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Sql Python Data Engineer Jobs in Colorado (NOW HIRING)

Lead Data Engineer

Aurora, CO · On-site

$135K - $155K/yr

Principal Data Engineer Location: Remote (within the U.S.) Environment: Remote Status: Exempt ... Exceptional SQL development and performance tuning skills * Strong experience with Python language ...

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal ... Write efficient, reusable SQL and/or Python for data ingestion, transformation, and integration.

Snowflake Data Engineer

Broomfield, CO · On-site

$115K - $138K/yr

Hands‑on experience in Data Warehousing, ETL, SQL, Python, DBT, Snowflake, Cortex Code AI / Gen ... Experience in leading end‑to‑end design and delivery of scalable data engineering solutions ...

Lead Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Write efficient, reusable SQL and/or Python for data ingestion, transformation, and integration ... Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience ...

Snowflake Data Engineer

Broomfield, CO · On-site

$115K - $138K/yr

Required Skill and Experience • Hands-on experience in Data Warehousing, ETL, SQL, Python, DBT ... data engineering solutions using Snowflake, dbt, and Python, ensuring high-performance data ...

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

Job Summary (Lead Data Engineer - Englewood, CO) - Lead the design, development, and maintenance of ... Python, Scala/Java, SQL, Big Data tools, statistical analysis. - Good to have: AWS, Linux, text ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with orchestration tools

$113K - $136K/yr

Python (PySpark/pandas) skills * Experience with SQL and distributed data systems (e.g., Spark ... Uses AI-assisted engineering tools (Claude Code, Codex, Cursor, etc.) as part of daily workflow

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with orchestration tools

Data Engineer

Aurora, CO · On-site

$62K - $141K/yr

R0246480 Data Engineer The Opportunity: Ever-expanding technology and collection methodologies ... Python, SQL, or Scala * 2+ years of experience with PostgreSQL or Kafka * Experience with AWS ...

Data Engineer

Aurora, CO · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Experience with ETL development using Java, Python, SQL, or Scala in an academic or professional ...

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Strong knowledge and experience in SQL, Python, and data modeling. * Experience with cloud ...

Big Data Engineer

Aurora, CO · On-site

$56.50 - $74.75/hr

... Python) • Expertise in data processing frameworks (e.g., Spark) • Skill in working with data ... SQL) • Ability to handle structured and unstructured data • Proficiency in data workflow ...

Data Engineering Lead

Denver, CO · Hybrid

$118K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Strong knowledge and experience in SQL, Python, and data modeling. * Experience with cloud ...

Data Engineer

Aurora, CO · On-site

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology and collection methodologies means that ... Java, Python, SQL, or Scala * Experience with AWS services * Knowledge of the ML lifecycle and ...

Data Engineering Lead

Denver, CO · On-site

$117K - $141K/yr

THE ROLE We are searching for a new role - a Data Engineering Lead - to join our client's team in ... Strong knowledge and experience in SQL, Python, and data modeling. * Experience with cloud ...

Data Engineer

Aurora, CO · On-site

$150K - $185K/yr

Develop robust, reusable code in Python and Spark to support distributed data workflows. * Manage ... Knowledge of Scala, SQL and R Salary is commensurate with experience. Salary range for this ...

Showing results 41-60

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.

Lead Data Engineer

Aurora, CO • On-site

Redwood Logistics, LLC
Transportation and Warehousing • 1 - 5K employees

$135K - $155K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Lead and mentor a team of data engineers, providing guidance, support, and technical expertise

  • Design, develop, and maintain scalable data pipelines, data vault, data warehouses, and data marts

  • Collaborate with stakeholders to deliver key metrics and establish data strategy


Job description

Careers at Redwood LogisticsBack to Job Openings Lead Data Engineer

Lead Data Engineer

Reports To: Principal Data Engineer

Location: Remote (within the U.S.)

Environment: Remote

Status: Exempt, Salaried

Who We Are:

Recognized by Gartner in their Modern 4PL Market Guide, Redwood Logistics is at the forefront of industry innovation. Our cutting-edge supply chain technology pairs with the expertise of our brilliant minds to empower logistics execution across North America and Mexico.

Leveraging a comprehensive range of services, data-centric network solutions, and a seamlessly integrated platform, we have established our prominence as a key player in the mid-market segment within the freight tech industry.

Whether you’re just starting your career or are an established professional looking for your next opportunity, Redwood inspires innovation across teams to provide transformative solutions for our customers.

Purpose of Your Work:

As Lead Data Engineer working within Shared Services (one of our entities), you will be responsible for leading a team of data engineers working on designing, developing, and maintaining scalable data pipelines, a data vault, and various data warehouses and marts. You will work with stakeholders across all departments to deliver key metrics across a variety of functional areas, as well as participate in establishing data strategy.

How You Make a Difference Everyday:

  • Lead and mentor a team of data engineers, providing guidance, support, and technical expertise
  • Manage backlog grooming, sprint planning, and prioritization activities for data engineering projects
  • Collaborate with business and technical leaders to set and execute both strategic and tactical initiatives
  • Stay current with emerging trends and technologies in data engineering. Identify and evaluate new platforms and tools to enhance the tech stack and improve data infrastructure and processes
  • Design, develop, and maintain robust data pipelines from various TMS and other data sources.
  • Design and implement new data structures or extend existing structures to support evolving business requirements
  • Ensure the accuracy, reliability, and completeness of data through effective data validation and monitoring processes
  • Develop and maintain our Data Vault, Data Warehouse, and Data Marts to deliver key metrics to operational and business stakeholders
  • Collaborate with a wide variety of users, including internal stakeholders, executives, clients, engineers, and external vendors
  • Improve and harden processes like code deployments, data validation, error handling/alerting, data democratization, and modernizing tech debt

You’ve Got This?

  • Bachelor’s Degree required (or equivalent experience); preference in Business Administration, Mathematics, Computer Science, or related field
  • Creative thinker who is intellectually curious, with a passion for solving puzzles and continuous learning
  • 8+ years technology experience with one or more of the following:
    • Amazon Relational Database Service (Aurora, MySQL)
    • Microsoft SQL Server
    • Snowflake
  • Exceptional SQL development and performance tuning skills
  • Strong experience with Python language, libraries, applications, and concepts:
    • Pandas
    • Streamlit
    • NumPy
    • Understanding of JSON and CSV
    • Requests
  • Experience with the following is a strong plus:
    • TMS, WMS, or other enterprise logistics platforms
    • Data Vault 2.0
    • Fivetran
    • Azure Data Factory
    • REST API
    • Proficiency in clouds platforms such as AWS, Azure, or Google Cloud
    • Coalesce.io
    • YAML
  • Experience with git, DevOps, and CI/CD is a strong plus
  • Self-starter, entrepreneurial, highly adaptable who can take initiative in a fast-moving environment.
  • Strong communication and leadership skills

What We Offer:

  • Access to experts and resources for your Learning & Development journey
  • Opportunity for internal mobility
  • Employee referral bonus program
  • Employee Resource Groups (ERGs)
  • Annual fundraising and volunteer events to give back to communities
  • Paid time off, floating holidays, time off to volunteer and rollover
  • Paid parental leave
  • Medical, dental, vision and 401k plans (with match)
  • Flexible spending account, mass transit and dependent care plans available
  • Health savings account, with a annual company contribution for plan participants
  • Short-term and long-term disability; life insurance policies subsidized by company
  • Additional benefits including pet insurance, accident care, access to legal advice and more

Work Schedule:

This position is full-time and remote Monday through Friday from 8:00 AM to 5:00 PM with an hour break, but flexibility is available based on coverage.

Compensation Range:

Salary Range:

$135,000 - $155,000

This position is eligible to earn annual incentives based on individual and company performance.

The estimated pay range reflects an anticipated range for this position. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the geographical location in which the applicant lives and/or which they will be performing the job.

Redwood is an equal opportunity employer. Employment decisions at the Company are based on individual merit, qualifications, abilities, and the Company’s needs and resources. The Company does not discriminate in recruiting, hiring, compensation, promotions, discipline, termination or any other aspect of employment on the basis of an individual’s actual or perceived race, color, creed, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, national origin, ancestry, citizenship status, age, disability, marital status, military service or status, genetic information, arrest and conviction record, credit history, or any other basis protected by applicable law.

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