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Entry Level Python Developer Jobs in Woodbridge, NJ

New York Life

Associate - AI Engineer

Manhattan, NY · On-site

$92K - $115K/yr

The AI Engineer is an entry-level engineering role designed for early-career technologists who are ... Write clean, maintainable, and well-tested Python code following established coding standards

MedReview

ETL Engineer

Manhattan, NY · On-site

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 ...

bareinsights

Product Manager (New Grad)

New York, NY · On-site

$120K - $135K/yr

About the Role This is a high-impact, entry-level Product Manager role on an engineering-first team ... Familiarity with modern web technologies such as Python, React, TypeScript, Redux, and PostgreSQL.

Posted today

Clearwater Analytics

Software Development Engineer

New York, NY · On-site

$115K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Proficiency in Python or another modern object-oriented language (Java, C#, C++, etc.). Ability to ... entry level. Salary Range $115,119.60 - $148,350.00 This is the pay range the Company believes it ...

Clearwater Analytics

Software Development Engineer

New York, NY · On-site

$115K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Python or another modern object-oriented language (Java, C#, C++, etc.). • Ability to learn ... entry level. Salary Range $115,119.60 - $148,350.00 This is the pay range the Company believes it ...

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Entry Level Python Developer information

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

As of Aug 19, 2026, the average hourly pay for entry level python developer in Woodbridge, NJ is $59.19, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $67.21 per hour, depending on experience, location, and employer.

What does an entry level Python developer do?

An Entry Level Python Developer is responsible for writing, testing, and debugging basic Python code under the guidance of more experienced developers. They often assist with tasks such as developing simple applications, automating repetitive processes, and maintaining existing codebases. These professionals typically work on small projects or support larger teams, helping to implement features, fix bugs, and ensure code quality. Their role is also a stepping stone to more advanced programming responsibilities as they gain experience and knowledge.

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 skills, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, basic database management, and frameworks such as Django or Flask is typically expected. Strong communication, eagerness to learn, and teamwork abilities help you stand out in collaborative development environments. These skills and qualities are crucial for efficient code development, adaptability to new technologies, and successful project delivery.

What are some common challenges faced by entry level Python developers during their first year on the job?

Entry level Python developers often encounter challenges such as adapting to real-world codebases, understanding version control systems like Git, and collaborating effectively within a development team. Additionally, they may need to quickly learn industry-standard frameworks and tools that go beyond basic Python knowledge, such as Django, Flask, or RESTful APIs. Regular communication with senior developers and participating in code reviews are crucial for skill development and overcoming initial hurdles.

Are entry level Python developers still in demand in 2026?

Entry level Python developers remain in demand in 2026 due to the language's widespread use in data analysis, web development, and automation. Skills in frameworks like Django or Flask and knowledge of version control are valuable for entry-level roles, which are expected to grow as companies continue to adopt Python-based solutions.

How much does an entry level Python developer earn?

Entry level Python developers typically earn between $50,000 and $80,000 annually, depending on location, industry, and skills. Strong knowledge of libraries like Pandas and frameworks such as Django can enhance earning potential, especially with relevant certifications or internship experience.

Is there a demand for entry level Python developers?

There is strong demand for entry level Python developers across various industries such as technology, finance, and data analysis. Employers seek candidates with basic programming skills, knowledge of frameworks like Django or Flask, and familiarity with version control tools like Git. Entry level roles often require a solid understanding of core Python concepts and the ability to work on team projects in a collaborative environment.
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Entry Level Python Developer jobs near you
Infographic showing various Entry Level Python Developer job openings in Woodbridge, NJ as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 1% Temporary, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $123,108 per year, or $59.2 per hour.

Data Engineer II - (Remote)

Fanatics Betting & Gaming

New York, NY • On-site, Remote

$125K - $150K/yr

Full-time

Posted 29 days ago

Job description

About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
We're looking for a Data Engineer II to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack - Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks - helping move data reliably and securely from source to decision-ready output.
This is an entry-level role. You'll execute well-defined tasks under the direction of senior data engineers, learn our team's stack and conventions, and build a strong foundation in pipeline correctness. You're not expected to own designs independently yet - you're expected to build reliable software against a design, ask good questions, and grow quickly from feedback.
Responsibilities
  • Implement ingestion pipelines and Airflow DAGs from a senior engineer's design, using the team's scaffolding and conventions - including writing the code, unit tests, and documentation
  • Support data security and governance work, such as PII masking and access controls, following established patterns
  • Contribute to data delivery work, including reverse ETL integrations, under guidance from senior engineers
  • Add and extend fields in existing pipelines, incorporating review feedback and applying learned patterns on future work
  • Take oncall pages for pipeline failures, work through runbooks, and escalate with clear context when needed
  • Pair with senior engineers on data integrity issues you can't yet diagnose alone
  • Write clear, reviewer-friendly PR descriptions and ask clarifying questions before starting new work
  • Flag blockers early and with context rather than going quiet when stuck
  • Build strong working relationships with internal stakeholders (BI analysts, other data engineers, data scientists) and help gather and clarify requirements
  • Conduct and participate in code and system inspections
  • Help the team define and adhere to data engineering best practices
  • Mentor more junior data engineers as you grow into the role
Experience and Skills
  • 1-3 years of professional software or data engineering experience
  • A self-learner with a strong ability to gather, evaluate, and analyze requirements
  • Solid foundation in Python and deep understanding of SQL and ETL/ELT for complex data transformations
  • Comfort reading and writing unit tests, and working within an established codebase and conventions
  • Familiarity with (or eagerness to quickly learn) workflow orchestration tools like Airflow (Managed Workflows for Apache Airflow)
  • Basic understanding of data pipeline concepts: ingestion, idempotency, scheduling, and data quality
  • Knowledge of several of the following technologies: Snowflake, Databricks, AWS, dbt, Tableau, MongoDB, PostgreSQL
  • Familiarity with Git-based version control and PR-based code review workflows
  • Strong communication skills - asks clarifying questions, writes clear PR descriptions, and escalates blockers with useful context rather than staying stuck silently
  • A growth mindset: takes review feedback well, improves processes, and champions best practices to avoid technical debt
Preferred But Not Required
  • Exposure to cloud data warehouses/lakehouses (Snowflake, Databricks, AWS) and data catalog/lineage tooling
  • Familiarity with dbt, Tableau, MongoDB, or PostgreSQL
  • Familiarity with reverse ETL tools or patterns (e.g., Segment, LaunchDarkly, Kafka, S3-based delivery)
  • Exposure to PII masking, data security, or RBAC/access governance concepts
  • Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
  • Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
  • Familiarity with responsible handling of customer/PII-sensitive data
Why Join Us
  • Join a team that's literally described as "the foundation" - everything at FBG, FES, and FMX runs on the data we ingest, govern, and deliver
  • Learn from senior and staff data engineers on a well-invested, modern data platform, with a clear growth path from DE2 into independent ownership
  • Work on high-visibility, high-trust systems: regulatory and financial reporting, PII security, and data governance that the business depends on
  • A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity
  • Collaborative culture with strong engineering practices, code review, and mentorship

Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE-a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/
Salary Range
$118,000-$156,000 USD
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