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Airflow Engineer Jobs in Colorado (NOW HIRING)

Senior Snowflake Data Engineer

Superior, CO · On-site

$107K - $145K/yr

Knowledge of orchestration tools such as Apache Airflow. * Experience with DevOps, automation, and Infrastructure as Code (IaC). * Snowflake certifications are a plus. * Experience working in Agile ...

New

Senior Snowflake Data Engineer

Louisville, CO · On-site

$110K - $150K/yr

Knowledge of orchestration tools such as Apache Airflow. * Experience with DevOps, automation, and Infrastructure as Code (IaC). * Snowflake certifications are a plus. * Experience working in Agile ...

New

(USA) Senior, Data Engineer

Denver, CO · On-site

$99K - $198K/yr

Utilize programming languages and tools such as SQL, Python, Spark and Apache Airflow for coding, testing, and deployment. * Monitor and improve data processes to support continuous innovation and ...

New

Knowledge of orchestration tools such as Apache Airflow. * Experience with DevOps, automation, and Infrastructure as Code (IaC). * Snowflake certifications are a plus. * Experience working in Agile ...

New

Senior Snowflake Data Engineer

Northglenn, CO · On-site

$107K - $145K/yr

Knowledge of orchestration tools such as Apache Airflow. * Experience with DevOps, automation, and Infrastructure as Code (IaC). * Snowflake certifications are a plus. * Experience working in Agile ...

New

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Airflow and Apache Hadoop for scalable data processing and workflow management - Building and ...

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer ... Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered ...

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

As a Principal Data Engineer, you will lead a team in building and maintaining scalable, reliable ... Expertise in KSQL, ClickHouse, ETL/ELT tools (e.g., Airflow, ADF, Glue, NiFi), and orchestration

About the Opportunity We are seeking a Senior Software Engineer to design, build, deploy, monitor ... Experience with CI/CD, Orchestration tools (Airflow, MLflow, Kubernetes, Terraform) and ML/data ...

Data Engineer - & GC

Denver, CO · On-site

$117K - $141K/yr

Role: Data Engineer Location: Denver, CO - 4 days per week work from Client office Please find ... Experience with workflow orchestration and scheduling tools (e.g., Airflow, Control-M, Azure Data ...

Sr. Data Engineer-ETL Location: Denver, CO Duration: 12 Months + Extension Bill Rate: $71/hour Job ... Experience or knowledge of data pipeline and workflow management tools: i.e., Apache Airflow, AWS ...

Showing results 21-40

Airflow Engineer information

What is the difference between Airflow Engineer vs Data Engineer?

AspectAirflow EngineerData Engineer
CredentialsOften requires knowledge of Python, SQL, and cloud platformsRequires similar skills plus database management and ETL experience
Work EnvironmentFocuses on designing and maintaining workflows in data pipelinesBuilds and manages data infrastructure and pipelines
Industry UsageCommon in data-driven companies, analytics teams, and cloud servicesUsed across industries for data integration, storage, and processing

While both roles involve data workflows, an Airflow Engineer specializes in creating and managing workflows using Apache Airflow, whereas a Data Engineer handles broader data infrastructure and pipeline development. The roles often overlap, but the Airflow Engineer focuses more on workflow orchestration within the data ecosystem.

What cities in Colorado are hiring for Airflow Engineer jobs? Cities in Colorado with the most Airflow Engineer job openings:

Senior Snowflake Data Engineer

2T Consulting

Superior, CO • On-site

$107K - $145K/yr

Full-time

Posted 2 days ago

New


Job description

We are seeking an experienced Senior Snowflake Data Engineer to design, develop, and optimize enterprise-scale data engineering solutions. The ideal candidate will have strong expertise in Snowflake, dbt, Python, ETL/ELT, and data warehousing, with experience building scalable data pipelines and modern cloud-based data platforms.

Primary Responsibilities
  • Design, develop, and maintain scalable data engineering solutions using Snowflake, dbt, and Python.
  • Build and optimize high-performance ETL/ELT pipelines and enterprise data warehouse solutions.
  • Design and implement scalable data models to support analytics and business intelligence.
  • Optimize data processing, storage, and query performance within Snowflake.
  • Leverage Cortex AI/GenAI capabilities for code generation, data validation, and pipeline optimization.
  • Collaborate with architects, business stakeholders, and cross-functional teams to deliver enterprise data solutions.
  • Lead technical design, implementation, and delivery of data engineering projects.
  • Mentor development teams and promote best practices in data engineering, CI/CD, and data governance.
  • Ensure high-quality, secure, and production-ready data solutions.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering.
  • Strong hands-on experience with Snowflake, dbt, and Python.
  • Expertise in ETL/ELT pipeline development and enterprise data warehousing.
  • Strong knowledge of data modeling, data transformation, and performance optimization.
  • Experience with CI/CD pipelines, version control, and data governance best practices.
  • Exposure to Snowflake Cortex AI or Generative AI capabilities is highly preferred.
  • Excellent analytical, problem-solving, stakeholder management, and communication skills.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of orchestration tools such as Apache Airflow.
  • Experience with DevOps, automation, and Infrastructure as Code (IaC).
  • Snowflake certifications are a plus.
  • Experience working in Agile/Scrum environments.