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Pipeline Integrity Engineer Jobs in Michigan (NOW HIRING)

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica ... integrity are maintained at all times. The Sr. Data Engineer must be a strong problem solver and ...

PROLIM Global Corporation

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Develop and maintain ETL processes and data pipelines to streamline critical business workflows ... integrity, and SEM/SUITE compliance. * Provide technical leadership and guidance to other ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Ensures data quality, integrity, and governance across all pipelines and datasets * Manages and ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Ensures data quality, integrity, and governance across all pipelines and datasets * Manages and ... Mentors junior data engineers and provide technical guidance on best practices, including MLOps ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

... support CI/CD pipelines using Git, Jenkins, and Nexus. * Ensure data quality, integrity, and ... Mentor junior engineers and contribute to technical best practices. Required Qualifications * 8+ ...

New

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

... data integrity across integrations with Payroll, HR, and Finance systems. While Ford utilizes ... Design and maintain ETL pipelines and API integrations (REST/SOAP) * Translate union contracts ...

Dow Chemical

Machine Learning Engineer

Ithaca, MI · On-site

$120 - $180/hr

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect ... Designs and implements pipelines and other workflow infrastructure to meet the requirements for new ...

New

Dow Chemical

Machine Learning Engineer

Alma, MI · On-site

$110 - $160/hr

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect ... Designs and implements pipelines and other workflow infrastructure to meet the requirements for new ...

New

Dow Chemical

Machine Learning Engineer

Bay City, MI · On-site

$120 - $170/hr

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect ... Designs and implements pipelines and other workflow infrastructure to meet the requirements for new ...

New

Dow Chemical

Machine Learning Engineer

Gladwin, MI · On-site

$120 - $180/hr

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect ... Designs and implements pipelines and other workflow infrastructure to meet the requirements for new ...

New

Dow Chemical

Machine Learning Engineer

Mount Pleasant, MI · On-site

$130 - $185/hr

At Dow, we believe in putting people first and we're passionate about delivering integrity, respect ... Designs and implements pipelines and other workflow infrastructure to meet the requirements for new ...

New

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Design, build, and maintain data pipelines to transform raw Bronze data into curated Silver ... Ensure data quality, consistency, and integrity across datasets. * Validate Gold data against ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Design, build, and maintain data pipelines to transform raw Bronze data into curated Silver ... Ensure data quality, consistency, and integrity across datasets. * Validate Gold data against ...

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

This role will involve designing, developing, and maintaining complex data platforms, ETL pipelines ... Ensure data integrity, performance, and scalability across data warehouse environments * Apply CMM ...

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All JobsPipeline Integrity Engineer JobsPipeline Integrity Engineer Jobs in Michigan

Pipeline Integrity Engineer information

See Michigan salary details

$83.7K

$121.3K

$146K

How much do pipeline integrity engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for pipeline integrity engineer in Michigan is $121,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $145,600.00 per year, depending on experience, location, and employer.

What does a pipeline integrity engineer do?

The responsibilities of a pipeline integrity engineer revolve around ensuring that pipeline operations meet standards and requirements for safety, quality, and legality. As a pipeline integrity engineer, your duties may include performing inspections for oil, gas, or other liquid pipelines, creating technical reports, and conducting evaluations of pipeline processes in real-world conditions. Your employer expects you to have the necessary skills and knowledge for executing cost-effective inspections and tests. You must perform your job duties without adversely affecting pipeline operations.

What does a pipeline integrity engineer do?

A Pipeline Integrity Engineer is responsible for ensuring the safety, reliability, and efficiency of pipelines that transport oil, gas, or other materials. Their main tasks include monitoring pipeline conditions, assessing risks, and implementing maintenance or repair strategies to prevent leaks, corrosion, or failures. They also analyze data from inspections, use specialized software and tools, and comply with industry regulations and safety standards. By doing so, Pipeline Integrity Engineers help protect the environment, public safety, and company assets.

What are the key skills and qualifications needed to thrive as a pipeline integrity engineer, and why are they important?

To thrive as a Pipeline Integrity Engineer, you need a solid background in engineering (typically mechanical, civil, or materials), knowledge of pipeline design and corrosion principles, and a relevant engineering degree. Familiarity with integrity management software, inspection tools (like ultrasonic testing), and certifications such as API 1169 or NACE CP are commonly required. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in risk assessment and cross-functional collaboration. These competencies are crucial for ensuring the safety, reliability, and regulatory compliance of pipeline systems.

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

AspectPipeline Integrity EngineerPipeline Maintenance Technician
CredentialsBachelor's degree in engineering or related field, certifications like API 1169High school diploma or technical training, certifications like API 653 or 570
Work EnvironmentOffice-based with site visits, focus on analysis and planningFieldwork, on-site inspections, repairs and maintenance
Industry UsageDesign, assessment, and integrity management of pipelinesRoutine maintenance, repairs, and inspections of pipelines

The Pipeline Integrity Engineer focuses on assessing and ensuring the safety and reliability of pipelines through analysis and planning, often working in an office environment. In contrast, the Pipeline Maintenance Technician handles hands-on repairs and inspections in the field. Both roles are essential in pipeline operations but differ in responsibilities, credentials, and work settings.

How does a pipeline integrity engineer typically collaborate with other departments to ensure pipeline safety and compliance?

Pipeline Integrity Engineers work closely with various departments such as operations, maintenance, and regulatory compliance teams to ensure the safety and reliability of pipeline systems. They often coordinate inspections, share data on pipeline conditions, and develop mitigation strategies in partnership with field technicians and risk assessment specialists. Regular communication and teamwork are essential, as the engineer must align integrity management plans with both technical standards and regulatory requirements. This cross-functional collaboration helps in proactively identifying issues and implementing solutions that maintain compliance and operational excellence.
More about Pipeline Integrity Engineer jobs
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Pipeline Integrity Engineer jobs near you
Infographic showing various Pipeline Integrity Engineer job openings in Michigan as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 85% In-person, 10% Hybrid, and 5% Remote job distribution, with an average salary of $121,345 per year, or $58.3 per hour.

Sr. Data Engineer

BISSELL Homecare

Grand Rapids, MI • On-site

$110K - $132K/yr

Full-time

Re-posted 21 days ago

Job description

Overview
The Sr. Data Engineer will serve as a key technical contributor responsible for the design, development, and ongoing support of the company's enterprise data platform and business intelligence ecosystem. This role enables the organization to extract hidden insights from vast amounts of data-leveraging scalable ETL pipelines and cloud technologies-to empower smarter, faster decision-making across the business.
This person will lead the development of scalable ETL/ELT pipelines using IICS (Informatica Intelligent Cloud Services) and AWS services (Lambda, Glue, Redshift, Bedrock, and SageMaker). Working closely with Data Engineers, BI analysts, business stakeholders, and external consultants, this person will architect and evolve the data lake-ensuring data quality and integrity are maintained at all times. The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple concurrent projects, resolves production bugs under pressure, and translates complex business needs into scalable technical solutions.
Responsibilities
  • Lead the design and development of ETL/ELT code to integrate data into the enterprise data lake using IICSd (Informatica Intelligent Cloud Services) and AWS Glue; mentor junior engineers and contribute to platform architecture decisions with direction from the Data Engineering Lead.
  • Develop and maintain deep knowledge of the customer's business needs as they relate to data flows, data models, and BI consumption patterns.
  • Support the integration of AI and machine learning capabilities into data workflows using AWS Bedrock and SageMaker; ensure data pipelines are clean, well-structured, and optimized for analytics and AI consumption.
  • Design and implement AI-ready data pipelines-ensuring data is clean, well-structured, and optimized for downstream model training, inference, and analytics consumption.
  • Collaborate with business process owners, external consultants, and the broader business community to define, understand, and prioritize demand for process and solution changes that optimize business value and BI delivery efficiency.
  • Work closely with the Data Engineering Lead to estimate levels of effort for platform changes and partner with the business community to set priorities across multiple concurrent initiatives.
  • Own the full delivery lifecycle: participate in requirements gathering; prepare requirements documents, functional and technical designs, test scenarios, and deployment plans.
  • Manage and resolve all Data Engineering production support tickets; proactively triage and fix bugs in production pipelines, maintain SLAs, and report resolution progress to the business as requested.
  • Leverage AWS services-including Lambda, Glue, Redshift, Bedrock, and SageMaker-to build, optimize, and modernize data platform capabilities.
  • Understand where data originates and how it is used across most process areas; ensure data lineage, quality, and integrity are maintained throughout the data lifecycle.
  • Champion continuous improvement across data engineering practices, tooling, and documentation standards.
  • May be required to perform other duties as assigned.

Qualifications
REQUIRED EDUCATION AND EXPERIENCE
  • Education: or B.S. degree in Computer Information Systems, Computer Science, or related field.
  • Experience: 6+ years of hands-on experience in data engineering and ETL/ELT development is required. This includes strong proficiency in Python and GUI ETL tools such as IICS (Informatica Intelligent Cloud Services); and experience with AWS data services (Lambda, Glue, Redshift, Bedrock, SageMaker). Candidates with fewer than 6 years of relevant experience will not be considered.

REQUIRED SKILLS
  • Strong Python proficiency: ability to develop, analyze, debug, and optimize ETL pipelines, automation scripts, and data transformation logic end-to-end.
  • Hands-on experience with IICS (Informatica Intelligent Cloud Services) for enterprise-scale ETL/ELT development, maintenance, and CI/CD pipeline integration.
  • Deep AWS expertise across Lambda, Glue, Redshift, Bedrock, and SageMaker; ability to architect and deploy cloud-native data solutions.
  • Experience working with generative AI services such as AWS Bedrock or SageMaker to support AI-powered data workflows and analytics use cases.
  • Proven ability to resolve bugs and incidents in production data pipelines; conducts root-cause analysis and implements preventive controls to maintain SLA commitments.
  • Must be a strong multitasker with the ability to manage and lean into multiple concurrent projects simultaneously; quickly and accurately shifts attention among dynamic priorities, picks up new initiatives with minimal ramp-up time, and delivers results across workstreams without sacrificing quality or missing deadlines.
  • Strong critical-thinking and problem-solving skills: demonstrates a decisive, creative approach to difficult business and technical challenges; translates problems into practical, scalable solutions.
  • Ability to develop, analyze, and modify complex processes, data structures, and models.
  • Ability to create and maintain thorough documentation, including requirements, functional/technical designs, and user manuals.
  • Excellent listening, communication, interpersonal, and presentation skills; ability to work with and interview management, consultants, and subject matter experts to gather, identify, and document complex business requirements.
  • Organizational ability: demonstrates a systematic, process-oriented approach; excels at cutting through ambiguity and turning chaos into order across large, multi-stakeholder projects.
  • Client service skills: consistently provides attentive, courteous, and informed service; willing to listen and collaborate with customers; driven to deliver practical, sustainable results.
  • Quality control mindset: checks data pipelines, new data sets, and reports for errors related to both data accuracy and presentation.
  • Self-motivated, independent, and resourceful; able to plan, organize, and execute projects with minimal supervision.
  • Effective in a team-oriented environment; works collaboratively with data engineers, BI analysts, business stakeholders, and external consultants.
  • This position requires the ability to manage data flows, perform analysis, generate summary reports, and communicate by voice or data while connected from the office, at home, or while traveling by laptop or mobile device regularly without regard to time zone or day of the week.

WHAT'S NEXT, APPLY NOW!
BISSELL is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law.

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