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PRI Technology

Splunk Administrator

Holmdel, NJ · On-site

$80 - $90/hr

... 2 hourly basis or $90.00 per hour on a Corp basis. The Corp rate is for independent contractors ... Experience with scripting and automation tools (e.g., Python, Bash). Familiarity with cloud ...

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What is the difference between Hourly Python Contractor vs Python Developer?

AspectHourly Python ContractorPython Developer
CredentialsTypically no formal certification required, but experience and portfolio matterOften holds a degree in computer science or related field, certifications like PCEP or PCAP are common
Work EnvironmentFreelance, project-based, remote or on-siteFull-time or part-time employment, usually in an office or remote
Employer UsageHired for specific projects or short-term tasksPart of a company's development team, involved in ongoing projects
Search & Comparison IntentLooking for flexible, short-term Python workSeeking full-time or long-term Python development roles

Hourly Python Contractors are typically freelancers hired for specific projects without formal employment, while Python Developers are usually employed full-time within organizations. Both roles require Python skills, but their work arrangements and commitments differ significantly.

What are the most commonly searched types of Python Contractor jobs in New York? The most popular types of Python Contractor jobs in New York are:
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What cities in New York are hiring for Hourly Python Contractor jobs? Cities in New York with the most Hourly Python Contractor job openings:
Hourly Python Contractor jobs near you
BNEF US Power Analyst - Contract (6 months)

BNEF US Power Analyst - Contract (6 months)

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

BNEF US Power Analyst - Contract (6 months)
Location
New York
Business Area
Research
Ref #
10051863
Description & Requirements
BloombergNEF (BNEF) is seeking a talented, highly motivated individual to join our US power analysis team as a contractor. You're one of those people who have a passion for energy markets and you want to be at the edge of change in this exciting industry. You naturally form original opinions, and you have an exceptional ability to communicate these to your audience. Your quantitative skills are strong, and you love to analyze critically complex subjects. Teamwork is important to you, and you understand how healthy debates inform solid conclusions.
BNEF is a strategic research provider covering global commodity markets and the disruptive technologies driving the transition to a low-carbon economy. Our expert coverage assesses pathways for the power, transport, industry, buildings and agriculture sectors to adapt to the energy transition. We help commodity trading, corporate strategy, finance and policy professionals navigate change and generate opportunities.
Our Team:
You will be based in our New York office as part of the US power team for BNEF - the world's leading independent provider of analysis, tools, data and research to decision makers leading the future of energy. Our team of experts, spread across six continents, provides independent analysis and insight, working with the largest corporations across utilities and generation, oil & gas, equipment manufacturers, banking and finance, and government.
BNEF Team Ethos:
To succeed at BNEF we need people who can work in an independent manner and show initiative to develop their own viewpoints, yet be collaborative with colleagues. We don't rely on the status quo, we look for innovative yet pragmatic thinking that turns big ideas into real insights and impact. Working at BNEF sometimes feels chaotic; we need teams that are both dynamic and structured to generate the unique perspectives our clients really value. Our teams are diverse, creative, focused, and fun!
What You'll Do
  • Use Python, SQL, Excel and the Bloomberg Terminal to analyze US power-market data.
  • Clean, audit and maintain messy datasets, including hourly prices, load, generation and asset-level data.
  • Identify data-quality issues before they affect the analysis.
  • Build and improve repeatable workflows for charts, datasets, forecasts and written research.
  • Support power-price forecasting with a fundamentals-based view of load, supply, fuels, renewables, storage and retirements.
  • Analyze market behavior across US ISOs/RTOs, including DA/RT spreads, congestion, negative prices and seasonal volatility.
  • Model the economics of battery storage and other flexible assets.
  • Work in shared codebases and write code that other analysts can understand and reuse.
  • Turn quantitative analysis into clear, conclusion-led research for clients.

What We're Looking For
  • Strong Python and SQL skills, especially pandas-based analysis.
  • Comfort working with imperfect market data and documenting cleaning decisions.
  • A fundamentals-first understanding of power prices and market behavior.
  • Ability to explain price movements through load, generation mix, fuel costs, congestion, outages, weather and market design.
  • Familiarity with renewables and energy storage economics.
  • Experience building or supporting forecasts, models or repeatable analytical workflows.
  • Clear written communication for commercial and non-technical audiences.
  • Practical use of AI tools to speed up coding, analysis and drafting, with enough judgment to catch wrong outputs.

Salary Range = 35 - 40 USD Hourly
The referenced salary range is based on the Company'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.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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