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Junior Python Engineer Jobs in New Jersey (NOW HIRING)

Deloitte

Senior Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

As an experienced Sr . Python Developer you will have the ability to share new ideas and ... Mentor junior engineers and contribute to knowledge sharing within the team. Communicate regularly ...

Tech Consulting

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Junior Data Analyst

Parsippany Troy Hills, NJ · On-site

$30 - $35/hr

Entry-Level Python Developer Fulltime Candidate Must be open to relocate We are looking for a motivated and enthusiastic Entry-Level Python Developer to join our development team. The ideal candidate ...

EVTKS

Junior Network Administrator

NJ · On-site

$70K - $100K/yr

... or Python skills and be a part of our Identity and Access Management (IAM) Team supporting the ... Provide 2nd Level Engineering to the IAM FAA Program. * Ansible coding to conduct majority of ...

EVTKS

Junior Network Administrator

NJ · On-site

$70K - $100K/yr

... or Python skills and be a part of our Identity and Access Management (IAM) Team supporting the ... Provide 2nd Level Engineering to the IAM FAA Program. * Ansible coding to conduct majority of ...

Meraki7 Inc

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

... junior engineers and conduct code reviews to uphold quality standards Collaborate with data ... frameworks Solid Python programming for data engineering and automation tasks Experience ...

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Junior Python Engineer information

What is the difference between Junior Python Engineer vs Junior Data Analyst?

AspectJunior Python EngineerJunior Data Analyst
Required SkillsPython programming, basic data structures, scriptingData visualization, SQL, Excel, basic statistics
CertificationsPython certifications, coding bootcampsData analysis certifications, Excel courses
Work EnvironmentSoftware development teams, tech companiesBusiness intelligence teams, finance, marketing
Industry UsageSoftware, tech, startupsFinance, marketing, consulting

The main difference between a Junior Python Engineer and a Junior Data Analyst lies in their focus areas. Junior Python Engineers primarily develop and maintain software using Python, while Junior Data Analysts analyze data to generate insights. Both roles require some overlapping skills like basic programming, but their tools and end goals differ significantly.

What are Junior Python Engineers?

Junior Python Engineers are entry-level software developers who specialize in using the Python programming language to build, test, and maintain software applications. They typically work under the guidance of more experienced developers, contributing to coding, debugging, and documentation tasks. Junior Python Engineers may also assist in writing scripts, automating processes, and learning best practices in software development as they gain experience. This role is ideal for recent graduates or those with limited professional experience in programming.

What are the key skills and qualifications needed to thrive as a Junior Python Engineer, and why are they important?

To thrive as a Junior Python Engineer, you need a solid understanding of Python programming, basic software development principles, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, integrated development environments (IDEs), and common Python libraries such as Flask or Django is typically expected. Strong problem-solving skills, willingness to learn, and effective communication make a candidate stand out in collaborative development teams. These skills are vital for producing reliable code, integrating smoothly into team workflows, and growing quickly in a technical environment.

What are some typical projects or tasks a Junior Python Engineer might work on in their first year?

As a Junior Python Engineer, you can expect to work on a range of foundational tasks such as writing and debugging code, developing scripts for automation, assisting in the maintenance of existing applications, and supporting the implementation of new features under the guidance of senior engineers. You may also participate in code reviews, collaborate with cross-functional teams like QA or DevOps, and handle data manipulation or API integrations. This hands-on experience helps you build confidence and deepen your understanding of industry-standard development practices.
What are the most commonly searched types of Python Engineer jobs in New Jersey? The most popular types of Python Engineer jobs in New Jersey are:
Junior Python Engineer jobs near you
Principal Engineer - Python API Development

Principal Engineer - Python API Development

Fidelity Investments

Jersey City, NJ • On-site

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
The Role:
As a Principal Engineer on the Enterprise AI/ML Platform team, you will tackle the most complex technical challenges involved in delivering machine learning at enterprise scale. You will design, build, and evolve reliable, secure, and cost-efficient platform capabilities-from model packaging and serving to observability and lifecycle management-working closely with multiple teams to ensure these capabilities are practical, robust, and widely usable in production.
You will take a hands-on role across enterprise repositories, improving shared services, CI/CD workflows, and infrastructure patterns where they have the greatest impact. This includes deep technical investigation of performance and scalability issues, such as tracking down bottlenecks in web services, analyzing system and application metrics, and optimizing GPU utilization, throughput, and resource efficiency across ML workloads.
The Expertise & Skills You Bring
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline; 8+ years (typically 10+) building and operating production platforms and services at scale.
  • Deep software engineering expertise in Python and distributed systems, with a track record of building production-grade services, libraries, and internal platforms. You model engineering excellence through clean designs, automated testing, and maintainable abstractions; Linux fluency and scripting are required.
  • Familiarity with Java or Groovy is a plus.
  • Knowledge or experience with GenAI Gateways or LiteLLM a big plus.
  • Cloud platform leadership (AWS)-hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS-and experience shaping platform patterns that other teams adopt. Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial.
  • DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git-based workflows), containerization (Docker), release governance, and multi-environment promotion for ML-enabled workloads.
  • Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post-mortems) for ML serving and data/feature pipelines.
  • ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use-without a research or modeling focus.
  • Cross-org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes.
  • Set platform strategy and standards for ML packaging, deployment, serving, and observability-driving consistent adoption across squads and business units.
  • Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production.
  • Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services.
  • Advance model/data observability-tooling for data and feature drift detection, prediction-quality monitoring and uncertainty signals, and automated diagnostics/ explainability.
  • Lead cross-platform incident response and post-mortems, drive systemic fixes, and evolve standards to prevent recurrence-across applications and the platform.
  • Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale.
  • Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long-term platform roadmap.

The Team
The Enterprise Data Science Platform, part of the Fidelity Data Architecture team within the Enterprise Technology business unit, is responsible for delivering scalable AI/ML capabilities across the organization. The team designs and builds advanced cloud-based, open-source, software platforms in close collaboration with Data Scientists, enabling the efficient packaging, deployment, and operation of AI/ML models at production scale.
In addition, the platform develops and maintains enterprise-grade gateways that allow teams across the company to securely discover, access, and consume AI/ML models. These gateways provide critical visibility into model usage and costs, while generating insights into model effectiveness, adoption patterns, and opportunities for continuous improvement.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $107,000-216,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Information Technology

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