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Airflow Engineer Jobs in Colorado (NOW HIRING)

Sr. Data Engineer

Broomfield, CO · On-site

$106K - $144K/yr

Develop and orchestrate pipelines using managed Airflow (Astronomer) with production-grade DAG ... Apply software engineering best practices including: * CI/CD pipelines (GitHub Actions, Azure ...

Sr. Data Engineer

Broomfield, CO · On-site

$106K - $144K/yr

Develop and orchestrate pipelines using managed Airflow (Astronomer) with production-grade DAG ... Apply software engineering best practices including: * CI/CD pipelines (GitHub Actions, Azure ...

Data engineer requirement

Denver, CO · On-site

$117K - $141K/yr

... Airflow. • Write and optimize SQL queries for Snowflake-based data transformations and ... DevOps for data pipelines Company : ClifyX provides innovative business solutions which satisfy ...

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

... Composer (Airflow), and Pub/Sub ▸ Develop Java-based data ingestion and transformation ... data engineering with at least 3 years on Google Cloud Platform ▸ Hands-on expertise with ...

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Data Engineer Duration : 8+ Months Location : Onsite Denver CO (Only local Profiles) Required ... Snowflake, Jenkins & Airflow experience is nice to have. • The analyst will be working on the ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Contribute to orchestration design and implementation (Airflow, Dagster, Prefect) * Support DBT ... engineering * Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with ...

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Contribute to orchestration design and implementation (Airflow, Dagster, Prefect) * Support DBT ... engineering * Strong SQL skills with BigQuery, Snowflake, or Redshift * Hands-on work with ...

... 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 ...

Our business spans satellite television service, streaming and on-demand programming, smart home ... Python, Airflow, Prometheus, Mimir, Loki, Grafana. * Spark, Kinesis, Lambda, Gitlab. Benefits ...

Data Engineer II

Littleton, CO · On-site

$112K - $134K/yr

... Airflow, Prometheus, Mimir, Loki, Grafana • 2 years of experience with Spark, Kinesis, Lambda, Gitlab Company : EchoStar Corporation (Nasdaq: SATS) is a premier provider of technology, networking ...

Our business spans satellite television service, streaming and on-demand programming, smart home ... Python, Airflow, Prometheus, Mimir, Loki, Grafana. * Spark, Kinesis, Lambda, Gitlab. Benefits ...

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Showing results 1-20

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:
Sr. Data Engineer

Sr. Data Engineer

Crocs

Broomfield, CO • On-site

$106K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Crocs rating

6.9

Company rating: 6.9 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

20th of 104 rated fashion retailers


Job description

At Crocs, Inc., every career offers a chance to make a real impact. No two journeys look the same. And that's exactly how we like it. Whether you're welcoming customers into our stores, collaborating with global teams at our headquarters, or keeping operations moving at our distribution centers, your impact is real and valued. At Crocs, Inc. you're not expected to fit a mold. You're encouraged to break it and create something better.
Overview
The Senior Data Engineer at Crocs, Inc. will design, build, and scale our next-generation cloud data platform. This role will play a critical part in developing a modern Snowflake-based data ecosystem, leveraging dbt for transformation, managed Airflow (Astronomer) for orchestration, and emerging AI/ML tooling to unlock advanced analytics and intelligent data products. This role will partner closely with analytics, data science, and business stakeholders to deliver reliable, scalable, and well-governed data solutions that power enterprise decision-making.
What You'll Do
  • Design and implement scalable data pipelines using ELT patterns in Snowflake.
  • Build and maintain transformation workflows using DBT, ensuring modular, testable, and reusable models.
  • Develop and orchestrate pipelines using managed Airflow (Astronomer) with production-grade DAG design.
  • Support a medallion architecture (Bronze, Silver, Gold) with clear data contracts and domain ownership.
  • Define and implement scalable data models using dimensional modeling (Kimball) and modern analytics engineering practices.
  • Partner with domain teams to design business-aligned data models and curated data products.
  • Contribute to data architecture decisions around domain-oriented design and data sharing strategies.
  • Apply software engineering best practices including:
    • CI/CD pipelines (GitHub Actions, Azure DevOps)
    • Automated testing (dbt tests, data quality frameworks)
    • Code reviews and version control
  • Optimize performance and cost across Snowflake (warehouses, query tuning, storage optimization).
  • Design robust, scalable workflows in Airflow (Astronomer), including dependency management, retries, and observability.
  • Automate ingestion and transformation processes using event-driven or scheduled patterns.
  • Improve reliability and reduce manual intervention through proactive monitoring and alerting.
  • Enable data for AI/ML use cases, including feature engineering and model-ready datasets.
  • Integrate modern AI tooling such as:
    • LLM-powered data workflows (e.g., metadata generation, query generation, documentation)
    • Data quality anomaly detection
    • AI-assisted development (e.g., code generation, testing acceleration)
  • Collaborate with data science teams to operationalize ML models and pipelines.
  • Implement data quality checks, lineage tracking, and monitoring across pipelines.
  • Ensure compliance with data governance standards and secure data access patterns.
  • Contribute to cataloging and documentation (e.g., Collibra, Alation, or similar tools).
  • Partner with analytics, product, and business stakeholders to translate requirements into scalable solutions.
  • Mentor junior and offshore engineers and promote best practices across the team.
  • Drive continuous improvement and adoption of modern data engineering standards.

What You'll Bring to the Table
  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred).
  • 3+ years of experience in data engineering or analytics engineering roles.
  • Proven experience building and scaling enterprise data platforms in the cloud.
  • Snowflake: Advanced experience in data modeling, performance tuning, and cost optimization.
  • DBT (Data Build Tool): Strong experience building modular transformations, tests, and documentation.
  • Airflow (Managed/Astronomer preferred): Expertise in DAG design, scheduling, and orchestration patterns.
  • Strong proficiency in SQL (advanced query optimization, complex transformations).
  • Strong proficiency with Python for pipeline development, orchestration, and automation.
  • Experience with Azure (Data Lake, Key Vault, Functions) or similar cloud platforms.
  • Familiarity with modern data stack tools (e.g., Kafka/Event Hub, REST APIs, SFTP ingestion patterns).
  • Deep understanding of dimensional modeling (Kimball) and modern ELT practices.
  • Experience designing data models for BI tools (e.g., Power BI, Looker).
  • Experience with Git-based workflows, CI/CD pipelines, and environment promotion strategies.
  • Familiarity with infrastructure-as-code and deployment automation.
  • Experience working with or supporting machine learning pipelines.
  • Familiarity with:
    • LLMs and AI-assisted development tools (e.g., GitHub Copilot, ChatGPT)
    • Feature stores or model serving patterns
    • Data preparation for AI/ML use cases
  • Strong communication skills with the ability to translate technical concepts for business stakeholders.
  • Highly collaborative with a proactive, ownership-driven mindset.
  • Passion for mentoring and elevating team capabilities.
  • Curious and adaptable, with a focus on continuous learning and innovation.
  • Experience migrating from legacy platforms (e.g., Databricks, Informatica) to modern stacks.
  • Familiarity with data cataloging and governance tools (Alation, Collibra).
  • Experience with real-time or streaming data pipelines.

#LI-AE1
The Company is an Equal Opportunity Employer committed to a diverse and inclusive work environment. We accept applications on an ongoing basis.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or disability, or any other classification protected by law.
Title: Sr. Data Engineer
Salary or Pay Range: $115,000 - $125,000
Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities.
At Crocs, Inc. we believe in the power of a blend of in-person and virtual collaboration to drive creativity and strengthen relationships. Your participation in this flexible schedule plays a key role in building a connected and successful team. In-office requirements vary by our work personas: Resident (5 days), Collaborator (4 days), Connector (2-3 days), Explorer (fully remote). This role has been aligned to the Collaborator persona.
This organization participates in E-Verify.
This position is eligible to participate in a company incentive program.
This position is eligible for company benefits including but not limited to medical, dental, and vision coverage, life and AD&D, short and long-term disability coverage, paid time off, employee assistance, participation in a 401k program that includes company match, and many other additional voluntary benefits.
The application window is 45 days, but applicants are encouraged to apply as soon as possible after the posting date in order to ensure optimal consideration. The posting will be removed if the job is filled before the application window deadline.
Job Category: Corporate

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