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Sql Python Data Engineer Jobs in Colorado Springs, CO

... Technology, Engineering and Math) field and 6 years in predictive modeling, model governance ... Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark ...

New

... Technology, Engineering and Math) field and 6 years in predictive modeling, model governance ... Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark ...

New

... Technology, Engineering and Math) field and 6 years in predictive modeling, model governance ... Experience with various languages, applications, and technologies (such as SQL, Python, R, Spark ...

New

Showing results 21-40

Sql Python Data Engineer information

See Colorado Springs, CO salary details

$43.9K

$127.8K

$174.9K

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

As of Sep 10, 2026, the average yearly pay for sql python data engineer in Colorado Springs, CO is $127,834.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

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

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

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

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

Infographic showing various Sql Python Data Engineer job openings in Colorado Springs, CO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,834 per year, or $61.5 per hour.

FSR Analyst

Colorado Springs, CO • On-site

Full-time

Re-posted 20 days ago


Job description

Job Summary:
CGS Federal is seeking a skilled FSR Analyst to assist customers in transforming complex data into actionable insights and operational workflows. The role involves collaborating with teams to improve decision-making and embed analytics into daily operations using a governed data platform.
Responsibilities:
• Work on-site with users to understand operational goals and data challenges.
• Analyze complex datasets to support real-time and strategic decisions.
• Build analytical workflows, applications, and visualizations on top of integrated data.
• Translate ambiguous operational questions into structured analyses.
• Support live operations with timely, reliable insights.
• Collaborate with engineers to improve data quality, usability, and trust.
• Train users and promote data-driven workflows.
Qualifications:
Required:
• Strong analytical and problem-solving skills.
• Experience working with data (SQL, Python, spreadsheets, or analytics tools).
• Ability to clearly communicate insights to diverse audiences.
• Comfort working directly with customers in fast-paced environments.
• Interest in applied analytics and operational problem-solving.
• Active TS/SCI clearance or eligible.
Company:
Contact Government Services strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. Founded in , the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.