ZipRecruiter

Log In

1

Contract Python Data Analysis Jobs (NOW HIRING)

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 7+ years of experience with analyzing structured and ...

Nalley Consulting

Data Scientist - Sr

Arlington, VA · On-site

Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 7+ years of experience with analyzing structured and ...

Syndicus, Inc.

Data Scientist

Columbia, MD · Hybrid

Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ... We specialize in contract, contract-to-hire, and direct placement positions. We are an equal ...

Kforce Technology Staffing

Data Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Strong proficiency in Python for data manipulation and analysis; Pandas, NumPy, SciPy * Strong ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

Syndicus, Inc.

Data Scientist

San Antonio, TX · Hybrid

Strong skills in Python, especially for data manipulation (e.g., Pandas, NumPy) and machine ... We specialize in contract, contract-to-hire, and direct placement positions. We are an equal ...

next page

Showing results 1-20

All JobsContract Python Data Analysis Jobs

Contract Python Data Analysis information

See salary details

$13

$58

$86

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

As of Jul 11, 2026, the average hourly pay for contract python data analysis in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.

More about Contract Python Data Analysis jobs
What cities are hiring for Contract Python Data Analysis jobs? Cities with the most Contract Python Data Analysis job openings:
What are the most commonly searched types of Python Data Analysis jobs? The most popular types of Python Data Analysis jobs are:
What states have the most Contract Python Data Analysis jobs? States with the most job openings for Contract Python Data Analysis jobs include:
What job categories do people searching Contract Python Data Analysis jobs look for? The top searched job categories for Contract Python Data Analysis jobs are:
Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Technology Lead Python Data Engineer

Technology Lead Python Data Engineer

Citigroup, Inc.

Rutherford, NJ • On-site

$142K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Discover Your Future in Credit Risk Technology
Build systems that shape credit decisions-at scale.
Join a fast-moving Credit Risk Technology team where modern engineering, data, and AI come together to drive real-world financial impact. We operate with a startup mindset-ownership, speed, and experimentation-within the rigor and responsibility of a global financial institution. You'll help design and deliver mission-critical platforms that support credit risk assessment, analytics, and decisioning across the firm.
Job Overview
The Technology Lead Python Data Engineeris a senior engineering leadership role focused on building and evolving modern, scalable platforms for credit risk management. You will lead application design and development while partnering closely with risk, data, and platform teams to deliver systems that are performant, resilient, and compliant.
This role blends hands-on development, system architecture, technical leadership, and AI-enabled innovation, with a strong emphasis on microservices, cloud-native design, and enterprise-grade governance.
Key Responsibilities
  • Architect, design, and deliver scalable, Python-based applications supporting credit risk analytics, workflows, and reporting.
  • Partner with risk, product, and technology leadership to integrate platforms, identify enhancements, and enable new products and process improvements.
  • Resolve high-impact, complex initiatives through deep analysis of business processes, system flows, and industry standards.
  • Ensure solutions adhere to enterprise architecture, data, security, and infrastructure blueprints.
  • Establish and enforce engineering standards for coding, testing, CI/CD, debugging, and production readiness.
  • Design and evolve microservices-based architectures, ensuring scalability, resiliency, observability, and maintainability.
  • Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights in credit risk.
  • Serve as technical leader and mentor, coaching mid-level engineers and analysts and allocating work as needed.
  • Apply sound risk and control judgment, ensuring compliance with laws, regulations, and policies while safeguarding clients, data, and the firm.

How You'll Work
  • Operate with a startup mindset: ownership, bias for action, and pragmatic innovation.
  • Deliver with enterprise discipline: stability, controls, transparency, and audit readiness.
  • Balance experimentation with responsibility in a high-trust, high-impact environment.
  • Adapt quickly as priorities change while maintaining long-term system integrity.

Core Technical Skills
  • 10-15 years of experience in application development or systems engineering within complex environments.
  • Advanced proficiency in Python and SQL, with strong software engineering fundamentals.
  • Hands-on experience building API-driven services using FastAPI, Pydantic, and/or Django.
  • Proven expertise designing and implementing microservices architectures, including service decomposition, inter-service communication, resiliency patterns, and observability.
  • Strong experience with Docker and Kubernetes, deploying and operating containerized services in production.
  • Deep understanding of system architecture, data flows, and distributed systems.
  • Experience working in Linux environments, including shell scripting and operational troubleshooting.
  • Strong track record implementing unit testing, TDD, and automated quality controls.
  • Subject Matter Expert (SME) in at least one application, platform, or service domain.

AI & Modern Engineering Tools
  • Working knowledge of large language models (LLMs) and modern AI platforms from leading providers such as OpenAI, Anthropic, Google, and Meta.
  • Experience designing or contributing to LLM-enabled solutions (e.g., copilots, workflow automation, analytics augmentation).
  • Familiarity with prompt engineering, model integration patterns, and AI governance considerations in enterprise environments.
  • Exposure to modern "vibe coding" practices-leveraging AI-assisted tooling to accelerate development, experimentation, and problem solving while maintaining engineering rigor.

Bonus / Differentiating Skills
  • Experience with distributed data and compute platforms (e.g., Spark, PySpark, Hadoop, Hive).
  • Hands-on experience with graph databases, particularly Neo4j, for network, relationship, or dependency-driven use cases.
  • Background in credit risk, financial risk management, or banking platforms.
  • Experience modernizing or decomposing legacy monolithic systems in large enterprises.
  • Proven delivery of GenAI / AI-driven solutions in regulated or large-scale environments.

Education
  • Bachelor's degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related STEM field.
  • Master's degree preferred.

Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Rutherford New Jersey United States
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
May 28, 2026
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.

Apply