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Manager Python Web Scraping Jobs in Texas (NOW HIRING)

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Python Developer

Houston, TX · On-site

$45.50 - $62.75/hr

Experience scraping websites with Beautiful Soup, Selenium, etc. * Oracle / PL SQL development ... Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities

Perform web scraping validation of competitive matches. * Perform ad hoc comp shop projects for Manager and Merchant team. Reporting: * Support Pricing Director with ownership of an assigned pricing ...

Perform web scraping validation of competitive matches.* Perform ad hoc comp shop projects for Manager and Merchant team.**Reporting:*** Support Pricing Director with ownership of an assigned pricing ...

Perform web scraping validation of competitive matches. * Perform ad hoc comp shop projects for Manager and Merchant team. Reporting: * Support Pricing Director with ownership of an assigned pricing ...

Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... manage stakeholders, and bring forward new ideas for scalable internal applications. The ideal ... Build and maintain custom web applications used across the business (Python/Flask + JavaScript ...

Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In ... Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. * Oracle / PL SQL ...

Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In ... Experience scraping websites with Requests, Beautiful Soup, Selenium, etc. * Oracle / PL SQL ...

Software Engineer (Full Stack)

Austin, TX · On-site

$110K - $225K/yr

Build, scale and maintain our blockchain infrastructure including smart contracts, managed wallets ... Experience with a dynamic programming language such as Python. Web and Solidity experience is a ...

... and web services using Flask framework. • Utilize Python extensively for data manipulation ... Manage deployment and configuration of Nginx servers to ensure high availability and security ...

Showing results 41-60

Manager Python Web Scraping information

What is the difference between Manager Python Web Scraping vs Python Web Developer?

AspectManager Python Web ScrapingPython Web Developer
Primary RoleOversees web scraping projects, manages teams, and ensures data qualityDevelops and maintains web applications using Python
Skills & CertificationsProject management, Python, web scraping tools, leadershipPython programming, web frameworks, API integration
Work EnvironmentTeam management, strategic planning, collaboration with data teamsCode development, debugging, deploying web applications
Industry UsageData collection, research, analytics projectsWeb development, SaaS, e-commerce platforms

The main difference is that a Manager Python Web Scraping focuses on overseeing web scraping projects and leading teams, while a Python Web Developer primarily writes code to build and maintain web applications. Both roles require Python skills, but the managerial role emphasizes leadership and project oversight, whereas the developer role centers on technical coding tasks.

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The most popular types of Python Web Scraping jobs in Texas are:

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For Manager Python Web Scraping jobs in Texas, the most frequently searched job titles are:

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Cities in Texas with the most Manager Python Web Scraping job openings:

Data Engineering Internship (Summer 2027)

Houston, TX • On-site

Castleton Commodities International LLC
Oil and Gas Extraction • 501 - 1,000 employees

$109K - $131K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.