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Excel Csv Python Data Analysis Jobs (NOW HIRING)

... motivated Python Data Engineer to help us expand our data assets in support of our analytical ... This role will have the opportunity to interface directly with our traders, analysts, researchers ...

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

Work with data in a variety of formats including Excel, CSV, JSON, and XML. * Support the incident ... language (Python, bash) commonly used in data science applications and data analytics.

Write production-grade Python for data processing and integration between on-prem and cloud systems ... Track record owning delivery end to end, from data analysis and architecture through production ...

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... analysis. ***Must be US Citizen, prefer active Secret clearance. Hybrid role, 75% onsite work at ... Python 3 scripts that pull data from Excel/CSV/JSON/Markdown sources, SAM.gov API, and internal ...

Proficiency in Python for scripting and automation in data QA. * Experience with data analysis using Excel and handling large datasets. * Knowledge of data validation and quality checks. * Experience ...

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... CSV, XML, JSON) from CMMs and 3D scanners into centralized databases or data lakes. * Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw spatial ...

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Excel Csv Python Data Analysis information

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How much do excel csv python data analysis jobs pay per year?

As of Jul 12, 2026, the average yearly pay for excel csv python data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

Python Data Engineer

Vitol

Houston, TX

Full-time

Re-posted 9 days ago


Job description

Company Description

Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.

Vitol's customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.

Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.

This Role is located in Houston, TX - In office 5x a week

Job Description

We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs.
What you will do:

  • Write modular, reusable components to liaise between external sources of data, internal tools and databases
  • Work with our business sponsors to drive out requirements for data ingestion and access
  • Translate business requirements into technical deliveries
  • Maintain the cleanliness and centrality of the Vitol Python codebase, while adhering to existing designs and coding conventions as much as possible
  • Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality
  • Efficiently coordinate with the rest of our global team
  • Participate in Vitol's Python development community and act as a liaison for our growing business development efforts
Qualifications
  • 7+ years of enterprise-level coding experience with Python
  • Computer Science, MIS or related degree
  • Experience with Data Engineering and building data pipelines
  • Experience scraping websites with Requests, Beautiful Soup, Selenium, etc.
  • Oracle / PL SQL development experience including stored procedures
  • Strong understating of object-oriented design, design patterns, SOA architectures
  • Past experience working in an Agile/Scrum environment
  • Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools.
  • Familiarity with Pandas and NumPy packages
  • Strong communication skills (written and verbal)
  • Commodities/Energy Industry experience desired
  • Familiarity with containerization solutions like Docker and Kubernetes is a plus

This Role is located in Houston, TX - In office 5x a week

Additional Information

Work Environment

  • This job operates in a professional office environment.  Because of the collaborative, fast-paced, and high energy nature of our business, Vitol requires team members to work from our fully-equipped office. 

All your information will be kept confidential according to EEO guidelines.