Note: The job is a remote job and is open to candidates in USA. Switch’s Data Analytics Engineer II develops data and analytical solutions that support the performance and lifecycle management of critical infrastructure across its data centers. The role builds and maintains data systems, models, applications, and automation, and partners with operational and engineering teams to inform reliable infrastructure decisions.
Responsibilities
- Build and operate end-to-end data systems, including acquiring data from APIs, databases, and external systems
- Design data models and develop scalable ETL/ELT pipelines that load, cleanse, transform, and unify data for analytics
- Design, optimize, and maintain analytical data warehouses and supporting schemas
- Develop high-performance Starburst SQL queries, views, and transformations to support large-scale reporting and analysis
- Build and maintain data-driven web applications that connect backend APIs with analytical databases
- Partner with application development teams to deploy data applications securely and reliably at scale
- Support machine-learning and statistical workflows by developing automated feature-generation pipelines and providing clean, accessible datasets
- Develop automation that reduces repetitive data-processing work and improves consistency
- Design and deploy generative AI applications and autonomous agents using large language models, APIs, and orchestration frameworks
- Apply AI capabilities to automate workflows, improve user experiences, and support scalable engineering and operational solutions
- Monitor and optimize data pipelines, databases, applications, and supporting systems for reliability, performance, and scalability
- Establish and maintain data-quality standards and controls
- Implement appropriate data security and compliance measures to protect sensitive information
- Develop engineering and statistical models that support analysis of data center power, water, cooling, capacity, availability, efficiency, and lifecycle performance
- Analyze complex datasets and translate findings into practical recommendations for engineering, operations, and leadership
- Support root cause analysis, continuous improvement, condition-based maintenance, capacity management, and infrastructure lifecycle programs
- Provide data and performance insights that inform design feedback and infrastructure improvement decisions
- Partner with Operations, Commissioning, Construction, Engineering, and other stakeholders to understand requirements and develop appropriate data solutions
- Identify opportunities to improve analytical methods, tools, automation, and data workflows
Skills
- Bachelor of Science or higher in Mechanical Engineering, Electrical Engineering, Computer Science, or an equivalent math-intensive discipline
- 2+ years of experience supporting critical infrastructure or data center operations
- 1+ years of experience in an engineering role
- 1+ years of experience in a data science, data analytics, or comparable analytical role
- Advanced understanding of electrical and mechanical systems used in data center environments, which may include electrical feeders, transformers, generators, switchgear, UPS systems, power systems, ATS/STS units, PDU units, air handling units, cooling towers, pumping systems, and fire suppression systems
- Ability to interpret P&IDs, wiring diagrams, schematics, sequences of operation, submittals, and MEP drawing packages
- Strong understanding of data analysis methodologies and statistical techniques
- Experience with database management and data analysis tools
- Experience using Python or another programming or cloud-computing language
- Experience working with SQL and analytical data environments
- Ability to analyze complex information and develop solutions to technical problems
- Ability to translate analytical findings into recommendations for stakeholders and leadership
- Strong Microsoft Outlook, Publisher, Word, Excel, and PowerPoint skills
- Professional Engineer (PE) license
- Experience developing scalable ETL/ELT pipelines and analytical data models
- Experience with Starburst or comparable distributed SQL/query platforms
- Experience developing data-driven web applications and API integrations
- Experience supporting machine-learning or statistical modeling workflows
- Experience developing generative AI applications, LLM-based workflows, or autonomous agents
- Experience supporting infrastructure capacity, reliability, efficiency, condition-based maintenance, or lifecycle programs
Benefits
- A positive, supportive and forward-thinking environment.
- Work with the most advanced data center technology and be part of emerging technology development.
- In-office, hybrid, or fully remote work, with technology and support to keep teams connected and productive.
- Opportunities and advancement in a stable, growing company.
- Comprehensive coverage for you and your family that can be tailored to fit your personal needs.
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