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Entry Level Python Jobs in East Brunswick, NJ (NOW HIRING)

ETL Engineer

New York, NY ยท On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets ... Programing in Python or Scala for data processing If you do not have ETL + SQL + ClickHouse ...

... languages such as Python and C++ to build robust data models - Managing data pipelines and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Java, Python, and JavaScript for application development - Managing continuous integration and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Python information

See East Brunswick, NJ salary details

$13

$58

$85

How much do entry level python jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level python in East Brunswick, NJ is $58.34, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $66.25 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level Python developer, and why are they important?

To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or related fields. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to development environments such as PyCharm or VS Code are often expected. Strong communication, eagerness to learn, and teamwork skills help you adapt quickly and collaborate effectively with peers. These skills ensure you can contribute to projects, learn from feedback, and grow within dynamic software development teams.

What is the difference between Entry Level Python vs Data Analyst?

AspectEntry Level PythonData Analyst
Required SkillsBasic Python programming, problem-solvingData visualization, SQL, Excel, some Python
CertificationsPython for Beginners, Entry-Level ProgrammingGoogle Data Analytics, Microsoft Excel Certification
Work EnvironmentTech companies, startups, software teamsBusiness, finance, marketing departments
Industry UsageSoftware development, automation, scriptingData analysis, reporting, decision-making

Entry Level Python roles focus on basic programming skills and scripting, often within tech environments. Data Analysts combine Python with data visualization and SQL skills to interpret data for business insights. While both roles require some programming knowledge, Data Analysts typically have broader skills in data handling and reporting, making them more versatile in data-driven industries.

What are some common challenges faced by entry level Python developers in their first role?

Entry level Python developers often encounter challenges such as understanding legacy codebases, adapting to team coding standards, and effectively using version control systems like Git. Additionally, they may need to quickly learn new frameworks or tools relevant to the project. Collaborating with more experienced developers and asking questions is key to overcoming these hurdles and growing technical skills.

What is an entry level Python job?

Entry-Level Python positions can be found in multiple industries because Python is a general-purpose language. The company you work for may shape your development, but your general responsibilities include programming software, writing code, and building web applications. Your duties have you working hands-on with Python to analyze, identify, and develop sourced data. You program efficient approaches to process data and test and troubleshoot systems. In an entry level Python position, you work under higher level programmers and assist with improvements while gaining valuable experience to enhance your skills.

Is Entry Level Python in demand in 2026?

Entry level Python roles are expected to remain in demand in 2026 due to Python's widespread use in data analysis, automation, and web development. Employers seek candidates with basic programming skills, knowledge of libraries like Pandas or Flask, and the ability to learn new tools quickly, making it a valuable entry point into tech careers.

What does an entry level Python developer do?

An Entry Level Python developer is responsible for writing, testing, and debugging code using the Python programming language. They typically assist in building and maintaining software applications, automating simple tasks, and supporting senior developers in various projects. Entry-level roles are ideal for those new to the field and often focus on learning best coding practices and gaining real-world experience through hands-on projects.
What are the most commonly searched types of Python jobs in East Brunswick, NJ? The most popular types of Python jobs in East Brunswick, NJ are:
What are popular job titles related to Entry Level Python jobs in East Brunswick, NJ? For Entry Level Python jobs in East Brunswick, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Python jobs in East Brunswick, NJ look for? The top searched job categories for Entry Level Python jobs in East Brunswick, NJ are:
What cities near East Brunswick, NJ are hiring for Entry Level Python jobs? Cities near East Brunswick, NJ with the most Entry Level Python job openings:
Infographic showing various Entry Level Python job openings in East Brunswick, NJ as of August 2026, with employment types broken down into 2% Internship, 86% Full Time, 6% Part Time, and 6% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $121,351 per year, or $58.3 per hour.

ETL Engineer

MedReview

New York, NY โ€ข On-site

$120/hr

Full-time

Re-posted 21 days ago


Job description

Position Summary:
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing.
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K
Responsibilities:
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence.
  • Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks
  • Build and optimize ClickHouse ingestion pipelines (batch + streaming)
  • Develop transformations for structured and semi-structured data
  • Optimize SQL Server and ClickHouse queries for performance and scalability
  • Improve data models, partitions, and materialized views in ClickHouse
  • Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs)
  • Monitor pipeline performance and ensure low latency + high reliability
  • Implement data quality checks, error handling and lineage tracking
  • Partner with BI teams to support dashboards (Power BI, etc)
Must-Haves (Non-Negotiables):
We are targeting candidates who already have strong, hands-on experience in the following:
  • ETL tools: Azure Data Factory, SSIS, Databricks
  • Strong SQL skills (writing, optimizing, and troubleshooting complex queries)
  • Experience working with ClickHouse (schema design, ingestion, optimization)
    Experience with cloud environments (Azure perferred)
  • Programing in Python or Scala for data processing
If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit.
Nice to Have:
  • Experience with streaming data (Kafka, Event Hubs)
  • Exposure to big data frameworks
  • Understanding of DevOps/Data pipeline deployment practices
  • Experience supporting BI tools (Power BI, Tableau)
What Success Looks Like:
  • You can independently build and optimize ETL pipelines
  • You understand how to make data systems faster, cleaner, and scalable
  • You're comfortable working across engineering, analytics, and business teams
  • You proactively identify performance issues and fix them