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Python Data Jobs in Denver, CO (NOW HIRING)

Data Analyst

Denver, CO · On-site +1

$80K - $100K/yr

R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

Responsibilities : • Analyze data and provide actionable insights using SQL, Python, R, Tableau, and Microsoft/Google Suite • Solve problems and meet goals with advanced statistical techniques ...

Join the VIZIO Data Analytics Team as a Data Analyst II and help turn complex, high-volume data ... If you're fluent in SQL, comfortable in Python, and energized by solving ambiguous problems with ...

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Java, Scala, Python, C or C++. * Familiarity with RDBMS technologies (PostgreSQL, MySQL, Oracle ... Experience with scaled data environments and Streaming technologies like Kafka and Spark

Join the VIZIO Data Analytics Team as a Data Analyst II and help turn complex, high-volume data ... If you're fluent in SQL, comfortable in Python, and energized by solving ambiguous problems with ...

R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including advanced ... Ability to process data objectively and efficiently * Intellectually curious about new data tools ...

... Python to automate workflows, support ad hoc analysis, and deliver production-ready solutions. - Establish and advance data governance through standardized definitions, documentation, and well ...

Data & Analytics Manager

Denver, CO · On-site

$145K - $150K/yr

... Python to automate workflows, support ad hoc analysis, and deliver production-ready solutions. - Establish and advance data governance through standardized definitions, documentation, and well ...

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and ...

Mid- Level Data Engineer

Denver, CO

$117.90K - $141.50K/yr

Design, build, and maintain reliable, scalable data pipelines using Python and PySpark on the Microsoft Azure data platform. * Develop and operate batch and incremental data pipelines leveraging ...

Mid- Level Data Engineer

Denver, CO · On-site

$117.90K - $141.50K/yr

Design, build, and maintain reliable, scalable data pipelines using Python and PySpark on the Microsoft Azure data platform. * Develop and operate batch and incremental data pipelines leveraging ...

Experience with Python and any of the following Python data science / machine learning libraries: Pandas, scikit-learn, TensorFlow, Keras, Pytorch * Experience with one or more of the following:

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Python Data information

See Denver, CO salary details

$13

$60

$88

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:
Consultant, Environmental Data & Analytics

Consultant, Environmental Data & Analytics

The ERM International Group Limited

Denver, CO • On-site

Full-time

Posted 19 days ago


Job description

ERM is seeking a Consultant, Environmental Data and Analytics to join our growing Data Services team. This role blends technical expertise in data analytics and visualization with a strong understanding of environmental data systems and governance. You will support the implementation of data solutions that support environmental, health, safety, and sustainability (EHS&S) initiatives for global clients.
Key Responsibilities
  • Develop interactive dashboards and reports using Power BI, Tableau, and Looker Studio.
  • Develop data integration and migrations involving platforms such as EQuIS, Enablon, and cloud-based systems (Azure, AWS, GCP).
  • Build and maintain data pipelines using SQL, Python, and ETL tools.
  • Collaborate with clients to define data models, data governance, quality, and security standards
  • Collaborate with clients to design and implement agentic AI workflows.
  • Support environmental data modeling, reporting, and visualization for groundwater, surface water, air, and biological metrics
  • Contribute to internal knowledge-sharing initiatives
  • Engage with clients to understand business needs and deliver tailored data solutions

Required Qualifications
  • Bachelor's or Master's degree in Data Analytics, Environmental Science, Computer Science, or related field.
  • 2+ years of experience in data analytics, data engineering, or environmental data management.
  • Proficiency in Power BI, Tableau, SQL, and Python.
  • Familiarity with cloud platforms (Azure, AWS, GCP).
  • Familiarity with modern data architectures (i.e. Medallion Architecture) and best-practice data engineering principles.
  • Valid driver's license and good driving record.
  • Strong communication and project management skills.
  • Authorized to work in the United Stated without immigration sponsorship. This position is not eligible for immigration sponsorship.

Preferred Qualifications
  • 4+ years preferred of experience in data analytics, data engineering, or environmental data management.
  • Certified Data Management Professional (CDMP) or AWS/Azure Data Engineer certification.
  • Experience with data governance tools (e.g., Alation, Collibra).
  • Knowledge of ESG reporting frameworks and sustainability metrics.
  • Experience with Agile or Lean Six Sigma methodologies.
  • Build and maintain Machine Learning (ML), LLM, Agentic AI systems (OCR, RAG, tool/function calling) for EHS&S use cases.
  • Working experience building production-grade ML, LLMs, and Agentic systems (RAG, tool/function calling, planning)
  • Experience with environmental data systems such as EQuIS, Enablon, or similar.
  • Knowledge of MLOps/LLMOps patterns, vector databases, agent-based architecture, and AI security/privacy.

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