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Data Integrity Engineer Jobs in Maine (NOW HIRING)

Data Engineer

Mexico, ME · On-site

$119K - $143K/yr

Able to maintain discretion and integrity of confidential information. * Resourceful and able to ... Bachelor's degree in data engineering or at least 8+ years of comparable professional experience in ...

Implement and manage backup and recovery strategies to safeguard data integrity. * Security: Ensure ... Minimum of 2-3 years of experience in database engineer, with a focus on cloud hosted databases:

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Data Integrity Engineer information

What is a data integrity engineer?

Data Integrity Engineers are professionals responsible for ensuring the accuracy, consistency, and reliability of data within an organization’s systems. They design and implement processes to prevent data corruption, loss, or unauthorized modification. These engineers work closely with database administrators, data analysts, and IT teams to monitor data flows, validate data quality, and enforce data governance policies. Their role is crucial in industries where high-quality data is essential for decision-making, compliance, and operational efficiency.

What are some common challenges data integrity engineers face when ensuring data quality across large, complex systems?

Data Integrity Engineers often encounter challenges such as managing data consistency across multiple databases, identifying and resolving discrepancies caused by data migrations, and ensuring compliance with regulatory standards. Additionally, they must frequently collaborate with software developers and database administrators to implement automated validation processes and address data anomalies promptly. Staying updated with evolving best practices and tools is crucial, as data environments and requirements can change rapidly in large organizations.

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

To thrive as a Data Integrity Engineer, you need strong analytical skills, a background in computer science or information systems, and experience with data management principles. Familiarity with database platforms (such as SQL), data validation tools, and knowledge of regulatory compliance standards are typically required. Attention to detail, problem-solving ability, and effective communication help ensure data accuracy and facilitate collaboration across teams. These skills are critical for maintaining reliable, secure, and compliant data systems that support informed business decisions.

What is the difference between Data Integrity Engineer vs Data Quality Analyst?

AspectData Integrity EngineerData Quality Analyst
Primary FocusEnsuring accuracy, consistency, and security of data across systemsAssessing and improving data quality, completeness, and usability
Skills & CertificationsDatabase management, SQL, data governance, certifications like CDMPData analysis, data profiling, quality frameworks, certifications like CDMP
Work EnvironmentIT teams, data engineering, database administrationBusiness analysis, data analysis teams, quality assurance
Industry UsageTech, finance, healthcare, where data security is criticalRetail, marketing, finance, focusing on data usability

While both roles focus on data, Data Integrity Engineers primarily ensure data security and consistency across systems, whereas Data Quality Analysts focus on assessing and improving data quality for business insights. Both roles often collaborate but serve distinct functions within data management.

What are popular job titles related to Data Integrity Engineer jobs in Maine?

For Data Integrity Engineer jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Data Integrity Engineer jobs in Maine look for?

The top searched job categories for Data Integrity Engineer jobs in Maine are:

What cities in Maine are hiring for Data Integrity Engineer jobs?

Cities in Maine with the most Data Integrity Engineer job openings:

Infographic showing various Data Integrity Engineer job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Supply Chain Data Process Engineer

General Dynamics - Bath Iron Works

Bath, ME • On-site

$79K - $100K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 13 days ago


General Dynamics Bath Iron Works rating

8.5

Company rating: 8.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

We offer a competitive salary for this role, with an expected range of $79,500 – $100,700/yr. The final offer will depend on your experience, skills, and overall qualifications. General Dynamics – Bath Iron Works also provides a variety of benefits including medical & dental insurance coverage, 401(k) retirement savings plan, flexible spending accounts/HSAs, life and disability insurance, company paid holidays, paid time off (PTO), health coaching, athletic trainers, employee assistance programs and onsite health services.

Bath Iron Works (BIW), a General Dynamics company, is seeking a highly driven, inquisitive, and technically skilled individual to join our supply chain team as a Data Process Engineer. This role is ideal for someone who is naturally curious, persistent in problem solving, and motivated to follow complex data issues through to full resolution.  The Data Process Engineer will work closely with the Supply Chain organization, embedding within their daily operations to understand processes, identify data sources, and design desktop-level applications, tools, and analytics that streamline workload and enhance decision-making.

 

Key Responsibilities:

Data Analysis & Application Development:

  • Analyze supply chain processes to identify pain points, inefficiencies, and automation opportunities.
  • Develop desktop tools, dashboards, and applications using MS Access, Excel, Power BI, and/or Tableau to support Supply Chain Specialists in daily tasks.
  • Investigate data issues thoroughly and persistently until root causes are identified and resolved.
  • Build repeatable, reliable data flows that provide users with accurate, timely information.

Collaboration & Process Learning:

  • Embed within Supply Chain teams to deeply understand workflows, constraints, and dependencies.
  • Learn and document data sources, data structures, and system interactions relevant to operational processes.
  • Partner with stakeholders to translate business needs into sustainable technical solutions.
  • Communicate findings, tool functionality, and recommendations in clear, accessible terms.

Continuous Improvement:

  • Continuously evaluate data processes for improvement opportunities around accuracy, speed, or usability.
  • Proactively propose and implement enhancements that improve data integrity and reduce manual workload.
  • Seek innovative solutions to support Supply Chain performance in Safety, Quality, Schedule, Cost, and People.

  • Bachelor’s degree in Engineering, Data Analytics, Computer Science, or other relevant technical field required.

Required:

  • Strong curiosity and a natural drive to resolve problems thoroughly and accurately.
  • Technical proficiency with MS Access, MS Excel, Power BI, and Tableau.
  • Strong analytical and problemsolving skills, including the ability to work with complex or incomplete datasets.
  • Ability to learn new processes, systems, and data environments quickly and independently.
  • Excellent communication and interpersonal skills to work effectively with Supply Chain partners and other stakeholders including engineering, design, and planning.
  • Strong organizational and timemanagement skills, with the ability to prioritize multiple efforts simultaneously.
  • High attention to detail and a commitment to data accuracy and solution reliability.

Preferred:

  • 2 years of experience supporting supply chain, operations, planning, or related functions.
  • 2 years of experience developing small-scale applications, dashboards, macros, or automated processes.

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