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Overnight Python Coding Jobs in Pennsylvania (NOW HIRING)

Energy transfer

Sr Analyst - Trading

Newtown Square, PA · On-site

$84.20K - $111.40K/yr

Knowledge of Python, R, SQL or other related coding platforms * Strong math skills * Excellent ... Occasional overnight travel may be required. * Occasional visits to industrial/manufacturing ...

Energy Transfer

Sr Analyst - Trading

Newtown Square, PA

$84.20K - $111.40K/yr

Knowledge of Python, R, SQL or other related coding platforms * Strong math skills * Excellent ... Occasional overnight travel may be required. * Occasional visits to industrial/manufacturing ...

Deloitte

GenAI Data Scientist

Mechanicsburg, PA · On-site

This involves writing code using Python libraries like TensorFlow or PyTorch. The Team Deloitte ... Maximum of 10% overnight travel for client or project purposes * Relocation Requirement: If ...

Deloitte

GenAI Data Scientist

Mechanicsburg, PA

This involves writing code using Python libraries like TensorFlow or PyTorch. The Team Deloitte ... Maximum of 10% overnight travel for client or project purposes * Relocation Requirement: If ...

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Overnight Python Coding information

What are the key skills and qualifications needed to thrive as an Overnight Python Coder, and why are they important?

To thrive as an Overnight Python Coder, you need strong proficiency in Python programming, debugging, and problem-solving, typically supported by experience in software development or a related degree. Familiarity with version control systems like Git, development environments such as PyCharm or VS Code, and potentially cloud platforms or task schedulers is common. Excellent time management, independent work ethic, and clear written communication are valuable soft skills for success in overnight roles. These skills ensure the ability to efficiently deliver quality code, maintain project continuity, and support teams operating across time zones.

What are some common challenges faced by overnight Python developers, and how can they effectively manage their workload?

Overnight Python developers often face unique challenges such as limited real-time collaboration with daytime teams and managing alertness during late hours. To succeed, it's important to establish clear communication channels with colleagues, document work thoroughly, and utilize task management tools to prioritize deliverables. Additionally, maintaining a consistent sleep schedule and taking scheduled breaks can help sustain productivity and focus throughout the shift. Many teams also provide support through shift overlap meetings or handoff documentation to ensure smooth workflow across different time zones.

What are Overnight Python Coding jobs?

Overnight Python Coding jobs involve programming tasks that are performed during nighttime or late evening hours using the Python programming language. These roles are common in companies that require 24/7 software support, urgent bug fixes, or real-time data processing. Overnight coders may work on maintaining backend systems, automating tasks, or monitoring critical applications for issues. This schedule can suit individuals who prefer flexible hours or need to accommodate other daytime responsibilities. Experience with Python and the ability to troubleshoot independently are essential for success in these positions.

What is the difference between Overnight Python Coding vs Data Analyst?

AspectOvernight Python CodingData Analyst
Required CredentialsPython programming skills, possibly certifications in data science or PythonBachelor's in statistics, data analysis, or related field; certifications like Microsoft Excel or Tableau
Work EnvironmentRemote or on-site, project-based, often during night shifts for global clientsOffice or remote, regular daytime hours, collaborative teams
Employer & Industry UsageTech companies, startups, data-driven firms requiring Python automation or scriptingBusiness, finance, marketing, healthcare sectors analyzing data for insights

Overnight Python Coding focuses on scripting and automation tasks during night shifts, often requiring strong Python skills. Data Analysts interpret data to inform business decisions during regular hours. While both roles involve working with data, Python coders emphasize programming, whereas Data Analysts focus on analysis and reporting.

What are the most commonly searched types of Python Coding jobs in Pennsylvania? The most popular types of Python Coding jobs in Pennsylvania are:
What are popular job titles related to Overnight Python Coding jobs in Pennsylvania? For Overnight Python Coding jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Overnight Python Coding jobs in Pennsylvania look for? The top searched job categories for Overnight Python Coding jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Overnight Python Coding jobs? Cities in Pennsylvania with the most Overnight Python Coding job openings:
Overnight Python Coding jobs near you
Infographic showing various Overnight Python Coding job openings in Pennsylvania as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.
Associate Analyst - Trading Analytics

Associate Analyst - Trading Analytics

Energy transfer

Newtown Square, PA • On-site

Full-time

Posted 7 days ago

Energy Transfer rating

9.1

Company rating: 9.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

2nd of 74 rated oil and gas companies

Job description

Sunoco LP is a leading energy infrastructure and fuel distribution master limited partnership operating across 32 countries and territories in North America, the Greater Caribbean, and Europe. The Partnership's midstream operations include an extensive network of approximately 14,000 miles of pipeline and over 160 terminals. This critical infrastructure complements the Partnership's fuel distribution operations, which distribute over 15 billion gallons annually to approximately 11,000 Sunoco and partner-branded retail locations, as well as independent dealers and commercial customers.
At Sunoco, we take great pride in what we do and wholeheartedly believe our employees drive success for our company and our customers. We are always looking for the best and brightest talent and we are committed to making your job a challenging and rewarding experience.
Join a collaborative and innovative team of entrepreneurial individuals transacting in both physical and financial markets with a common goal to supply customers with low-cost products and generate EBITDA in a challenging, fast paced environment.
Core Responsibilities:
  • Provide day to day support to Sunoco's trading team and associated support functions.
  • Monitor and evaluate Supply/demand factors. Maintain Supply/demand balances for global, domestic, and regional markets
  • Design and implement analytical tools and models to solve complex problems
  • Analyze large data sets to recognize trends and patterns
  • Build predictive models and algorithms using coding software such as Python
  • Use self-constructed models to propose solutions and strategies to internal business challenges

Requirements:
  • BS degree in Finance/Business/Engineering or other related discipline
  • Proven experience as a data scientist
  • Knowledge of Python, R, SQL or other related coding platforms
  • Strong math skills
  • Excellent communication skills

Required experience is commensurate with the selected job level:
  • The Associate/Analyst level requires a Bachelor's degree and 0-2 years of relevant job related experience

Working Conditions:
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
  • Usually, normal office working conditions.
  • Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing.
  • Occasional overnight travel may be required.
  • Occasional visits to industrial/manufacturing settings, which may include exposure to various materials and chemicals, as well as extreme temperature conditions and loud machinery, and require appropriate personal protective equipment.

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