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Contract Python Data Analysis Jobs in Brooklyn, NY

Python Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Required : • 5+ years applied experience • bachelor's degree required • Python Programming • Strong skills around object-oriented analysis and design (OOAD) • data structures • algorithms ...

Manager, Data Analysis

Manhattan, NY · On-site

$179.70 - $205.10/hr

Manager, Data Analysis At Capital One, data is at the center of everything we do. When we launched ... At least 4 years of experience with Python, R, Spark or SQL * At least 1 year of experience in ...

Data Analysis Tutor

Paramus, NJ · 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 ...

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Contract Python Data Analysis information

See Brooklyn, NY salary details

$13

$61

$90

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

As of Aug 31, 2026, the average hourly pay for contract python data analysis in Brooklyn, NY is $61.64, according to ZipRecruiter salary data. Most workers in this role earn between $50.82 and $70.00 per hour, depending on experience, location, and employer.

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 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 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 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 Brooklyn, NY?

The most popular types of Python Data Analysis jobs in Brooklyn, NY are:

What are popular job titles related to Contract Python Data Analysis jobs in Brooklyn, NY?

For Contract Python Data Analysis jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Contract Python Data Analysis jobs in Brooklyn, NY look for?

The top searched job categories for Contract Python Data Analysis jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Contract Python Data Analysis jobs?

Cities near Brooklyn, NY with the most Contract Python Data Analysis job openings:

Infographic showing various Contract Python Data Analysis job openings in Brooklyn, NY 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 $128,213 per year, or $61.6 per hour.

Python Data Engineer

Jersey City, NJ • On-site

Syntricate Technologies
IT Services • 51 - 200 employees

$125K - $150K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Syntricate Technologies is seeking a Python Data Engineer to join their team. The role involves developing data pipelines and migrating systems to AWS, requiring strong skills in Python, PySpark, and SQL.
Responsibilities:
• Will be creating a pipeline and writing in Pyspark – Migrating from legacy platform to new platform
• This is an AWS Migration project – MUST BE STRONG IN AWS. Databricks is a plus, if it's on the resume they MUST be able to speak to it
• Should have Datalake Experience
Qualifications:
Required:
• 5+ years applied experience
• bachelor's degree required
• Python Programming
• Strong skills around object-oriented analysis and design (OOAD)
• data structures
• algorithms
• design patterns
• Hands-on practical experience in system design
• application development
• testing
• operational stability
• Advanced understanding of agile methodologies such as CI/CD
• Application Resiliency
• Security
• Proficient in coding in Python
• PySpark
• Java 17/21
• Spring Boot
• SQL Databases
• Prior hands-on experience in Cloud technologies - AWS, AZURE
• Strong in Python, Spark, Pyspark, AWS, SQL
• Strong in SQL
• Creating a pipeline and writing in Pyspark
• Migrating from legacy platform to new platform
• MUST BE STRONG IN AWS
• Datalake Experience
• Leads MUST be strong in both java & Pyspark (Python + Spark) – 70% Pyspark – 30% Java
• Other 3 resources need to be strong in Python/Spark/Pyspark
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.