2

Entry Level Python Programmer Jobs in Linden, NJ

ETL Engineer

Manhattan, NY · 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 ...

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 ...

We are looking for an entry-level Security Operations Engineer to join our team and help out on ... Basic scripting with Python/Bash. * Familiarity with Jira and Jira automation. * Familiarity with ...

Algo Developer (VP Level) Location: New York, NY (4 days onsite) Full Time Main mission is to ... Experience developing in Python a plus * Experience with performance testing and profiling a plus

The Algo Developer will have experience developing real-time systems capable of trading in fast ... Experience developing in Python a plus * Experience with performance testing and profiling a plus

Senior DevOps Engineer

Jersey City, NJ · On-site

$103.92K - $173.30K/yr

... Python. Position requires 10% domestic travel. Other Annual Salary: $103,917.00 - $173,300.00 ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Their team consists of a range of employees from enthusiastic entry level to tenured experts across ... Intermediate programming skills (C, or C++, Matlab, R, python) * Exceptional knowledge of ...

next page

Showing results 1-20

Entry Level Python Programmer information

See Linden, NJ salary details

$41

$70

$85

How much do entry level python programmer jobs pay per hour?

As of May 31, 2026, the average hourly pay for entry level python programmer in Linden, NJ is $70.37, according to ZipRecruiter salary data. Most workers in this role earn between $64.57 and $74.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Python Programmer, and why are they important?

To thrive as an Entry Level Python Programmer, a solid understanding of Python fundamentals, basic algorithms, and problem-solving skills is essential, typically backed by a degree in computer science or relevant coursework. Familiarity with code versioning tools like Git, simple database systems such as SQLite or MySQL, and common frameworks like Flask or Django is often required. Attention to detail, eagerness to learn, and effective communication help individuals adapt and contribute to team projects. These skills and qualities are vital for writing reliable code, collaborating efficiently, and growing in a fast-paced tech environment.

What types of projects do entry level Python programmers typically work on, and how do these projects support career development?

Entry level Python programmers often start by working on tasks like writing scripts to automate repetitive processes, assisting with data cleaning for analytics teams, or contributing to the maintenance and debugging of existing codebases. These projects are designed to build foundational skills in coding, version control, and collaboration within a software development team. As you gain experience and demonstrate your abilities, you may be given opportunities to take on more complex assignments, such as developing new features or participating in code reviews, which can significantly support your professional growth.

What does an Entry Level Python Programmer do?

An Entry Level Python Programmer is responsible for writing, testing, and debugging simple Python code under the guidance of more experienced developers. They often assist with basic programming tasks, such as data manipulation, automation scripts, or web development using Python frameworks. Their main goal is to support projects while learning and improving their coding skills on the job. Entry level programmers commonly collaborate with team members, follow coding standards, and help troubleshoot software issues.

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

AspectEntry Level Python ProgrammerData Analyst
Required SkillsPython, basic programming, scriptingExcel, SQL, data visualization, some Python
CertificationsNone required, but Python certifications helpfulNone required, but data analysis certifications beneficial
Work EnvironmentTech companies, startups, software firmsBusiness, finance, healthcare, consulting
Typical TasksWriting scripts, debugging, automationData collection, cleaning, analysis, reporting

While both roles involve working with data and programming, Entry Level Python Programmers focus on coding and automation using Python, often in tech environments. Data Analysts utilize Python alongside other tools to interpret data and generate insights in various industries. The roles overlap in technical skills but differ in primary responsibilities and industry focus.

What are popular job titles related to Entry Level Python Programmer jobs in Linden, NJ? For Entry Level Python Programmer jobs in Linden, NJ, the most frequently searched job titles are:
What cities near Linden, NJ are hiring for Entry Level Python Programmer jobs? Cities near Linden, NJ with the most Entry Level Python Programmer job openings:
Infographic showing various Entry Level Python Programmer job openings in Linden, NJ as of May 2026, with employment types broken down into 2% Locum Tenens, 19% Full Time, 65% Part Time, 3% Temporary, 6% Contract, and 5% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $146,363 per year, or $70.4 per hour.
ETL Engineer

ETL Engineer

MedReview

Manhattan, NY • On-site

$120/hr

Full-time

Posted 11 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