Top Tech Jobs & Startup Jobs

Develop analytical solutions, statistical models, and machine learning algorithms to support business decisions. Responsibilities include extracting and cleaning complex datasets, building data pipelines and databases, creating visualizations and reports, validating data quality, presenting insights to stakeholders, collaborating across teams, documenting methodologies, and applying emerging data science techniques.

Leads strategy and portfolio optimization for residential energy brands, focusing on customer acquisition, retention, profitability, and growth. Develops analytical frameworks, business cases, performance tracking, and market strategies; guides senior leadership decisions; coordinates cross-functional implementation; and integrates market insights into go-to-market planning.

Accounting intern supporting departmental projects, reporting, data gathering, presentations, and process improvement. The role offers exposure to General Accounting, Derivatives, Cash Applications, Technical Accounting, Fixed Assets, Retail Accounting, and Settlements Accounting while providing mentorship and training within the energy business.

Assists the IT Audit team with risk assessment, IT general controls testing, Sarbanes-Oxley compliance activities, data analysis, audit workpapers, and reporting findings to company leaders. Responsibilities may cover logical and physical access, change management, and IT operations. The intern will analyze test results, evaluate control strengths and weaknesses, and use technology to improve audit efficiency.

Leads nuclear reactor-core fuel reload design projects from planning through closeout. Coordinates reactor physics, fuel management, thermal-hydraulic, licensing, operations, outage, vendor, and quality activities. Ensures analyses and deliverables meet schedule, cost, risk, configuration-control, procedural, licensing, quality, and regulatory requirements. Resolves complex technical issues, leads reviews and meetings, prepares recommendations, supports design changes, and provides technical guidance to less-experienced engineers.

Leads software development and platform support across front-end, back-end, data, and enterprise applications. Designs, deploys, tests, secures, and improves systems while driving data architecture, automation, ITIL processes, documentation, and operational compliance. Partners with business and technology stakeholders to define data needs, improve user experience, manage cross-team initiatives, and deliver agile solutions. Provides technical guidance, evaluates vulnerabilities, supports AI-enabled engineering practices, and mentors less experienced team members.

Processes weekly and biweekly multi-state payroll for exempt and non-exempt employees, including timekeeping, deductions, adjustments, balancing, audits, reporting, and year-end W-2 activities. Provides Tier 2 employee support, responds to payroll inquiries, supports Workday testing, and ensures timely, accurate payroll completion during holidays or emergency situations.

Leads billing exception management by analyzing SAP transaction and billing errors, identifying root causes, resolving batch failures, and implementing corrective actions. Oversees exception specialists, supports incident resolution and special projects, performs billing adjustments and account setup, conducts UAT, reviews SAP functionality, and trains team members. Requires advanced Excel, database, analytical, communication, and problem-solving skills, with knowledge of revenue operations and energy markets preferred.

Leads enterprise application technology strategy, team management, process and tool development, governance, operational quality, compliance, and technology roadmaps. Oversees application management and integrations, partners across teams to align dependencies, and drives automation, adoption, efficiency, and cost reduction. Requires strong IT leadership, communication, prioritization, and experience with SQL, Python, APIs, Microsoft Power Platform, and SharePoint governance.

Build and maintain Python-based services that integrate Generative AI into enterprise data and ML platforms. Design, implement, and scale cloud-hosted solutions, mentor junior developers, ensure governance and security compliance, and evaluate emerging AI technologies to improve developer productivity and business value.