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Sql Python Data Engineer Jobs in Colorado (NOW HIRING)

Sr. Data Engineer

Greenwood Village, CO · On-site

$115K - $139K/yr

Advanced SQL skills (ETL) * Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python * Experience with BigData tools, particularly Spark, and familiarity ...

Data Engineer

Denver, CO · On-site

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred. * Experience ...

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

SQL, Python, Java, R, C# / C++ / C * Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle * DevOps: git, docker, subversion, Kubernetes, Jenkins * Additional ...

Data Engineer (AWS, Azure, GCP)

Denver, CO · On-site

$117K - $141K/yr

SQL, Python, Java, R, C# / C++ / C * Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle * DevOps: git, docker, subversion, Kubernetes, Jenkins * Additional ...

Data Engineer, Principal

Denver, CO · On-site

$100 - $125/hr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Hands‑on experience with SQL, Python, DBT Cloud, and DBT Core; expert‑level fluency in NoSQL ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Scripting and programming in Python * SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc ... Data visualization tools (Tableau, QuickSight, Power BI, etc.) * Validating data accuracy and ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Scripting and programming in Python * SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc ... Data visualization tools (Tableau, QuickSight, Power BI, etc.) * Validating data accuracy and ...

Data Engineer

Denver, CO · On-site

$110K - $120K/yr

Scripting and programming in Python * SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc ... Data visualization tools (Tableau, QuickSight, Power BI, etc.) * Validating data accuracy and ...

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ... Experience working with Python * Strong communication skills both in person and via virtual mediums

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and ...

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ... Experience working with Python * Strong communication skills both in person and via virtual mediums

Data Engineer

Denver, CO · On-site

$100 - $125/hr

... of SQL, databases (MySQL / Redshift / Athena), Data modeling Workflow orchestrators (Dagster ... working with Python * Strong communication skills both in person and via virtual mediums

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ... Experience working with Python * Strong communication skills both in person and via virtual mediums

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ... Experience working with Python * Strong communication skills both in person and via virtual mediums

Data Engineer

Denver, CO · On-site

$85K - $125K/yr

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ... Experience working with Python * Strong communication skills both in person and via virtual mediums

Knowledge of SQL, databases (MySQL / Redshift / Athena), Data modeling * Workflow orchestrators ... Experience working with Python * Strong communication skills both in person and via virtual mediums

Showing results 21-40

Sql Python Data Engineer information

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.

What cities in Colorado are hiring for Sql Python Data Engineer jobs?

Cities in Colorado with the most Sql Python Data Engineer job openings:

Infographic showing various Sql Python Data Engineer job openings in Colorado 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.

Sr. Data Engineer

Greenwood Village, CO • On-site

$115K - $139K/yr

Other

Medical, Dental, Vision

Re-posted 28 days ago


Key responsibilities

  • Design, develop, and maintain scalable ETL pipelines to ensure data quality and availability

  • Implement monitoring and alerting solutions to ensure data pipeline reliability and performance

  • Develop and manage deployment pipelines to facilitate continuous integration and delivery of data engineering solutions


Job description


Requirements:


Top 3 Requirements:



  • Advanced SQL skills (ETL)

  • Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python

  • Experience with BigData tools, particularly Spark, and familiarity with Hadoop ecosystems

  • Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR


Plusses:



  • Understanding of AI technologies and their application (kiro, claude, genAI tools)


Job Description:


As part of the Network Analytics team, the Sr Data Engineer role is crucial in building and maintaining the data infrastructure that supports the clients enterprise networks. This position focuses on constructing robust ETL pipelines using Spark to ensure data availability and quality for analytics tasks. The role requires expertise in data engineering, leveraging AWS for scalable solutions and enhancing operational efficiency. Additionally, the position demands the ability to prioritize efforts, synthesize actionable insights, and effectively communicate findings to audiences with diverse agendas and varying levels of technical expertise.


MAJOR DUTIES AND RESPONSIBILITIES



  • Design, develop, and maintain scalable ETL pipelines to ensure data quality and availability

  • Implement monitoring and alerting solutions to ensure data pipeline reliability and performance

  • Develop and manage deployment pipelines to facilitate continuous integration and delivery of data engineering solutions

  • Manage and optimize data storage solutions, including:


    • Distributed file systems

    • Relational databases

    • Flat files

    • External sources accessed via API


  • Implement data integration solutions to support analytics and reporting needs

  • Collaborate across teams to ensure data solutions align with existing production architectures and business requirements

  • Provide technical leadership and guidance on data engineering best practices and methodologies

  • Document and communicate data engineering processes and standards to business intelligence, data, and analytics professionals with varied backgrounds

  • Continuously evaluate and improve data engineering tools and approaches to enhance performance and efficiency

  • Perform other duties as required


REQUIRED QUALIFICATIONS


Skills/Abilities and Knowledge



  • Ability to read, write, speak, and understand English

  • Strong communication and collaboration skills

  • Expertise in data engineering languages such as Scala (preferred) or Java, with proficiency in Python

  • Experience with BigData tools, particularly Spark, and familiarity with Hadoop ecosystems

  • Proficiency in building and managing ETL pipelines

  • Experience with cloud platforms like AWS, including services such as S3, Lambda, Redshift, and EMR

  • Strong understanding of relational databases and SQL, and familiarity with NoSQL databases

  • Knowledge of data architecture, data warehousing, and data marts

  • Experience in implementing monitoring solutions and deployment pipelines for data applications

  • Ability to work with distributed systems and manage data storage solutions

  • Demonstrated ability and desire to continually expand skill set, and learn from and teach others


PREFERRED QUALIFICATIONS


Skills/Abilities and Knowledge



  • Experience with Linux-based operating systems

  • Knowledge of other relevant techniques such as text analysis and text mining



Education


Bachelors degree (or relevant experience) in computer science, mathematics, statistics, physics, operations research, or other quantitatively-focused fields


Beacon Hill is an equal opportunity employer and individuals with disabilities and/or protected veterans are encouraged to apply.


California residents: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.


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Company Profile:
Beacon Hill Technologies, a premier National Information Technology Staffing Group, provides world class technology talent across all industries utilizing a complete suite of staffing services. Beacon Hill Technologies' dedicated team of recruiting and staffing experts consistently delivers quality IT professionals to solve our customers' technical and business needs.
Beacon Hill Technologies covers a broad spectrum of IT positions, including Project Management and Business Analysis, Programming/Development, Database, Infrastructure, Quality Assurance, Production/Support and ERP roles.


Learn more about Beacon Hill and our specialty divisions, Beacon Hill Associates, Beacon Hill Financial, Beacon Hill HR, Beacon Hill Legal, Beacon Hill Life Sciences and Beacon Hill Technologies by visiting .


Benefits Information:


Beacon Hill offers a robust benefit package including, but not limited to, medical, dental, vision, and federal and state leave programs as required by applicable agency regulations to those that meet eligibility. Upon successfully being hired, details will be provided related to our benefit offerings.



We look forward to working with you.
Beacon Hill. Employing the Future