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Python Data Jobs in Denver, CO (NOW HIRING)

bet365

Python Data Analyst

Denver, CO

$65K - $75K/yr

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business. The Trading department ...

bet365

Python Data Analyst

Denver, CO · On-site

$65K - $75K/yr

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business. The Trading department ...

Cymertek

Java, Scala, Python Developer

Aurora, CO · On-site

Java, Scala, Python Developer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

Cymertek

Java, Scala, Python Developer

Aurora, CO

Java, Scala, Python Developer LOCATIONAurora, CO 80014 CLEARANCETS/SCI Full Poly (Please note this ... Familiarity with big data frameworks (e.g., Spark, Hadoop) * Understanding of microservices ...

INSPYR Solutions

Python Developer

Denver, CO · On-site

$50 - $63/hr

Python Expert, Customer facing experience Who You are The Team is comprised of Automation ... Knowledge of Analytics with Big Data, AI, Machine Learning algorithms * Exposure to networking ...

Everwatch

Software Engineer

Aurora, CO · On-site

$55.36 - $79.33/hr

Experience with Python including; proficiency with Python standard libraries, and familiarity with Python data science packages * Experience developing with Containerization (docket) and Kubernetes

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Key Responsibilities: * Analyze structured and unstructured data with Python and SQL . * Build and validate predictive models. * Communicate insights to stakeholders through reports and ...

Everwatch

Software Engineer

Aurora, CO · On-site

$55.36 - $79.33/hr

Experience with Python including; proficiency with Python standard libraries, and familiarity with Python data science packages * Experience developing with Containerization (docket) and Kubernetes

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How much do python data jobs pay per hour?

As of May 30, 2026, the average hourly pay for python data in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What are popular job titles related to Python Data jobs in Denver, CO? For Python Data jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in Denver, CO look for? The top searched job categories for Python Data jobs in Denver, CO are:
Python Data jobs near you

Python Data Analyst

bet365

Denver, CO

$65K - $75K/yr

Full-time

Posted 10 days ago

Bet365 rating

9.7

Company rating: 9.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 15 rated gambling companies

Job description

Company Description

At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we're breaking new ground in software innovation too, redefining what's possible for our customers worldwide.

Job Description

As a Python Data Analyst, you will work with our Trading department to analyze complex datasets, develop insights, and drive data-driven decision-making across the Business.

The Trading department plays a vital role in offering enticing sports betting options across all markets to the US customer base, monitoring the product, and supporting any real time trading issues.

Using your technical ability, statistical knowledge, and data visualization techniques, you will work closely with management to implement reporting structures and data-driven solutions that enhance our products.

This is an exciting opportunity for aspiring data scientists to gain hands-on experience and apply their skills to implement impactful solutions.

The salary range for this position is $65,000-$75,000 annually.

Qualifications
  • Degree in Computer Science, Statistics, Mathematics, Economics or similar field of study.
  • Proficient in Python and SQL languages is essential.
  • Basic understanding of data science principles and methods.
  • Ability to deliver solutions through quantitative research, using multiple data sources.
  • Self-motivated to research and deliver change within the department.
  • Strong analytical and problem-solving skills
  • Ability to effectively communicate with staff throughout the operation, up to and including key stakeholders and senior management.
  • Experience with Google Cloud, BigQuery, financial markets, fintech, Linux and Machine Learning toolkits.
Additional Information
  • Collecting, processing, and analyzing large datasets using various tools and techniques.
  • Developing and maintaining dashboards and other data products.
  • Instilling accurate and effective reporting channels.
  • Presenting research and analysis in a clear and concise manner.
  • Assisting in the creation and implementation of rules-based or Machine Learning models.
  • Collaborating with cross-functional teams to identify Business problems and propose data-driven solutions.

bet365 provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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