1

Data Engineer Jobs in Maine (NOW HIRING)

Data Scientist - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Data Scientist - FCRM

Portland, ME · On-site

$96K - $155K/yr

Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract ...

Principal Data Architect

Westbrook, ME · On-site

$115K - $157K/yr

Partnering with stakeholders in Product, Engineering, Sales, Marketing, and Finance, you will set the standards, patterns, and governance that make VetSoft data trustworthy, performant, and cost ...

Partner with Performance & Insights consultants, social analytics experts, paid media leads, digital account managers, and data/engineering partners to move ideas from ambiguity to useful output.

Programming & Process automation: Experience with file I/O, database integrations, and APIs to ... Data Visualization: Expertise on at least one visualization tool with working knowledge of others ...

Responsibilities : • Perform data cleaning, exploratory data analysis (EDA), and feature engineering. • Train, evaluate, and compare machine learning models under supervision. • Assist with ...

Data Scientist

Portland, ME · On-site

$87K - $123K/yr

D. (optional) in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field. * 0-2 years of industry, research, or applied project experience in data science or ...

Showing results 21-40

Data Engineer information

See Maine salary details

$43.1K

$125.6K

$171.9K

How much do data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer in Maine is $125,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $133,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

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

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Maine? The most popular types of Data Engineer jobs in Maine are:
What are popular job titles related to Data Engineer jobs in Maine? For Data Engineer jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Maine look for? The top searched job categories for Data Engineer jobs in Maine are:
What cities in Maine are hiring for Data Engineer jobs? Cities in Maine with the most Data Engineer job openings:
What are popular job titles related to Data Engineer jobs in ME? For Data Engineer jobs in ME, the most frequently searched job titles are:
Infographic showing various Data Engineer job openings in Maine as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,591 per year, or $60.4 per hour.

DLP (Data Loss Prevention) Platform Engineer

IDEXX Laboratories

Westbrook, ME • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


IDEXX Laboratories rating

7.4

Company rating: 7.4 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

69th of 120 rated laboratories


Job description

The DLP Platform Engineer is responsible for designing, implementing, and maturing enterprise Data Loss Prevention (DLP) and CASB controls across IDEXX's collaboration and user platforms, including M365, Box, and endpoint/web exfiltration channels. This role ensures that DLP controls are deployed correctly, integrated across systems, and tuned for effectiveness and usability at scale, enabling measurable reduction in data loss and oversharing risk.

This is a hands-on engineering leadership role focused on the how of DLP capability delivery and control effectiveness-working closely with the Data Security Program Lead, Data Security Architect, Cyber Defense/SOC, and IT platform teams.

In this role, you will be responsible for...

DLP / CASB Platform Implementation
  • Lead engineering for end-to-end implementation of the CASB/DLP solution across M365 (Exchange, SharePoint, OneDrive, Teams) and Box (internal/external collaboration), including phased rollout and deployment readiness.
  • Establish a policy lifecycle and deployment approach (e.g., detect educate/warn block) aligned to business risk and adoption goals.
  • Implement core detection models for IDEXX-relevant data types (e.g., regulated data, customer data, financial data, IP) using built-in and custom classifiers/regex as appropriate.
  • Define and implement channel coverage for exfiltration paths (email, cloud sharing, web upload, removable media where applicable) in coordination with endpoint and browser controls.
Policy Design, Tuning & Effectiveness
  • Translate data classification and handling requirements into high-confidence DLP policies that are actionable and enforceable across platforms.
  • Continuously tune policies to improve signal quality (reduce false positives, increase true positives) and minimize user friction.
  • Establish metrics and dashboards for control performance (alert volume, false positive rate, high-confidence detections, and trend-based risk reduction).
  • Partner with stakeholders to implement user-facing controls (coaching, justification prompts, approvals) before enabling block actions broadly.
Integration & Operationalization with the SOC
  • Integrate DLP alerts and telemetry into the SOC toolchain (SIEM/Case management) to enable triage, investigation, and escalation workflows.
  • Develop and maintain DLP-related detection logic, routing, and severity models so SOC investigations are consistent and efficient.
  • Support creation of playbooks for common scenarios (mass external sharing, mass download, suspicious upload, risky OAuth app activity where applicable), including evidence sources and response actions.
  • Establish a feedback loop with SOC and Data Security Operations to refine policies based on incident patterns and operational findings.
Cross-Functional Collaboration
  • Partner with the Data Security Program Lead to deliver roadmap milestones and ensure stakeholder alignment across IT, Data Engineering, and Security Operations.
  • Partner with the Data Security Architect to align DLP policy design to enterprise control patterns and data management standards.
  • Coordinate with End User Computing / M365 platform teams and Box administration to deploy controls safely and minimize disruption to business workflows.
Continuous Improvement & Expansion
  • Expand DLP coverage over time to additional channels and SaaS applications as prioritized by the Data Security roadmap and DSPM findings.
  • Identify automation opportunities for policy deployment, exception handling, and reporting to reduce operational overhead.
  • Continuously evaluate product capabilities and recommend improvements to increase protection coverage and reduce data loss risk.

What you will need to succeed...

  • 5-7+ years of experience in security engineering, data protection, security operations engineering, or related fields.
  • Demonstrated experience implementing enterprise DLP/CASB solutions in complex environments. Hands-on expertise with DLP/CASB technologies (e.g., Microsoft Purview/M365 DLP, Zscaler, Netskope, or comparable platforms).
  • Location: We are looking for someone driving distance to our Westbrook, Maine HQ for a flexible hybrid on-site requirement of 8 days per month. Alternatively, we are open to those in NH or ME who can visit our HQ less often.
  • Strong understanding of common data exfiltration paths and user behavior patterns across email, collaboration, web, and endpoint channels.
  • Ability to implement and tune data classifiers (built-in and custom), including pattern/regex-based detection where needed.
  • Experience delivering security controls across collaboration ecosystems (M365 strongly preferred; Box or similar SaaS collaboration platforms).
  • Experience integrating detections and alerts into SOC workflows (SIEM, case management, escalation processes).
  • Working familiarity with identity and access signals (e.g., Entra ID) that influence DLP policy enforcement and investigation context.
  • Familiarity with cloud environments and SaaS security principles (AWS preferred; Azure/GCP familiarity a plus).
  • Bachelor's degree in Computer Science, Cybersecurity, Engineering, or related technical field; or equivalent professional experience.
  • Strong ownership mentality with a bias toward action and measurable outcomes.
  • Ability to balance security enforcement with user experience to drive adoption and reduce workarounds.
  • Strong collaboration skills across security, IT, and engineering teams; effective at influencing without authority.
  • Ability to communicate technical control intent, tradeoffs, and operational impacts to technical and non-technical audiences.

If you had any of these experiences, it would be a plus...

  • Experience deploying DLP controls across M365 + Box in an enterprise environment.
  • Experience implementing DLP alongside data classification and governance programs.
  • Experience with endpoint/browser controls and integration with EDR/XDR toolsets.
  • Relevant certifications (e.g., CISSP, CCSP, Microsoft Security, vendor-specific DLP/CASB certifications).

What you can expect from us:
Base annual salary target: $110000 - $125000 (yes, we do have flexibility if needed)
Opportunity for annual cash bonus
Health / Dental / Vision Benefits Day-One
5% matching 401k
Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more!

Why IDEXX?

We're proud of the work we do, because our work matters. An innovation leader in every industry we serve, we follow our Purpose and Guiding Principles to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from diseases. We have customers in over 175 countries and a global workforce of over 10,000 talented people.
So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that embraces challenges and encourages learning and discovery. At IDEXX, you will be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement.
Let's pursue what matters together.

IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.
IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.

#LI-EV1


What IDEXX Laboratories employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom