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Data Integrity Engineer Jobs in Portland, ME (NOW HIRING)

Spark Tek Inc

Data Modeler

Freeport, ME · On-site

$56.75 - $73.50/hr

... data engineers to translate models into efficient BigQuery implementations (partitioning ... integrity, consistency, and governance across datasets. • Work with Data Governance teams to ...

Wood Plc

GIS Analyst

Portland, ME · Remote

Perform regular quality control checks of spatial and non-spatial datasets to ensure data integrity ... Customize GIS workflow and software programs for data collection, engineering, and environmental ...

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All JobsData Integrity Engineer JobsData Integrity Engineer Jobs in Portland, ME

Data Integrity Engineer information

See Portland, ME salary details

$45.5K

$132.7K

$181.6K

How much do data integrity engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data integrity engineer in Portland, ME is $132,715.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,100.00 and $140,700.00 per year, depending on experience, location, and employer.

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 Portland, ME?

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

What job categories do people searching Data Integrity Engineer jobs in Portland, ME look for?

The top searched job categories for Data Integrity Engineer jobs in Portland, ME are:

Data Integrity Engineer jobs near you

Data Modeler

Freeport, ME • On-site

Spark Tek Inc
See more jobs at Spark Tek Incexternal

$56.75 - $73.50/hr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Spark Tek Inc is seeking an experienced Data Modeler to support the Enterprise Data Platform initiative, focusing on building and optimizing curated data assets on Google BigQuery. The role involves designing data models, ensuring data governance, and collaborating with technical and business teams to meet data needs.
Responsibilities:
• Design logical, conceptual, and physical data models for EDP’s curated layer in BigQuery.
• Develop fact and dimension tables, ensuring adherence to dimensional modeling best practices (Kimball methodology).
• Optimize data models for performance, scalability, and query efficiency in a cloud-native environment.
• Work closely with data engineers to translate models into efficient BigQuery implementations (partitioning, clustering, materialized views).
• Define and maintain data definitions, relationships, and business rules for curated assets.
• Ensure data integrity, consistency, and governance across datasets.
• Work with Data Governance teams to align models with enterprise data standards and metadata management policies.
• Engage with business analysts and product teams to understand data needs, ensuring models align with business requirements.
• Partner with data engineers and architects to implement best practices for data ingestion and transformation.
• Support BI & analytics teams by ensuring curated models are optimized for downstream consumption (e.g., Looker, Tableau, Power BI, AI/ML models, APIs).
Qualifications:
Required:
• 5+ years of experience in data modeling and architecture in cloud data platforms (BigQuery preferred).
• Expertise in dimensional modeling (Kimball), data vault, and normalization/denormalization techniques.
• Strong SQL skills, with hands-on experience in BigQuery performance tuning (partitioning, clustering, query optimization).
• Understanding of retail data models (e.g., sales, inventory, pricing, supply chain, customer analytics).
• Experience working with data engineering teams to implement models in ETL/ELT pipelines.
• Familiarity with data governance, metadata management, and data cataloging.
• Excellent communication skills and ability to translate business needs into structured data models.
Preferred:
• Prior experience working in retail or e-commerce data environments.
• Exposure to modern data architectures (data lakehouse, event-driven data processing).
• Familiarity with GCP ecosystem (Dataflow, Pub/Sub, Cloud Storage) and BigQuery security best practices.
Company:
Spark Tek Inc offers IT solutions and consultancy services, specializing in IT services and consulting for various industries. Founded in 2021, the company is headquartered in Farmers Branch, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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