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Contract Python Data Analysis Jobs in Portland, ME

Aperia Technologies

Solutions Engineer, Remote

Auburn, ME · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success. * Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.

Wood Plc

GIS Analyst

Portland, ME · Remote

... risk analysis and mapping) * Compile, manipulate, and refine geographic data from a variety of ... Customization of GIS software using Python * Basic proficiency in other scripting/programming ...

Summit Utilities Inc

Engineer - Integrity

Portland, ME · On-site

Proficiency in data analysis tools (advanced Excel, SQL, Python, or similar). The above statements are intended to describe the general nature and level of work being performed by employees assigned ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Portland, ME

Contract Python Data Analysis information

See Portland, ME salary details

$13

$59

$88

How much do contract python data analysis jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for contract python data analysis in Portland, ME is $59.98, according to ZipRecruiter salary data. Most workers in this role earn between $49.42 and $68.12 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python Data Analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are the key skills and qualifications needed to thrive as a Contract Python Data Analyst, and why are they important?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are Contract Python Data Analysis jobs?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Portland, ME? The most popular types of Python Data Analysis jobs in Portland, ME are:
What are popular job titles related to Contract Python Data Analysis jobs in Portland, ME? For Contract Python Data Analysis jobs in Portland, ME, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Portland, ME look for? The top searched job categories for Contract Python Data Analysis jobs in Portland, ME are:
Contract Python Data Analysis jobs near you
Staff Software Engineer | Semantic Data Lake

Staff Software Engineer | Semantic Data Lake

WEX, Inc.

Portland, ME • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

WEX Inc. rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

8th of 18 rated payment service providers

Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Seattle/WA.
About the Team/Role
WEX is reimagining its enterprise data platform with a powerful goal: transforming raw data into semantically meaningful, reusable, and trusted business assets. As a Staff Software Engineer on the Semantic Data Lake Team, you'll play a critical role in designing, building, and maintaining our core 360 data objects-such as Customer360, Fleet360, and Provider360.
These wide, entity-based tables are foundational to our analytics, AI, and product platforms. You'll implement rich transformation logic, encode business rules, and ensure data consistency across domains, making our data models both technically scalable and business-ready.
This team is at the heart of WEX's DaaS platform-bridging raw data with meaningful business insights. You'll help define and deliver the semantic backbone of our products, analytics, and machine learning systems.
We're looking for an AI-native engineer: someone who builds with modern AI coding tools (Claude, Copilot, Cursor, and similar) and Spec-Driven Development (SDD) as a core part of their daily workflow, not an occasional add-on. You'll use these tools to accelerate design, generate and refactor transformation logic, write tests, document semantics, and explore data-while applying the engineering judgment needed to ship production-grade, trustworthy data assets.
If you're excited about building semantic models that carry real-world meaning, scale to billions of records, and unify how a business understands its world-and doing it with the leverage of modern AI tooling-this is your next big move.
How you'll make an impact
  • Design and implement semantically consistent, scalable 360 data models that integrate data across domains.
  • Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets.
  • Write production-quality, testable code in SQL and Python (or equivalent)-delivering performant and maintainable data assets.
  • Leverage AI coding assistants (Claude, Copilot, Cursor, and similar) to accelerate development-drafting transformation logic, generating tests, refactoring pipelines, exploring datasets, and producing semantic documentation-while critically reviewing AI output for correctness, performance, and alignment with business rules.
  • Develop and share patterns, prompts, and workflows that help the team get more leverage out of AI tooling, raising the bar for AI-native engineering practices across the Semantic Data Team.
  • Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-ready data models.
  • Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data lineage.
  • Help define and enforce standards for data modeling, documentation, and governance within the semantic layer-including standards for responsible, auditable use of AI-generated code and artifacts.
  • Collaborate across teams to integrate with ingestion, MDM, and data product layers, and explore opportunities to expose 360 objects to LLM-powered and agentic applications.

Experience you'll bring
  • 8+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms.
  • Strong proficiency in SQL and at least one general-purpose language such as Python or Scala.
  • Demonstrated experience as an AI-native engineer-using tools like Claude, GitHub Copilot, Cursor, or similar as part of your everyday development workflow, with a clear point of view on where they accelerate your work and where human judgment is essential.
  • Comfort with modern AI engineering practices such as prompt design, context engineering, Spec-Driven Development (SDD), AI-assisted code review, and integrating LLMs or AI agents into engineering or data workflows.
  • Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects.
  • Solid understanding of data quality practices-including validation, enrichment, schema enforcement, and business rule encoding.
  • Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability.
  • Comfort operating in a collaborative, cross-functional environment, balancing business logic with platform scalability.
  • A mindset for traceability, reproducibility, and semantic clarity-you build data models others (humans and AI systems alike) can trust and reuse.

Bachelor's degree in Computer Science, Software Engineering, or related field. A Master's or PhD in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or Statistics is a big plus.
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.
Pay Range: $140,600.00 - $173,100.00

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