NAES · 15 hours ago
Principal Systems Development & Analytics Engineer
United States
Full-time
Remote
Lead/Staff
$163K/yr - $187K/yr
10+ years expNAES is a leader in the power generation and renewable energy sector, offering career opportunities in a dynamic environment. The Principal Systems Development & Analytics Engineer will lead the design and operation of systems that enhance operational efficiency and reduce risk across various portfolios, while also providing technical leadership within the Centralized Analytics and Automation Team.
Energy
Responsibilities
Accountable for the end-to-end design and operation of NAES’s operational automation and analytics layer. This includes defining the technical architecture for telemetry ingestion, data normalization, event processing, and downstream system integration, and ensuring those systems operate reliably in production
Lead the design and implementation of confidence-based alarm logic, time-based validation, event correlation, and suppression mechanisms that distinguish true failures from transient or low-confidence conditions. These decisions are embedded directly into operational workflows and enforced programmatically, not surfaced solely as dashboards or alerts
A central responsibility is deep integration with CMMS platforms and work management systems, enabling automated creation, cancellation, prioritization, and routing of work orders based on fault probability, duration, asset criticality, and operational context. Ensure that automation logic is auditable, deterministic, and aligned with operational and contractual requirements
Own operational analytics and KPIs that replace manual reporting and reconciliation, including MTTR, MTBF, alarm recurrence, dispatch avoidance, technician utilization, and cost-to-serve metrics by asset, site, customer, and portfolio. These analytics are system-generated and designed to drive action, not retrospective reporting
From a governance and cybersecurity standpoint, the Principal Engineer designs and enforces system-level controls for customer onboarding and offboarding, telemetry ingestion boundaries, logical access enforcement, configuration management, and decision logging. This work directly supports audit readiness, cybersecurity reviews, and customer security assessments by replacing informal human compensating controls with programmatic enforcement
Play a key role in mentoring other CAAT engineers, reviewing designs and code, and establishing best practices for reliability, scalability, and maintainability. While this role does not have formal people management responsibility, it provides clear technical leadership and accountability
Where appropriate and approved, the role supports controlled, customer-facing analytics and automation engagements, leveraging internal frameworks to deliver scoped, outcome-based solutions for NAES customers. External work remains secondary to internal mandates and is governed to ensure it does not compromise operational priorities
Qualification
Required
BS in Computer Science from an accredited college or university recognized by the United States Department of Education or equivalent. Relevant work experience may be substituted for education on a year-for-year basis
10 years of experience designing and operating production-grade systems that integrate multiple data sources and downstream platforms in asset-intensive or operational environments
Experience building and maintaining API integrations and event-driven workflows
Driver's License
Preferred
Experience in power generation, renewables, utilities, industrial O&M, or similarly asset-intensive environments
Prior work involving CMMS platforms, alarm management, reliability engineering, or predictive maintenance systems
Experience with cloud-native architectures, streaming data systems, and automation frameworks. Exposure to cybersecurity concepts related to access control, data boundaries, audit logging, and compliance in regulated environments
Candidates who have led or owned automation initiatives that demonstrably removed manual labor, reduced operating cost, or improved audit posture over time will be particularly strong fits for this role
Proficient in modern programming languages commonly used for automation and data systems, such as Python, and highly competent in SQL and relational data modeling
A strong background in systems engineering, software engineering, or data engineering
Able to translate complex, ambiguous operational problems into deterministic, enforceable system logic and to remain accountable for those systems over time. Candidates must be comfortable making architectural decisions, defending trade-offs, and operating with minimal supervision
Strong communication skills
Bachelors or better in Computer Science or related field
Benefits
Competitive compensation
A comprehensive benefits package (including retirement)
Company
NAES
NAES is the power generation industry’s largest independent services provider, with more than 40 years of experience managing risk and turning it into profits.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Norm Escover
President and CEO
Stephanie Sprouse
CFO, Power Services & Renewables Group
Recent News
2024-05-03
SeekingAlpha
2023-11-02
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