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Entry Level Python Developer Jobs in Owings Mills, MD

Pwc

AI & GenAI Data Scientist - Manager

Baltimore, MD · On-site

$99K - $232K/yr

... programming languages such as Python and Java to enhance AI model deployment - Overseeing the ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

McCormick Taylor, Inc.

GIS Analyst I

Baltimore, MD · Hybrid

Position Summary McCormick Taylor is seeking a motivated entry-level GIS Analyst to join its ... making for Engineering, Environmental, Cultural Resources, Noise, Air Quality, and other ...

McCormick Taylor

GIS Analyst I

Baltimore, MD · On-site

Position Summary McCormick Taylor is seeking a motivated entry-level GIS Analyst to join its ... Performs spatial analyses/data modeling to aid in decision-making for Engineering, Environmental ...

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All JobsEntry Level Python Developer JobsEntry Level Python Developer Jobs in Owings Mills, MD

Entry Level Python Developer information

See Owings Mills, MD salary details

$12

$56

$82

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

As of Jun 19, 2026, the average hourly pay for entry level python developer in Owings Mills, MD is $56.31, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $63.94 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 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.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for entry-level Python developers in 2026 due to its widespread use in data analysis, web development, automation, and machine learning. Employers value proficiency in Python, along with knowledge of frameworks like Django or Flask and understanding of libraries such as Pandas and NumPy, making it a strong choice for career growth.

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 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.

What Does an Entry-Level Python Developer Do?

The job of an entry-level Python developer is to assist senior developers or project managers by writing code in the Python programming or scripting language. Their responsibilities are to help develop application software and run QA tests and debugging tools. Many developers work within a particular type of workflow method, such as Agile Scrum, and an entry-level python developer should have some knowledge of how these workflows operate. The qualifications you need to become an entry-level Python developer are a bachelor’s degree in computer science or a relevant field as well as skills using the scripting language or working with code.

How do I get a Python job with no experience?

Entry-level Python developer roles often require demonstrating basic programming skills through personal projects, online courses, or certifications like PCAP. Building a portfolio, contributing to open-source projects, and gaining familiarity with tools like Git and common libraries can improve your chances despite limited professional experience.

What pays more, C++ or Python?

For entry-level Python developers, salaries are generally comparable to those of C++ developers, but C++ roles often offer higher pay due to its use in performance-critical applications like systems programming and game development. Salary differences depend on industry, location, and specific skills, with C++ sometimes commanding a premium for specialized expertise. Both languages are valuable skills for developers, but C++ may lead to higher starting salaries in certain technical fields.

Will AI replace Python coders?

As an entry-level Python developer, AI is unlikely to fully replace Python programmers soon, but it can automate repetitive coding tasks and assist in debugging. Developers who learn to work alongside AI tools and focus on problem-solving, creativity, and complex system design will remain valuable. Staying updated with new technologies and improving coding skills will help maintain employability in an evolving field.
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2026 Graduate - Synthetic Aperture Radar ML Engineer - Imaging Systems

2026 Graduate - Synthetic Aperture Radar ML Engineer - Imaging Systems

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 57 rated research

Job description

Description
Are you passionate about machine learning, edge processing, and synthetic aperture radar imaging?
Do you seek a position to apply your engineering skills in an innovative and collaborative laboratory environment?
If so, we are looking for someone like you to join our team at the Johns Hopkins University Applied Physics Laboratory (APL)!
We are seeking an entry-level engineer or scientist to support the growth of RF/machine learning capabilities. The selected candidate will contribute in two primary areas: optimization of SAR-related processing for GPU-enabled edge hardware, and support of machine learning workflows including curated dataset development, model training, evaluation, and deployment to edge devices. This role is intended for a candidate with strong technical fundamentals and the potential to grow into a broader RF/ML contributor through mentorship and hands-on experience. Deep SAR expertise is not required.
As a member of our team, you will...
  • Support development and optimization of SAR-related algorithms and processing workflows for execution on GPU-enabled edge hardware.
  • Assist with profiling, debugging, and improving computational performance to meet edge-device constraints such as latency, memory, throughput, and power.
  • Build, organize, and maintain curated datasets for machine learning training, validation, and testing.
  • Develop and apply data preprocessing, labeling, and quality-check workflows to prepare data for analysis and model development.
  • Train, evaluate, and help refine machine learning models for deployment in edge or resource-constrained environments.
  • Support integration and deployment of algorithms and trained models onto edge computing platforms.
  • Collaborate with senior staff to transition prototypes into robust, testable implementations.
  • Document technical approaches, results, implementation details, and performance tradeoffs.
  • Work closely with mentors and team members to grow technical depth in RF, SAR, machine learning, and edge deployment applications.
  • Contribute to the team's emerging RF/ML capabilities through applied development, experimentation, and technical learning.

Qualifications
You meet our minimum qualifications if you have...
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or relevant field.
  • Foundation in signal processing, linear algebra, and related applied mathematical methods.
  • Programming experience in Python, C++, or similar languages for technical computing, data processing, or algorithm development.
  • Familiarity with basic machine learning workflows, including data preparation, model training, evaluation, and performance assessment.
  • Ability to work with raw and processed data to create organized, curated datasets for analysis and model development.
  • Interest in performance optimization of computational pipelines, including familiarity with GPU or parallel computing concepts.
  • Awareness of edge or embedded computing constraints such as memory, latency, throughput, and power limitations.
  • Strong analytical, problem-solving, and communication skills.
  • Willingness to learn RF, SAR, and edge-deployed ML methods through mentorship and hands-on work.
  • Are able to obtain an Interim Secret Clearance by your start date and can ultimately obtain a TS/SCI. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information; eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Experience with GPU programming, accelerated computing, or performance optimization tools and frameworks.
  • Exposure to deploying software or machine learning models on embedded or edge computing platforms.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or similar toolkits.
  • Exposure to RF systems, remote sensing, image formation, SAR, or related sensing modalities.
  • Experience with data curation, labeling, preprocessing, or dataset management for machine learning applications.
  • Experience working in Linux-based development environments.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at http://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$165,000 Annually

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