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Python Sql Jobs in Denver, CO (NOW HIRING)

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Analyze structured and unstructured data with Python and SQL.Build and validate predictive models.Communicate insights to stakeholders through reports and visualizations.Work with engineers to deploy ...

CEDENT

Sr. SQL Developer

Greenwood Village, CO · Hybrid

$40 - $60/hr

... o Shell o Python · AWS experience o Lambda o EC2 · Telecom Experience ? Day to Day ... SQL o Athena o Tableau · Ease them into the heavier lifting from a technical perspective o AWS ...

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Staff Software Engineer - Python / Agentic AI

Denver, CO · Remote

$150K - $175K/yr

Architect and develop high-concurrency backend services in Python (FastAPI/Django) to handle core ... Strong SQL skills (PostgreSQL/MS SQL) and production experience with OAuth2/JWT for secure service ...

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Keypixel Software Solutions

AI QA Engineer

Denver, CO · On-site

Proficiency in Python & SQL * Experience in API Testing * Familiarity with Cloud Applications * Minimum of 10 years in QA/Quality Engineering Preferred Skills * Experience with CI/CD pipelines for AI ...

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Python Sql information

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How much do python sql jobs pay per hour?

As of Aug 23, 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 is a Python SQL?

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 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.

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 a good combination?

Python and SQL are commonly used together in data analysis, database management, and backend development roles. Python's libraries like SQLAlchemy and pandas facilitate database interactions, making this combination valuable for automating data workflows and building data-driven applications.

Is Python and SQL enough to get a job?

For a Python SQL role, proficiency in both programming and database management is essential. While Python and SQL are core skills, employers often value additional knowledge such as data analysis, version control, and familiarity with frameworks or cloud platforms. Certifications and practical experience can also improve job prospects in this field.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data scientist, database administrator, backend developer, and machine learning engineer. These roles involve data management, analysis, automation, and building data-driven applications, often requiring knowledge of related tools like Pandas, SQL databases, and cloud platforms.

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 August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,503 per year, or $60.3 per hour.

AWS ETL Data Engineer ___ Denver, CO & Charlotte, NC ( Onsite) ___ Contract

Acestack

Denver, CO • On-site

$117K - $141K/yr

Contractor

Re-posted 11 days ago

Job description

There will a Coding test on Snowflake Schema for 1 Hour

Onsite form day 1.

-------------------------------------

Role: AWS Data Engineer
Location: Denver, CO & Charlotte, NC - 100% Onsite
6-12+ Months Contract -W2/C2C
 Job Description:

We are seeking a highly skilled Data Engineer to support the migration and enhancement of data workflows from Tidal to Apache Airflow, along with optimizing data processes on Snowflake and AWS. The ideal candidate will have strong experience in shell scripting, Python, SQL, and working in modern data warehouse environments.

Responsibilities:

  • Analyze and understand existing Tidal job dependencies, schedules, and scripts.
  • Develop shell scripts and Python-based workflows to replicate and enhance current Tidal processes in Airflow.
  • Write and optimize SQL queries for Snowflake-based data transformations and validations.
  • Collaborate with cross-functional teams to ensure data pipelines are robust, scalable, and well-documented.
  • Work with AWS S3 for data ingestion and storage processes.
  • Ensure high reliability and performance of data pipelines post-migration.
  • Provide support during testing and post-migration validation.

Required Skills:

  • Shell scripting – strong experience required
  • Python – strong experience required
  • SQL – strong experience required, preferably with Snowflake
  • AWS S3 – hands-on experience
  • Solid Data Warehouse background and understanding of ETL/ELT best practices

Preferred Skills (Nice to Have):

  • Experience with Apache Airflow
  • Prior experience with scheduling tool migrations, especially Tidal
  • Familiarity with CI/CD practices and DevOps for data pipelines
 
 
If interested to apply, please share resume to vivekk@acestackllc.com; Sanghab@acestackllc.com
 
 
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About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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