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Remote Ili Pipeline Inspection Jobs in Virginia (NOW HIRING)

... local inspection, servicing, maintenance and repair services under the KSB SupremeServ brand ... Remote - United States Tasks / Responsibilities: * Develop strategic relationships with key ...

Remote Ili Pipeline Inspection information

What is a Remote ILI Pipeline Inspection?

A Remote ILI (In-Line Inspection) Pipeline Inspection refers to the process of using advanced tools and technology to assess the condition of pipelines from a distance, without needing direct human access inside the pipeline. This typically involves sending smart devices, such as pipeline inspection gauges (PIGs) equipped with sensors, through the interior of the pipeline to collect data on wall thickness, corrosion, cracks, and other defects. The collected information is then transmitted and analyzed remotely, allowing operators to detect potential issues and maintain the integrity of the pipeline. Remote ILI is crucial for ensuring safety, reliability, and compliance with regulatory standards, particularly in pipelines that are difficult to access.

What are the key skills and qualifications needed to thrive as a Remote ILI Pipeline Inspection professional?

To thrive as a Remote ILI Pipeline Inspection professional, you need a solid understanding of pipeline integrity, non-destructive testing methods, and relevant engineering principles, often supported by a technical degree and industry certifications. Familiarity with in-line inspection (ILI) tools, data analysis software, GIS systems, and remote monitoring technologies is typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for accurately interpreting data and collaborating with multidisciplinary teams. These skills and qualifications are crucial for ensuring pipeline safety, regulatory compliance, and timely identification of potential issues in remote environments.

What are some common challenges faced in a Remote ILI Pipeline Inspection role, and how can they be addressed?

Professionals in Remote ILI (In-Line Inspection) Pipeline Inspection often encounter challenges such as varying pipeline conditions, data transmission reliability, and coordinating with on-site teams from a distance. Adapting to different pipeline materials, diameters, and operational pressures requires strong technical troubleshooting skills. Effective communication with field technicians and using advanced diagnostic tools are essential to accurately interpret inspection data and resolve issues quickly. Continuous training on the latest inspection technologies and strong organizational skills can help inspectors stay effective and responsive in this dynamic environment.

What is the difference between Remote Ili Pipeline Inspection vs Remote Pipeline Technician?

AspectRemote Ili Pipeline InspectionRemote Pipeline Technician
CertificationsPipeline inspection certifications, NDT certificationsPipeline operation and maintenance certifications
Work EnvironmentRemote monitoring, data analysis, occasional site visitsFieldwork, site inspections, equipment troubleshooting
Industry UsageOil & gas, utilities, infrastructureOil & gas, utilities, infrastructure

Remote Ili Pipeline Inspection focuses on remote data analysis and inspection of pipelines using specialized tools, while Remote Pipeline Technicians perform hands-on maintenance and field inspections. Both roles are essential in pipeline safety and often overlap in industry but differ mainly in work environment and daily tasks.

How do I become a remote ili pipeline inspector?

To become a remote ILI (In-Line Inspection) pipeline inspector, candidates typically need a background in pipeline engineering, inspection, or related fields, along with knowledge of pipeline integrity and inspection tools. Relevant certifications such as API 1169 or NACE are often required, and experience with remote monitoring technologies and data analysis is beneficial. Strong attention to detail and the ability to work independently are important for remote roles.

What are the most commonly searched types of Ili Pipeline Inspection jobs in Virginia?

The most popular types of Ili Pipeline Inspection jobs in Virginia are:

What are popular job titles related to Remote Ili Pipeline Inspection jobs in Virginia?

For Remote Ili Pipeline Inspection jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Ili Pipeline Inspection jobs in Virginia look for?

The top searched job categories for Remote Ili Pipeline Inspection jobs in Virginia are:

What cities in Virginia are hiring for Remote Ili Pipeline Inspection jobs?

Cities in Virginia with the most Remote Ili Pipeline Inspection job openings:

Senior Data Engineer -- Azure / Fraud Analytics

Info Gain Consulting

Mclean, VA • On-site, Remote

$123K - $163K/yr

Full-time

Re-posted 23 hours ago


Job description

Location: Remote / Telework (U.S. based) · Occasional on-site collaboration as requested Job Type: Full-time Clearance: Must be able to obtain and maintain a Public Trust background investigation Citizenship: U.S. Citizenship requiredAbout the RoleWe are hiring a Senior Data Engineer to build and maintain the Azure-based data architecture that powers fraud analytics for a federal Office of Inspector General (OIG). You will design integrated, flexible, and secure pipelines that move source data into a modern cloud environment and make it available for audits, investigations, and machine learning.
You’ll work code-first — source control, CI/CD, and reusable modular design are core to how this team operates. If you enjoy owning architecture end to end and partnering with data scientists to make ML pipelines fast and reliable, this role is for you.What You’ll Do
  • Design, implement, and maintain an efficient, secure, stable, and flexible data architecture, with all assets managed via source control
  • Migrate source data to Azure Data Lake Storage (ADLS) and build/maintain ELT/ETL pipelines in Azure Synapse and Azure Machine Learning (SDK V1 and V2)
  • Review and improve existing architecture and pipelines — periodic audits to address bottlenecks, deprecated dependencies, and architecture drift
  • Establish quality controls, error handling, logging, and validation checks across all pipelines
  • Normalize entity attributes (addresses, phone numbers, and other common fields)
  • Optimize ingestion, processing, and storage across diverse datasets, including modern columnar formats such as Parquet
  • Build self-service capabilities so analysts can query and export data for investigations and audits
  • Partner with data scientists to ensure the architecture efficiently supports machine learning workloads
  • Author and maintain SOPs governing authoring, validation, publishing, execution, and monitoring of all pipelines and assets
  • Produce detailed documentation — data dictionaries, ER diagrams, and pipeline process maps
  • Stay current with emerging AI tooling and contribute to efforts evaluating automation and LLM-assisted capabilities
Required Qualifications
  • 5 years of hands-on experience in each of:
    • Maintaining SQL databases and conducting advanced operations in SQL and T-SQL
    • Designing, implementing, and maintaining ELT/ETL processes in cloud-based data analytics environments
  • 3 years of hands-on experience in each of:
    • Working in Azure Synapse and Azure Machine Learning with the modern data stack — certifications preferred (DP-203 or equivalent)
    • Manipulating data in Python (Pandas required; PySpark/Polars preferred; experience with reusable, modular code preferred)
Preferred
  • Implementing pipelines and infrastructure using code-first approaches (Python SDK, CLI, REST APIs, or IaC tooling)
  • Implementing source control and CI/CD workflows
  • Demonstrated familiarity with AI coding assistants and LLM integration patterns
  • Azure certification (DP-203 or equivalent)
Work Schedule & Environment
  • Core hours between 6:00 a.m. and 6:00 p.m. local time, Monday–Friday
  • Telework authorized; occasional on-site meetings and collaboration as requested
  • Government-furnished equipment provided for work on government systems
  • Federal holidays observed