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Power Source Jobs in Hartwell, GA (NOW HIRING)

Writes, tests, and troubleshoots complex SQL queries to access, transform, validate, and prepare data across multiple source systems. * Builds, maintains, and enhances Power BI reports, dashboards ...

Writes, tests, and troubleshoots complex SQL queries to access, transform, validate, and prepare data across multiple source systems. * Builds, maintains, and enhances Power BI reports, dashboards ...

This role requires a strong electrical engineering background with emphasis on power distribution ... Work with external suppliers and partners to source electrical components and materials (busbars ...

New

Writes, tests, and troubleshoots SQL queries to access, validate, and prepare data for reporting, analytics, and automation across multiple source systems. * Builds, maintains, and enhances Power BI ...

Utility Sales Support

Belton, SC · Remote

$17.75 - $23.25/hr

ABB Installation Products Division (formerly Thomas & Betts), helps manage the connection, protection and distribution of electrical power from source to socket. The Division's products are ...

Use Azure DevOps and GitHub for source control, pull requests, code reviews, branching strategies ... Experience with Power Platform, Logic Apps, or other integration and automation platforms.

ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source ... electric power, cable TV, gas, water, and sewer systems. Thoroughly search for underground ...

Power Source information

See Hartwell, GA salary details

$12

$22

$43

How much do power source jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for power source in Hartwell, GA is $22.80, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $26.39 per hour, depending on experience, location, and employer.

What is a power source?

Power sources are devices or systems that provide the necessary energy to operate electrical equipment and systems. They can include batteries, generators, solar panels, or connections to the electrical grid. Power sources are essential in both residential and industrial settings to ensure continuous operation of machinery, appliances, and electronic devices. The selection of a power source depends on factors such as energy requirements, reliability, and environmental impact.

What are the key skills and qualifications needed to thrive as a power source engineer?

To thrive as a Power Source Engineer, you need a solid background in electrical engineering, power systems design, and energy conversion, usually supported by a relevant degree. Familiarity with simulation software (such as MATLAB or ETAP), grid integration technologies, and certifications like Professional Engineer (PE) are typically required. Strong problem-solving, teamwork, and communication skills help navigate complex projects and coordinate with cross-functional teams. These skills ensure efficient design, reliable operation, and safety of power generation and distribution systems.

What are some common challenges faced by professionals working with power sources, and how can they be addressed?

Professionals working with power sources often encounter challenges such as ensuring reliable and uninterrupted power delivery, maintaining equipment safety standards, and troubleshooting unexpected outages or faults. Addressing these challenges requires strong analytical skills, adherence to safety protocols, and up-to-date technical knowledge. Collaboration with engineers, technicians, and safety personnel is crucial for identifying solutions and implementing preventative maintenance, which supports efficient and safe operations.

What is the difference between Power Source vs Electrician?

AspectPower SourceElectrician
Required CredentialsNone specific; often technical or vocational trainingLicensing and certifications required
Work EnvironmentPower plants, renewable energy sites, industrial facilitiesResidential, commercial, industrial electrical systems
Industry UsageDesign, maintenance, and operation of energy systemsInstallation, repair, and troubleshooting of electrical wiring

Power Source professionals focus on energy systems, including generation and distribution, often working in energy plants or renewable sites. Electricians specialize in installing and maintaining electrical wiring and systems in buildings. While both roles involve electrical knowledge, Power Source roles are more centered on energy production, whereas Electricians handle electrical infrastructure in structures.

What job categories do people searching Power Source jobs in Hartwell, GA look for?

The top searched job categories for Power Source jobs in Hartwell, GA are:

Infographic showing various Power Source job openings in Hartwell, GA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $47,418 per year, or $22.8 per hour.

IT BI Manager

Anderson, SC • On-site


Techtronic Industries (TTI)

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

130th of 495 rated machine equipment manufacturers

People enjoy working here

Good employer

Paid breaks


Full-time

Posted 7 days ago


Job description

Job Description:
The IT BI Manager is a senior, full-stack member of the Data Analytics & Information Engineering (DAIE) team, responsible for reporting, analytics, and AI-enabled solutions across TTI's business units. This role combines data analytics expertise with strong collaboration skills -SQL-based data preparation and Power BI reporting that delivers valuable solutions to the business. The position works across the enterprise rather than being tied to a specific business unit, and partners with the broader DAIE team to implement AI-enabled solutions - such as Snowflake Cortex Analyst and Cortex Agents, Copilot agents, and related conversational or agentic tools - for business consumption. This role also implements advanced data modeling and single-source-of-truth data architecture efforts, champions data governance standards, and applies project management discipline to complex, multi-phase initiatives. This is a senior individual contributor role requiring deep technical expertise across the full data stack, from pipeline development through reporting and decision-support delivery.
RESPONSIBILITIES / SKILLS
  • Applies project management discipline to plan, sequence, and deliver complex, multi-phase data engineering and analytics initiatives, coordinating timelines, dependencies, and stakeholder expectations.
  • Partners with business stakeholders and DAIE team members across business units to gather requirements, define technical solutions, and translate business needs into scalable pipeline and reporting architecture.
  • Assists in implementing AI-enabled solutions for business consumption, such as Snowflake Cortex Analyst and Cortex Agents, Copilot agents, and related conversational or agentic tools, in partnership with the broader DAIE team.
  • Collaborates with IT, data engineering, security, and business stakeholders to ensure solutions are scalable, supportable, secure, and aligned to enterprise standards.
  • Implements advanced data modeling efforts - including dimensional modeling, semantic models, and predictive/statistical modeling - to support accurate, scalable analytics across the enterprise.
  • Champions single-source-of-truth data architecture, consolidating redundant reports and legacy BI environments into unified, trusted enterprise data models.
  • Establishes and reinforces data governance practices, including data quality standards, access controls, and documentation, to ensure solutions are secure, consistent, and auditable.
  • Writes, tests, and troubleshoots complex SQL queries to access, transform, validate, and prepare data across multiple source systems.
  • Builds, maintains, and enhances Power BI reports, dashboards, and semantic models - including enhanced visualizations - that support enterprise-wide business decision-making.
  • Uses AI coding agents and related tools (e.g., GitHub Copilot) to accelerate development, testing, debugging, and documentation of pipelines, queries, reports, and automation.
  • Assists with Snowflake data preparation, transformation, and semantic model development; contributes to and helps mature dbt-based transformation practices across the team.
  • Monitors, troubleshoots, and optimizes scheduled data refreshes, pipeline jobs, and automated processes to minimize business disruption and technical debt.
  • Serves as a technical resource and team player, sharing best practices in data engineering, automation, and analytics development, and supporting the professional growth of the broader team.
  • Performs other related duties as assigned.

EXPECTED ALLOCATION OF TIME
  • Data Discovery: 5%
  • Data Ingestion: 10%
  • Data Transformation: 15%
  • Semantic Modeling: 20%
  • Report/AI Solution Building/Maintenance: 20%
  • Collaboration: 30%

This job description is intended to be illustrative of the position's duties and should not be construed to be an exhaustive statement of the essential functions of the job.
CRITICAL SUCCESS FACTORS
  • Problem Solving - ability to break down ambiguous, enterprise-scale data problems, troubleshoot root causes, and design solutions that are scalable and sustainable; the single most valued trait for this role.
  • Team Player & Collaboration - ability to share technical knowledge, support the growth of all team members, and work effectively alone or with cross-functional teams; highly valued by the team.
  • Advanced Modeling & Data Architecture - ability to design and lead advanced data models (dimensional, semantic, predictive/statistical) and single-source-of-truth architecture that the enterprise can rely on.
  • AI Fluency - genuine interest and hands-on ability in applying AI coding agents and AI-enabled business solutions (e.g., Copilot, Snowflake Cortex Analyst/Agents); a top must-have for this role.
  • Project Management - ability to plan, sequence, and manage complex, multi-phase technical initiatives, balancing timelines, dependencies, and stakeholder expectations.
  • Data Governance - ability to establish and enforce data quality, security, access, and documentation standards across pipelines and reporting solutions.
  • Technical Depth - strong experience across the full data stack, including pipeline engineering, orchestration, containerization, SQL, and Power BI reporting.
  • Analytical Skills - ability to understand data, write and interpret complex SQL, evaluate data quality, build reporting logic, and translate findings into practical recommendations.
  • Business Partnership - ability to build credibility with stakeholders across the enterprise, understand functional needs, and manage expectations without being tied to a single business unit.
  • Ownership & Follow-Through - ability to take end-to-end responsibility for complex, enterprise-wide pipeline and reporting projects from design through production support.
  • Communication Skills - ability to explain technical architecture, project updates, and data issues clearly to audiences with varying levels of technical knowledge.
  • Technical Curiosity - genuine interest in emerging data engineering tools, automation, AI-assisted development, and evolving best practices; willingness to learn quickly and apply new capabilities.

EDUCATION AND EXPERIENCE
  • Bachelor's degree along with 5-10 years of relevant experience in data engineering, analytics, or a related field is preferred; 3-5 years of experience is acceptable for candidates holding a bachelor's degree in computer science, data engineering, or a closely related discipline. Master's degree is a plus.
  • Proficiency with SQL is required, including the ability to write, troubleshoot, and optimize complex queries for reporting, analytics, and data preparation.
  • Proficiency with Power BI is required, including report and dashboard development, data modeling, and DAX in a business setting.
  • Experience with advanced data modeling techniques - such as dimensional modeling, semantic modeling, or predictive/statistical modeling - and building single-source-of-truth data architecture is required.
  • Experience using AI coding agents and AI-enabled business tools (e.g., GitHub Copilot, Snowflake Cortex Analyst/Agents, Copilot agents, or similar conversational/agentic solutions) is required.
  • Experience applying data governance principles (e.g., data quality standards, access controls, documentation practices) is strongly preferred.
  • Project management experience or demonstrated ability to plan and coordinate complex, multi-phase technical initiatives is strongly preferred.
  • Experience with Snowflake and dbt is strongly preferred.
  • Experience with Python is preferred, including the ability to build, test, and maintain automation scripts and integrations.
  • Experience with Azure Data Factory, Docker, Kubernetes, and Prefect (or similar orchestration tools) is a plus.
  • Ability to manage multiple priorities across enterprise-wide initiatives while maintaining consistent, high-quality technical delivery.
  • Strong verbal and written communication skills with the ability to manage multiple priorities and perform well under pressure.
  • Ability to work independently and as an integral part of a cross-functional team, acting as a collaborative team player and mentor to others.

OTHER REQUIREMENTS
  • Ability to travel (post-COVID) up to 10%. It is anticipated this position will travel 0-10%

PHYSICAL REQUIREMENTS: if applicable, select one & change pounds
  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 30 pounds at times.

The above statements are intended to describe the general nature and level of work performed by employees assigned to this position. This document is subject to change at any time and is not intended to be exhaustive of all duties, responsibilities, and skills required by employees with this position title.

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