to support Power BI and advanced analytics use cases
Stay current with modern data engineering and ML standards, tools, and best practices
Actively seek opportunities to improve data architecture, modeling approaches, and automation
Qualification
Required
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field
4+ years of data engineering experience
2–3+ years of hands-on machine learning modeling experience
Strong expertise in Microsoft SQL Server (T-SQL, query optimization, indexing, performance tuning)
Proven experience building and managing data warehouses
Experience with ETL/ELT tools (SSIS, Azure Data Factory, or similar)
Proficiency in Python for data processing, automation, and ML workflows
Preferred
Experience with Azure Data Lake, Azure Synapse, or Microsoft Fabric
Exposure to Microsoft Dynamics 365 (CRM/ERP) and Dataverse
Background in semiconductor, distribution, or supply chain data environments
Experience deploying ML models into production environments
Familiarity with CI/CD pipelines for data and ML workloads
Strong SQL and data warehousing foundation
Practical ML experience (not just academic)
Curious, self-driven, and eager to adopt modern data/AI platforms
Comfortable working in a fast-moving, high-impact environment
Business-oriented: understands how data and ML drive real outcomes
Company
Rand Technology
Rand Technology is a leading independent distributor of semiconductors and electronic components to the technology manufacturing industry.
201-500 employees
H1B Sponsorship
Rand Technology has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6)
2024 (6)
2023 (12)
2022 (4)
2021 (1)
2020 (2)
Funding
Current Stage
Growth StageLeadership Team
Andrea Klein
Founder and CEO
Recent News
Company data provided by crunchbase