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Contract Python Data Analysis Jobs in Virginia Beach, VA

Varsity Tutors

Data Analysis Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Varsity Tutors

Data Analysis Tutor

Norfolk, VA · Remote

$18 - $40/hr

What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Ignite Digital

Data Analyst

Chesapeake, VA

$90K/yr

Ignite Digital is seeking a MidLevel Data Analyst to support a US Navy data analytics, cloud ... Conduct statistical analysis and develop predictive models using R or Python. * Communicate ...

Ignite Digital

Senior Data Analyst

Chesapeake, VA

$100K/yr

Ignite Digital is seeking an experienced Senior Data Analyst to lead advanced analytics efforts ... Conduct complex statistical analysis and develop predictive models using R or Python. * Present ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

... as R, Python, SAS, SPSS, STATA, Tableau, and PowerBI to support data analysis and reporting ... Compensation for this position is based on several considerations, including applicable contract ...

AERMOR LLC

Data Engineer

Norfolk, VA · On-site

$90K - $125K/yr

... as R, Python, SAS, SPSS, STATA, Tableau, and PowerBI to support data analysis and reporting ... Compensation for this position is based on several considerations, including applicable contract ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Virginia Beach, VA

Contract Python Data Analysis information

See Virginia Beach, VA salary details

$12

$55

$81

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

As of Aug 6, 2026, the average hourly pay for contract python data analysis in Virginia Beach, VA is $55.63, according to ZipRecruiter salary data. Most workers in this role earn between $45.87 and $63.17 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?

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 is a contract Python data analysis job?

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 Virginia Beach, VA? The most popular types of Python Data Analysis jobs in Virginia Beach, VA are:
What are popular job titles related to Contract Python Data Analysis jobs in Virginia Beach, VA? For Contract Python Data Analysis jobs in Virginia Beach, VA, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Virginia Beach, VA look for? The top searched job categories for Contract Python Data Analysis jobs in Virginia Beach, VA are:
What cities near Virginia Beach, VA are hiring for Contract Python Data Analysis jobs? Cities near Virginia Beach, VA with the most Contract Python Data Analysis job openings:
Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Virginia Beach, VA 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, with an average salary of $115,717 per year, or $55.6 per hour.

Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Re-posted 19 days ago

Job description

Python Data Scientist / Data Engineer

Python Data Scientist / Data Engineer (PySpark, ETL, Notebooks, Databricks) Summary We're hiring a versatile Python Data Scientist / Data Engineer to design, implement, and productionize scalable data pipelines and analytics workflows.

The role requires deep PySpark experience, strong ETL design, experience with interactive notebooks, and familiarity with Databricks or similar managed Spark platforms.

Key responsibilities

* Design and build robust ETL/ELT pipelines using PySpark for batch and near-real-time workflows.

* Develop, optimize, and schedule Spark jobs on Databricks (or equivalent Spark environment).

* Work with data scientists and product teams to transform business requirements into data models, features, and dashboards.

* Implement data validation, monitoring, and lineage to ensure data quality and reliability.

* Create reproducible notebooks for exploration, prototyping, and handoff to production pipelines.

* Tune performance of Spark jobs (memory, partitioning, shuffle reduction) and optimize cluster usage.

* Collaborate on building CI/CD for data workflows, including tests for data transformations and schema changes.

* Document architecture, ETL processes, and best practices.

Required qualifications

* 3+ years experience in data engineering, data science, or analytics engineering roles.

* Strong Python programming and hands-n PySpark experience developing data transformations at scale.

* Experience with Databricks (jobs, clusters, Delta Lake) or equivalent managed Spark platforms.

* Solid understanding of ETL/ELT patterns, data modeling, and data warehousing concepts.

* Comfortable using Jupyter or Databricks notebooks for exploration and prototyping.

* Experience with SQL and working knowledge of cloud data storage systems (S3, ADLS) and databases.

* Familiarity with orchestration tools (Airflow, Prefect, Dagster) and awareness of CI/CD for data pipelines.