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Python Data Analysis Jobs in New York (NOW HIRING)

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

... teams (Data Analysts, Architects, DevOps) • Contribute to CI/CD pipelines and deployment ... in Python (data processing, performance tuning, modular coding) • Solid understanding of ETL ...

Strong SQL skills with working knowledge of Python * Experience with QA/UAT and data validation ... reporting and business analysis * Strong stakeholder communication and cross-functional ...

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 ...

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 ...

They leverage Python's capabilities to handle complex calculations, automate processes, and analyze vast amounts of data. Location: Charlotte, NC & NJ (Onsite) And Dallas TX Pay rate- $60 (Max) No of ...

Python Developer

New York, NY

$55 - $75.75/hr

Candidate will ideally be someone who has experience with the use of Python in the data analysis/big data and ideally, econometrics spaces particularly has experience with Risk Analytics programming.

Be Seen First

... Python or R. * Contribute to statistical analysis, hypothesis testing, and predictive modeling to support business objectives. Market Trends and Insights: * Conduct exploratory data analysis to ...

Engineer will provide the Quant Data API for historical and real-time Bars data used to analyze ... Past experience building Python data APIs * Experience writing data validations in Python

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Python Data Analysis information

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How much do python data analysis jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python data analysis in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

What are the most commonly searched types of Python Data Analysis jobs in New York? The most popular types of Python Data Analysis jobs in New York are:
What are popular job titles related to Python Data Analysis jobs in New York? For Python Data Analysis jobs in New York, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in New York look for? The top searched job categories for Python Data Analysis jobs in New York are:
What cities in New York are hiring for Python Data Analysis jobs? Cities in New York with the most Python Data Analysis job openings:
Pyspark/Python Data Engineer

Pyspark/Python Data Engineer

Diverse Lynx

Edison, NJ • On-site

$116K - $139K/yr

Full-time

Posted 7 days ago


Job description

Job Summary:
Diverse Lynx is a company seeking a Pyspark/Python Data Engineer to design, develop, and maintain ETL/ELT pipelines. The role involves writing optimized PySpark transformations, ensuring data quality, and collaborating with cross-functional teams.
Responsibilities:
• Design, develop, and maintain ETL/ELT pipelines using PySpark
• Write optimized and scalable PySpark transformations using DataFrames and Spark SQL
• Develop reusable and efficient Python-based data processing components
• Ensure data quality, integrity, and performance across pipelines
• Perform debugging, performance tuning, and optimization of PySpark jobs
• Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)
• Contribute to CI/CD pipelines and deployment workflows for data applications
• Monitor and troubleshoot data workloads in production environments
Qualifications:
Required:
• Strong hands-on experience in PySpark (Spark SQL, DataFrame API)
• Advanced proficiency in Python (data processing, performance tuning, modular coding)
• Solid understanding of ETL design patterns and data pipeline architecture
• Good working knowledge of SQL for data transformation and analysis
• Experience with data processing in distributed environments
• 3–8 years of experience in Data Engineering / PySpark development
• Proven hands-on project experience in PySpark + Python
Preferred:
• Experience with cloud platforms (AWS preferred – S3, Glue, EMR or equivalent services)
• Familiarity with workflow orchestration tools such as Airflow or similar schedulers
• Exposure to data warehousing concepts (e.g., Snowflake or similar platforms)
• Knowledge of code versioning (Git) and CI/CD practices
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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