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Remote Subsurface Utility Engineer Jobs in Addison, TX

Scalepex

AWS Data Engineer - Fully Remote - US Only

Plano, TX · Remote

$117.20K - $140.70K/yr

About the Role We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have ...

Swoon Staffing

Refinery Data Engineer

Dallas, TX · Remote

$45 - $47.33/hr

REMOTE 8+ month contract for a Refinery Data Engineer role with a leading oil/energy client. APPLY ... utilities etc. - Identify and catalog refinery equipment-pumps compressors exchangers reactors ...

EPS

Systems Protection Group Engineer IV

Richardson, TX · On-site +1

Partial remote work available, reporting to EPS office in Richardson, TX. Domestic travel required ... Utilizing commercial, industrial, and utility energy systems; NFPA 70E standards for safety; IEEE ...

GFT.

Substation Engineers (Electrical Engineers)

Dallas, TX · On-site +1

$77K - $155K/yr

As a substation engineer, you will lead or support utility and power substation projects and ... Hybrid (in-person and remote) work environment. * Comprehensive benefits package including wellness ...

Innovation Consulting

Project Manager

Dallas, TX · Remote

$100K - $165K/yr

Project Manager - EPC / Utility Capital Programs (Remote work with travel to sites) Type ... We will consider candidates who have managed projects at an EPC lead firm, as the engineering ...

Innovation Consulting

Project Manager

Fort Worth, TX · Remote

$100K - $165K/yr

Project Manager - EPC / Utility Capital Programs (Remote work with travel to sites) Type ... We will consider candidates who have managed projects at an EPC lead firm, as the engineering ...

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All JobsRemote Subsurface Utility Engineer JobsRemote Subsurface Utility Engineer Jobs in Addison, TX

Remote Subsurface Utility Engineer information

See Addison, TX salary details

$33.9K

$93.7K

$161.7K

How much do remote subsurface utility engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote subsurface utility engineer in Addison, TX is $93,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $114,700.00 per year, depending on experience, location, and employer.

What is the difference between Remote Subsurface Utility Engineer vs Subsurface Utility Engineer?

AspectRemote Subsurface Utility EngineerSubsurface Utility Engineer
CredentialsTypically requires engineering degree, utility locating certifications, and GIS skillsRequires engineering degree, utility locating certifications, and GIS skills
Work EnvironmentPrimarily remote, utilizing GIS, CAD, and remote sensing toolsOn-site or in-office, involving utility mapping and field investigations
Industry UsageUsed in utility planning, design, and GIS-based projects

The main difference is that a Remote Subsurface Utility Engineer primarily works remotely using digital tools and GIS technology, while a Subsurface Utility Engineer often works on-site or in offices conducting field investigations. Both roles require similar credentials and are essential in utility management and infrastructure projects, but their work environments differ significantly.

What cities near Addison, TX are hiring for Remote Subsurface Utility Engineer jobs? Cities near Addison, TX with the most Remote Subsurface Utility Engineer job openings:
Remote Subsurface Utility Engineer jobs near you

AWS Data Engineer - Fully Remote - US Only

Scalepex

Plano, TX • Remote

$117.20K - $140.70K/yr

Full-time

Posted 9 days ago

Job description

❋ Why Scalepex?

Scalepex is a dynamic services firm specializing in providing solutions for premium brands like Nike, Pepsi, Toyota, Virgin and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.

❋ Take your portfolio to the next level by working with one of our fastest growing clients.

Join the Innovation Frontier at Scalepex!

About the Role

We are seeking an experienced AWS Data Engineer with a strong background in building scalable data solutions and expertise in utilities-related datasets. The ideal candidate will have at least 5 years of experience in data engineering, a deep understanding of distributed systems, and proficiency with AWS services and tools like Step Functions, Lambda, Glue, and Redshift. This role will focus on designing, developing, and optimizing data pipelines to support analytics and decision-making in the utilities industry.

Key Responsibilities

  • Design and Build Data Pipelines: Develop scalable, reliable data pipelines using AWS services (e.g., Glue, S3, Redshift) to process and transform large datasets from utility systems like smart meters or energy grids.
  • Workflow Orchestration: Use AWS Step Functions to orchestrate workflows across data pipelines; experience with Airflow is acceptable but Step Functions is preferred.
  • Data Integration and Transformation: Implement ETL/ELT processes using PySpark, Python, and Pandas to clean, transform, and integrate data from multiple sources into unified datasets.
  • Distributed Systems Expertise: Leverage experience with complex distributed systems to ensure reliability, scalability, and performance in handling large-scale utility data.
  • Serverless Application Development: Use AWS Lambda functions to build serverless solutions for automating data processing tasks.
  • Data Modeling for Analytics: Design data models tailored for utilities use cases (e.g., energy consumption forecasting) to enable advanced analytics
  • Optimize Data Pipelines: Continuously monitor and improve the performance of data pipelines to reduce latency, enhance throughput, and ensure high availability.
  • Ensure Data Security and Compliance: Implement robust security measures to protect sensitive utility data and ensure compliance with industry regulations.

Requirements

Required Qualifications

  • Minimum of 5 years of experience in data engineering
  • Proficiency in AWS services such as Step Functions, Lambda, Glue, S3, DynamoDB, and Redshift.
  • Strong programming skills in Python with experience using PySpark and Pandas for large-scale data processing.
  • Hands-on experience with distributed systems and scalable architectures.
  • Knowledge of ETL/ELT processes for integrating diverse datasets into centralized systems.
  • Familiarity with utilities-specific datasets (e.g., smart meters, energy grids) is highly desirable.
  • Strong analytical skills with the ability to work on unstructured datasets.
  • Knowledge of data governance practices to ensure accuracy, consistency, and security of data.
  • Strong experience in AWS data engineering
  • Ability to work independently
  • Ability to work with a cross-functional teams, including interfacing and communicating with business stakeholders
  • Professional oral and written communication skills
  • Strong problem solving and troubleshooting skills with experience exercising mature judgement
  • Excellent teamwork and interpersonal skills
  • Ability to obtain and maintain the required clearance for this role