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Overnight Python Sql Jobs (NOW HIRING)

4P Consulting Inc

Senior Electrical Engineer

Vestavia Hills, AL · On-site

$107.40K - $139.90K/yr

... Python, C#, SQL) desired • Advanced degree in EE, computer science or other related fields ... overnight travel may be required but this is not extensive. Knowledge, Skills & Abilities • Must ...

4P Consulting Inc.

Senior Electrical Engineer

Birmingham, AL · On-site

$100.70K - $131.20K/yr

... Python, C#, SQL) desired • Advanced degree in EE, computer science or other related fields ... overnight travel may be required but this is not extensive. Knowledge, Skills & Abilities • Must ...

4pconsultinginc

Electrical Engineer 3

Birmingham, AL · On-site

Travel overnight occasionally (limited) Education Requirements * Master of Science in Electrical ... PSCAD * PSS ® E * Experience or training in computer programming (Python, C#, SQL preferred)

Kanak Elite Services Inc

$109K - $130.80K/yr

... Python * 1+ years Azure (or similar Cloud with AWS, GCP) * Mid level candidate with mid level year ... Applied SQL development, Data warehousing/analytics, and Data engineering/equivalency * 1+ years ...

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 ...

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How much do overnight python sql jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for overnight python sql in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

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

To thrive as an Overnight Python SQL Developer, you need a solid understanding of Python programming, SQL database management, and experience with data extraction, transformation, and loading (ETL) processes. Familiarity with database systems like MySQL, PostgreSQL, or SQL Server, as well as version control tools like Git, is typically required, and relevant certifications such as Microsoft Certified: Azure Data Fundamentals can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills, especially when collaborating across shifts or resolving urgent issues overnight. These skills are critical for ensuring seamless data operations, maintaining system reliability, and supporting business functions during non-standard hours.

What are some common challenges faced by Overnight Python SQL developers, and how can they be overcome?

Overnight Python SQL developers often encounter challenges such as working independently with limited immediate support, managing critical system updates during off-hours, and balancing quick troubleshooting with thorough documentation. To overcome these challenges, it’s helpful to maintain clear communication with day teams through detailed handover notes, develop strong problem-solving skills, and utilize automation for routine tasks. Building a robust monitoring system and maintaining organized scripts can also make overnight troubleshooting more efficient and less stressful.

What does an Overnight Python SQL professional do?

An Overnight Python SQL professional is responsible for managing, maintaining, and analyzing data systems during overnight hours using Python and SQL programming languages. Their duties often include automating data processes, running ETL (Extract, Transform, Load) tasks, monitoring data pipelines, and troubleshooting issues that arise outside of regular business hours. This role is crucial for organizations that require 24/7 data operations and ensures data systems are functional and up-to-date by the start of the next business day.

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

AspectOvernight Python SqlData Analyst
Required SkillsPython, SQL, data manipulation, scriptingExcel, SQL, data visualization, basic programming
Work EnvironmentNight shifts, data processing teams, tech companiesDay shifts, business units, various industries
CertificationsPython certifications, SQL certificationsNone mandatory, often data analysis or business certifications

Overnight Python Sql roles focus on scripting, data processing, and working during night shifts, often in tech or data-centric companies. Data Analysts typically work during regular hours, analyzing data, creating reports, and supporting business decisions. While both roles require SQL skills, Overnight Python Sql emphasizes scripting and night work, whereas Data Analysts focus on data interpretation and visualization during standard hours.

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What cities are hiring for Overnight Python Sql jobs? Cities with the most Overnight Python Sql job openings:
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Overnight Python Sql jobs near you
Infographic showing various Overnight Python Sql job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 90% Full Time, 2% Part Time, and 6% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Associate Analyst - Trading Analytics

Associate Analyst - Trading Analytics

Energy Transfer Equity Lp

Newtown Square, PA • On-site

Other

Posted 13 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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