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Python Sql Jobs in Denver, CO (NOW HIRING)

eTeam

Generative AI Developer

Denver, CO · On-site

... SQL • REST • SOAP APIs • Experience with enterprise systems SAP, Client, etc. Qualifications : Required : • Strong Python development • FastAPI • ML libraries • ML frameworks • ...

CFS

Software Engineer - Lumin Digital

Denver, CO

Symitar PowerOn, Java, Python, SQL, TypeScript, and other proprietary programming languages. * Experience with modern development frameworks such as React, Angular, .NET, Bootstrap, Spring, Django ...

Trimble

Machine Learning Data Scientist

Westminster, CO

$122K - $165K/yr

Proficiency in Python and SQL for data manipulation and algorithm development. * Strong grasp of data engineering concepts including data lakes, ETL tools, and columnar formats. * Experience in ...

Pwc

GenAI Python Systems Engineer-Manager

Denver, CO

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Libra Solutions

Strategy Analyst

Denver, CO

Experience and comfort with Python, SQL and Excel * Comfortable handling sometimes ambiguously defined problems, developing creative solutions and delivering meaningful results * Analytically curious ...

Libra Solutions

Strategy Analyst

Denver, CO · On-site

Experience and comfort with Python, SQL and Excel * Comfortable handling sometimes ambiguously defined problems, developing creative solutions and delivering meaningful results * Analytically curious ...

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$88

How much do python sql jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for python sql 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 some typical projects or tasks a Python SQL professional might work on?

Python SQL professionals often work on data extraction, transformation, and loading (ETL) processes, as well as analyzing large datasets to generate reports and insights for business decision-making. They may develop automated scripts to streamline data workflows and ensure data quality, or assist with database design and optimization. Collaboration with data analysts, engineers, and business stakeholders is common, so comfort working both independently and as part of a cross-functional team is beneficial. These tasks help organizations make data-driven decisions and maintain efficient, reliable data systems.

Does SQL work well with Python?

Python is widely used for working with SQL databases, with libraries like sqlite3, SQLAlchemy, and pandas enabling seamless integration. These tools allow Python scripts to execute queries, manage data, and automate database operations efficiently, making SQL and Python a common combination for data analysis and backend development.

What jobs can I do with Python and SQL?

Jobs that require Python and SQL include data analyst, data scientist, database administrator, backend developer, and business intelligence analyst. These roles involve data manipulation, database management, automation, and developing data-driven applications, often requiring knowledge of related tools like pandas, SQL queries, and data visualization software.

What is a Python SQL job?

A Python SQL job typically involves using Python programming and SQL databases to develop, manage, and analyze data. Professionals in this role work with databases to write queries, retrieve and manipulate data, automate tasks, and optimize performance. Common responsibilities include database querying, data analysis, ETL processes, and backend development. These roles are common in industries like finance, healthcare, and technology, where data management and processing are critical.

What are the key skills and qualifications needed to thrive in the Python Sql position, and why are they important?

To excel in a Python SQL role, you should have strong programming skills in Python, a solid understanding of SQL for database querying, and a relevant degree in computer science or a related field. Experience with data analysis tools, relational database systems like MySQL or PostgreSQL, and certifications such as Microsoft SQL Server or Python programming can be advantageous. Strong problem-solving abilities, attention to detail, and clear communication are critical soft skills for this position. These competencies are necessary to efficiently manipulate data, create robust solutions, and collaborate across technical and non-technical teams.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential, but employers often seek additional skills such as data analysis, problem-solving, and familiarity with frameworks or tools like pandas or Django. Certifications and practical experience can also improve job prospects, as many positions require a combination of technical knowledge and real-world application.

What is the salary of SQL and Python?

Salaries for roles involving SQL and Python vary based on experience, location, and industry, but typically range from $70,000 to $120,000 annually for mid-level positions. Entry-level roles may start around $60,000, while experienced developers or data scientists can earn over $130,000. Skills in data analysis, database management, and programming are highly valued in these roles.
What are popular job titles related to Python Sql jobs in Denver, CO? For Python Sql jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Python Sql jobs in Denver, CO look for? The top searched job categories for Python Sql jobs in Denver, CO are:
Python Sql jobs near you
Infographic showing various Python Sql job openings in Denver, CO as of June 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $125,503 per year, or $60.3 per hour.

Sr. Transportation Analyst - Denver, CO | Remote (Hybrid)

QUICK HOLDINGS LLC

Denver, CO • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

Description

The Sr. Transportation Analyst is responsible for optimizing parcel shipping operations through advanced analytics, automation, and data-driven insights. This role combines parcel expertise with modern technical skills, including AI-enabled analysis, workflow automation, dashboard development, and predictive modeling. 

Requirements

Essential Duties & Job Functions: 

  • Analytics, AI, & Automation - Develop predictive models using AI/ML or advanced statistical tools to forecast parcel spend, transit-time risks, service delays, and cost-saving opportunities. Build workflow automations using Python, SQL automation, Alteryx, RPA tools, or similar platforms to streamline invoice audits, data processing, and recurring reporting.
  • Parcel Operations & Optimization - Analyze parcel shipping data to identify trends, inefficiencies, and savings opportunities. Build customized carrier mix models and client shipping solutions to optimize performance and profitability.
  • Client Consulting & Cross-Functional Support - Present parcel performance insights, cost savings models, and optimization strategies to clients and internal stakeholders. Support Sales and Business Development by creating data-backed pricing models and parcel solution proposals.
  • Continuous Improvement & Strategy - Stay current on transportation technology, AI applications in logistics, parcel carrier updates, and regulatory changes. Recommend process improvements, automation opportunities, and technology enhancements to increase accuracy, efficiency, and client value.

Mandatory Qualifications: 

  • Bachelor's degree in supply chain, Logistics, Business, Finance, Analytics, Data Science, or related field.
  • 2-5 years of experience in parcel logistics, transportation analytics, or supply chain operations.
  • Strong analytical and problem-solving skills with proficiency in Excel and data visualization tools (Power BI, Tableau, Looker, etc.).
  • Working knowledge of SQL and experience querying large datasets.
  • Experience with parcel or shipping software (ShipStation, Shipium, UPS WorldShip, FedEx Ship Manager).
  • Familiarity with ERP/WMS/TMS systems and carrier rate structures, DIM logic, and surcharges.
  • Excellent communication skills and ability to explain complex data insights to non-technical audiences.
  • Ability to work independently, prioritize effectively, and collaborate within cross-functional teams.
Preferred Qualifications:
  • Experience using AI/ML tools for forecasting, anomaly detection, or logistics optimization.
  • Experience integrating data through APIs or building ETL workflows (Alteryx, dbt, cloud data tools).
  • Background in freight bill auditing, chargeback management, or 3PL operations.
  • Familiarity with carrier contract negotiation, RFPs, and pricing strategy.
  • Experience with Shipium or other modern parcel optimization platforms.
  • Comprehensive benefits including health, dental, and vision coverage. 
  • 401(k) with 4% company matching. 
  • Generous paid time off and holiday schedule. 
  • Professional development and training opportunities. 

Quickbox is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or other protected characteristics. We encourage candidates to apply even if they don't meet every listed requirement-your unique perspective may be exactly what we need!  

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