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Remote Pipeline Integrity Engineer Jobs in Dallas, TX

Senior Data Engineer Remote Work *Must be a US Citizen* & have a USA Passport Primary ... Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern ...

AI Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

CI/CD Pipelines * Docker * Kubernetes * REST APIs & Microservices * Cloud Platforms (Azure / AWS / GCP) * AI Model Deployment & Productionization * Security, Privacy & Responsible AI * Problem ...

Senior Data Engineer (Remote)

Allen, TX · Remote

$110K - $130K/yr

... integrity and reliability. Responsibilities of the Senior Data Engineer Include: In our organization, success in this seat means own-and-deliver execution on these five core areas: * Pipeline ...

Kafka Engineer

Dallas, TX · Remote

$57 - $75.50/hr

Remote Duration: Long term contract Type: Only W2 (No C2C/1099) Job Summary: We are looking for a ... Monitor and troubleshoot Kafka pipelines and performance issues * Integrate Kafka with downstream ...

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview The Sr. Cloud ... This role involves developing end-to-end data pipelines, managing data lakes and lakehouse ...

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Remote Pipeline Integrity Engineer information

See Dallas, TX salary details

$95K

$137.7K

$165.7K

How much do remote pipeline integrity engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote pipeline integrity engineer in Dallas, TX is $137,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,600.00 and $165,200.00 per year, depending on experience, location, and employer.

What is a remote pipeline integrity engineer?

Remote Pipeline Integrity Engineers are specialists who monitor, assess, and ensure the safety and reliability of pipelines from a remote location. They use advanced technologies and data analysis tools to detect potential failures, corrosion, or leaks in pipelines transporting oil, gas, or other materials. Their work is critical in preventing environmental hazards and maintaining continuous operation, often collaborating closely with field teams and using software to interpret sensor data. These engineers play a vital role in maintaining infrastructure compliance with safety regulations and industry standards.

What are the key skills and qualifications needed to thrive as a remote pipeline integrity engineer?

To thrive as a Remote Pipeline Integrity Engineer, you typically need a background in engineering (usually mechanical, civil, or petroleum), experience in pipeline integrity management, and knowledge of industry regulations. Proficiency in specialized software such as GIS mapping tools, pipeline inspection data platforms, and relevant certifications like API 1169 or NACE are highly valued. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for collaborating with multidisciplinary teams and making informed decisions remotely. These capabilities are crucial for ensuring the safe, reliable, and compliant operation of pipeline infrastructure, often from off-site locations.

What are the main challenges faced by remote pipeline integrity engineers when monitoring and maintaining pipeline systems from a distance?

Remote Pipeline Integrity Engineers often encounter challenges such as limited on-site access, which can make it difficult to gather real-time data or visually inspect potential issues. They rely heavily on advanced monitoring technologies and data analytics to detect anomalies and ensure pipeline safety. Effective communication with on-site teams and rapid decision-making are essential, as engineers must coordinate maintenance and emergency responses remotely. Strong problem-solving skills and proficiency with remote sensing tools are critical to overcoming these challenges and maintaining pipeline integrity.

What is the difference between Remote Pipeline Integrity Engineer vs Pipeline Maintenance Technician?

AspectRemote Pipeline Integrity EngineerPipeline Maintenance Technician
CredentialsBachelor's in Engineering, certifications like API 1169High school diploma or technical training, certifications like NACE or API
Work EnvironmentOffice-based with field site visits, remote monitoringFieldwork at pipeline sites, maintenance and repair tasks
Industry UsageDesign, assessment, and monitoring of pipeline integrityRoutine maintenance, repairs, and inspections
Search IntentRemote pipeline integrity roles, engineering jobs in pipeline safetyPipeline repair, maintenance jobs, field technician roles

The Remote Pipeline Integrity Engineer focuses on assessing and ensuring pipeline safety through remote monitoring, data analysis, and engineering evaluations. In contrast, the Pipeline Maintenance Technician performs hands-on maintenance and repairs at pipeline sites. Both roles are essential in pipeline operations but differ mainly in their responsibilities, work environment, and required credentials.

What are popular job titles related to Remote Pipeline Integrity Engineer jobs in Dallas, TX?

For Remote Pipeline Integrity Engineer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Remote Pipeline Integrity Engineer jobs in Dallas, TX look for?

The top searched job categories for Remote Pipeline Integrity Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Remote Pipeline Integrity Engineer jobs?

Cities near Dallas, TX with the most Remote Pipeline Integrity Engineer job openings:

Infographic showing various Remote Pipeline Integrity Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $137,723 per year, or $66.2 per hour.

Senior Data Engineer - Remote

Prosper, TX • Remote

$55 - $60/hr

Full-time

Re-posted 21 days ago


Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.