1

Data Analyst Python Sql Jobs in Fort Collins, CO

Level III Data Engineer

Fort Collins, CO · On-site

$100K - $120K/yr

This role requires solid experience with Python (including PySpark/Apache Spark), experience ... analysts and senior engineers to turn requirements into working data solutions. · Use AI ...

Perform regular system backups and data restores as necessary. * As required support IT/OT ... NET, C#, Python, PowerShell, and SQL. Required Skills/Abilities: * Proven ability to administer ...

Solutions Engineer, Remote

Greeley, CO · On-site

$57.69 - $67.31/hr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success. * Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Senior Ballistics Analyst

Berthoud, CO · On-site

$107K - $134K/yr

Perform test data review and be capable of drawing meaningful conclusions to influence future ... Proficiency in Matlab, Python, C++, Fortran, or similar programming languages * Hands-on experience ...

Showing results 41-60

Data Analyst Python Sql information

See Fort Collins, CO salary details

$33.7K

$81.8K

$134.6K

How much do data analyst python sql jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analyst python sql in Fort Collins, CO is $81,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,900.00 and $96,000.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Fort Collins, CO?

For Data Analyst Python Sql jobs in Fort Collins, CO, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Fort Collins, CO look for?

The top searched job categories for Data Analyst Python Sql jobs in Fort Collins, CO are:

What cities near Fort Collins, CO are hiring for Data Analyst Python Sql jobs?

Cities near Fort Collins, CO with the most Data Analyst Python Sql job openings:

Level III Data Engineer

Blue Margin

Fort Collins, CO • On-site

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

About Us 

At Blue Margin, we’re on a mission to build the go-to data platform for PE-backed mid-market companies. We provide hosted data platforms that help executives and operators turn data into a strategic advantage. We’re passionate about helping clients increase company value through better analysis and decision-making, and we’re looking for a Level III Data Engineer to strengthen our team.

Job Description

As a Level III Data Engineer, you will build, maintain, and improve the data platforms that power analytics for our clients. You will be hands-on with data pipelines, large-scale data processing, and modern cloud data stacks, working within Blue Margin’s architecture and standards. You will also help build and extend the MCP Servers that connect our data platforms to AI and natural-language applications. This role requires solid experience with Python (including PySpark/Apache Spark), experience working with high-volume data, and Delta Lake–based architectures. Exposure to Snowflake or Microsoft Fabric, and tools like Fivetran, Azure Data Factory, Synapse Pipelines, and MCP Servers, is highly valued.

On this team, you will help build and maintain our MCP Servers - the servers, their tools, and functionality, along with the performance, reliability, and security behind them. A separate team owns the data modeling and context gathering that power natural-language querying, so your focus stays on building reliable platform capabilities.

If you’re motivated by solving complex data challenges, thrive in a collaborative environment, and enjoy applying AI to increase engineering productivity, this role offers the opportunity to grow your craft and make a meaningful technical impact. We are seeking a candidate to work as a full-time employee in one of our local offices in Fort Collins or Denver where we work in a hybrid structure.

Please note that we are interested in every qualified candidate who is eligible to work in the United States. However, we cannot sponsor visas. 

Responsibilities

· Build, test, and optimize data pipelines using tools like PySpark, SparkSQL, Delta Lake, and cloud-native tools.

· Support incremental/delta data loading, partitioning, and performance tuning.

· Implement and support solutions across Azure Synapse, Microsoft Fabric, and/or Snowflake environments.

· Collaborate with analysts and senior engineers to turn requirements into working data solutions.

· Use AI/automation to improve development speed, testing, and data quality.

· Help build and extend custom MCP Servers, including their tools and functionality, that expose our data platforms to AI applications.

· Follow software engineering best practices, API and service design, testing, and secure authentication, in platform and MCP Server development.

· Follow team coding standards and best practices, and contribute improvements where you see them.

· Uphold standards for data quality, security, and governance.

· Contribute to solution design for client engagements with the guidance of senior engineers.

Qualifications

· Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

· 4+ years of professional experience in data engineering, with emphasis on Python & PySpark/Apache Spark.

· Good communication skills; ability to explain technical details to both engineers and business stakeholders.

· Concrete experience leveraging AI and AI-assisted tools to accelerate engineering workflows.

· Experience managing large datasets and optimizing for speed, scalability, and reliability.

· Solid SQL skills and understanding of relational and distributed data systems.

· Exposure to Azure Data Factory, Synapse Pipelines, Fivetran, Delta Lake, Microsoft Fabric, MCP Servers, or Snowflake.

· Familiarity with data modeling, orchestration, and Delta/Parquet file management best practices.

· Familiarity with CI/CD, version control, and DevOps practices for data pipelines.

· Software engineering fundamentals & familiarity with LLM tool-calling or MCP Server patterns is a strong plus.

· Relevant certifications (Azure, Snowflake, or Fabric) are a plus. 

What Success Looks Like

We measure this role against clear.  Here are our shared expectations and why they matter:

  •  Utilization: 75-80% - this reflects consistent delivery of high-value work and drives strong operating performances
  •  Pipeline Reliability & Data Accuracy: 98%+ of schedule runs succeed for issues within our control (failures from client-side changes or source-system outages don't count); raw data reconciles to source - stable pipelines that keep raw data accurate are the foundation clients build every decision on.
  • Incident Resolution: critical pipeline failures resolved within 1 business day - fast fixes keep client reporting trustworthy and limit downstream disruption
  • Quality & Adherence to Standards: clean builds that follow Blue Margin standards and work done right the first time - consistent, standard-based work keeps the platform reliable and reduces rework. 

Our Culture

· Company Core Values: Commit to Quality, Embrace Transparency, Choose to Be Positive, Be Efficient/Systematize, Pursue Learning, Be Generous. 

· We believe that in-person interaction is vital to solid work relationships, and we cater lunch every Friday.

· Weekly personal and professional development programs for all. 

· Teamwork – we maintain company-wide interaction and communication. 

· Entrepreneurism – we want everyone on our team to be eager to adapt and evolve with our advancing business. We are looking for someone who is comfortable wearing more than one hat. 

Work Environment and Physical Requirements:

· This position may require minimal physical effort including lifting materials and equipment of less than 10 pounds. This position requires viewing a computer screen more than 80 percent of the time. The job will take place in a normal office environment with controlled temperature and lighting conditions. This position may require some travel and occasional participation in off-site functions.

Salary and Benefits: 

· This is a full-time position with a starting salary range of $100K – $120K and is commensurate with experience and qualifications.

· Benefits include health, dental and vision insurance, short- and long-term disability, 401K matching, health club stipend, paid vacation, sick leave, and a bonus structure.