Data Engineer

Page Mechanical Group, Inc.; Northern (KY); On-site; USD 100,000 - 170,000; Full time

Job summary

Gigapower LLC is seeking a Data Engineer to architect and build a cloud-based data platform that powers analytics, automation, and AI-driven applications. You will own data models, ingestion pipelines, and governance across diverse data sources while ensuring secure, scalable access for analytics and AI workloads.

The role requires hands-on development in a fast-paced environment, strong SQL/data modeling, and experience with cloud data warehouses and Python.

Qualifications

• Bachelor’s degree or equivalent in CS/IS/Data Eng.
• 3–6 years in data engineering building warehouses and data marts.
• Strong SQL and data modeling skills.
• Experience with cloud data platforms (Snowflake/BigQuery/Redshift) and Python.
• Geospatial data experience; Azure cloud familiarity.

Responsibilities

• Design scalable cloud data models integrating operational, financial, engineering, and field data.
• Develop data ingestion, transformation, orchestration, and monitoring across sources.
• Create data warehouses, marts, and analytical datasets for reporting and AI workloads.
• Model geospatial data and support RAG, AI search, ML apps.
• Maintain data quality, governance, lineage, and confidentiality.
• Collaborate with IT/Sec/Infra for access controls and reliability.
• Translate operational needs into scalable data solutions with stakeholders.
• Monitor performance and cost efficiency of the data platform.
• Leverage AI-powered tools to improve productivity and outcomes.

Skills

SQL

Data modeling

Python

Geospatial data

Stakeholder communication

Problem solving

Education

Bachelor's degree in CS/IS/Data Eng or related

Tools

Snowflake

BigQuery

Redshift

Azure Data Factory

Airflow

Dagster

Esri ArcGIS

Azure

Job description

Data Engineer

Company: Gigapower LLC
Dept./Org.: Trans./Strategy
Location: Virtual (Remote)

Who We Are

Gigapower is building next-generation fiber broadband infrastructure that expands high-speed connectivity to communities across the United States. We are committed to innovation, operational excellence, and leveraging technology to deliver smarter, faster, and more scalable solutions. As an AI-forward organization, we encourage employees at every level to embrace emerging technologies, continuously expand their AI capabilities, and actively incorporate AI tools into their daily work to improve productivity, decision-making, collaboration, and business outcomes.

Position Summary

The Data Engineer serves as a foundational member ofGigapower'sAI organization, responsible for designing, building, andmaintainingthe cloud data platform that powers analytics, reporting, automation, and AI-driven applications across the business. This role will shapeGigapower'senterprise data architecture from the ground up, integrating operational data sources,establishingscalable data models, and ensuring information is accessible, reliable, secure, and AI-ready. The successful candidate will thrive in a hands-on environment, take ownership of critical data domains, and build the data foundation that enables strategic decision-making and next-generation AI capabilities.

Key Responsibilities

• Design and build scalable cloud-based data models that integrate operational, financial, engineering, and field data into reliable andqueryabledata assets.
• Develop andmaintaindata ingestion, transformation, orchestration, and monitoring processes across multiple source systems.
• Create andoptimizeenterprise data warehouses, marts, and analytical datasets that support reporting, analytics, and AI workloads.
• Model and manage geospatial data, including spatial data types, coordinate systems, and location-based relationships.
• Structure data to support retrieval-augmented generation (RAG), AI search, analytics, and machine learning applications.
• Establish andmaintainstandards for data quality, governance, lineage, documentation, and confidentiality.
• Partner with IT, Security, and Infrastructure teams to ensureappropriate accesscontrols, reliability, and platform performance.
• Collaborate with business stakeholders to translate operational requirements into scalable data solutions.
• Monitor andoptimizedata platform performance, reliability, and cost efficiency.
• Utilize AI-powered tools to improve productivity and accelerate data engineering outcomes.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or a related discipline, or equivalent practical experience.
• 3 to 6 years of experience in data engineering withdemonstratedsuccess designing and building enterprise data warehouses, business-focused data marts, and scalable analytical data models
• Strongproficiencyin SQL and data modeling principles.
• Hands-on experience with cloud data warehouse platforms such as Snowflake,BigQuery, Redshift, or similar technologies.
• Strongproficiencyin Python for data integration, transformation, and pipeline development.
• Experience working with geospatial data, spatial data types, projections, and location-based analysis.
• Experience with cloud platforms, preferably Microsoft Azure, including storage, data pipelines, and serverless technologies.
• Ability to independently own and deliver data engineering solutions in a fast-paced environment.
• Strong communicationskills and the ability to partner effectively with technical and non-technical stakeholders.
• Strong analytical, problem-solving, andcritical-thinkingskills.

Preferred Qualifications

• Experience withdbtor similar data transformation frameworks.
• Experience with orchestration technologies such as Airflow, Azure Data Factory,Dagster, or comparable platforms.
• Familiarity with geospatial or OSP platforms such as Esri and ArcGIS.
• Experience preparing, modeling, andoptimizingdata for AI, machine learning, and retrieval-augmented generation (RAG) use cases.
• Experience handling confidential, sensitive, or regulated operational data environments.

Key Competencies

• Data Architecture & Modeling: Designs scalable, maintainable, and high-quality data structures that support enterprise decision-making.
• Data Platform Engineering: Builds reliable, secure, and performant data solutions that enable analytics and AI innovation.
• Operational Excellence:Establishesstandards for quality, governance, monitoring, and continuous improvement.
• Business Partnership: Collaborates with stakeholders to translate operational needs into valuable data assets.
• Problem Solving & Analysis: Uses data-driven thinking to address complex business and technology challenges.
• Innovation & Automation: Continuously seeks opportunities to improve efficiency through modern data technologies and automation.
• Ownership & Accountability: Takes end-to-end responsibility for delivering high-impact data solutions.

About Us

Gigapower is building the next generation of broadband infrastructure. Through innovative fiber network deployment and strategic partnerships, we are helping expand high-speed connectivity to communities and businesses across the United States. Our mission is to deliver reliable, scalable, and future-ready broadband solutions that empower economic growth, education, healthcare, and digital innovation.

At Gigapower, we value collaboration, accountability, integrity, and continuous improvement. We are committed to creating an environment where employees can contribute meaningful work, develop professionally, and make a lasting impact on the communities we serve. As we continue to grow, we seek talented individuals who are passionate about excellence and eager to help shape the future of connectivity.

EEO

Gigapower is an Equal Opportunity Employer and is committed to creating a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, national origin, ancestry, citizenship status, age, disability, medical condition, genetic information, sex, pregnancy, sexual orientation, gender identity or expression, marital status, veteran status, military status, or any other characteristic protected by applicable federal, state, or local law.

Gigapower is committed to providing reasonable accommodation to qualified individuals with disabilities and to applicants throughout the recruitment process. If you require assistance or accommodation, please notify a member of our Talent Acquisition team.