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Python Data Analysis Internship Jobs in New Jersey

Diverse Lynx

Pyspark/Python Data Engineer

Edison, NJ · On-site

$116K - $139K/yr

PySpark /Python Data Engineer Must Have Technical/Functional Skills We are looking for a skilled ... Good working knowledge of SQL for data transformation and analysis * Experience with data ...

SynergisticIT

Entry Level Python Developer

Union City, NJ · On-site

$55 - $75.75/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. We ...

SynergisticIT

Entry Level Python Developer

West New York, NJ · On-site

$54.50 - $75/hr

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, data analysts/data scientists. We welcome candidates with all visas and citizens to apply. We ...

SRP Systems Inc

Senior Python/Spark developer

Princeton, NJ

$127K - $171K/yr

Good data analysis skills * Any experience with Spark or Hadoop is a plus In this position, you will work as a senior Python developer and also as a data analyst, which involves reviewing data in our ...

SRP Systems Inc

Senior Python/Spark developer

Princeton, NJ · On-site

$127K - $171K/yr

Good data analysis skills * Any experience with Spark or Hadoop is a plus In this position, you will work as a senior Python developer and also as a data analyst, which involves reviewing data in our ...

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Python Data Analysis Internship information

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

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

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What are the most commonly searched types of Python Data Analysis jobs in New Jersey? The most popular types of Python Data Analysis jobs in New Jersey are:
What are popular job titles related to Python Data Analysis Internship jobs in New Jersey? For Python Data Analysis Internship jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in New Jersey look for? The top searched job categories for Python Data Analysis Internship jobs in New Jersey are:
What cities in New Jersey are hiring for Python Data Analysis Internship jobs? Cities in New Jersey with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you
Pyspark/Python Data Engineer

Pyspark/Python Data Engineer

Diverse Lynx

Edison, NJ • On-site

$116K - $139K/yr

Other

Posted 16 days ago

Job description

PySpark /Python Data Engineer

Job Description Must Have Technical/Functional Skills We are looking for a skilled PySpark Data Engineer with strong hands-on experience in PySpark and Python to design, build, and optimize scalable data processing pipelines. The ideal candidate will have practical experience working with distributed data processing and a solid foundation in writing efficient, production-grade Python code.

Required Technical Skills:

  • 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

Preferred Skills (Good to Have):

  • 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

Experience:

  • 3–8 years of experience in Data Engineering / PySpark development
  • Proven hands-on project experience in PySpark + Python

Roles & 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

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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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

Social media

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