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Data Engineer Airflow Jobs in Colorado (NOW HIRING)

Senior Data Engineer

Denver, CO · On-site

$139K - $174K/yr

Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ... Experience with orchestration (Dagster or Airflow) and scheduling best practices * Familiarity with ...

Senior Data Engineer

Denver, CO · On-site

$139K - $174K/yr

Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ... Experience with orchestration (Dagster or Airflow) and scheduling best practices * Familiarity with ...

Senior Data Engineer

Denver, CO · On-site

$155K - $165K/yr

As a Senior Data Engineer, you'll be a key technical leader responsible for building and evolving ... Experience building and operating workflow orchestration tools such as Airflow. * Knowledge of ...

Senior Big Data Engineer

Westminster, CO · On-site

$56.25 - $74.50/hr

Mentor junior engineers, conduct code reviews, and contribute to establishing engineering best ... Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow. * Strong ...

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 ... Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure ...

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 ... Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure ...

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 ... Experience with cloud platforms (Azure, AWS, or GCP) and tools like Databricks, Airflow, or Azure ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Showing results 41-60

Data Engineer Airflow information

What does a data engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

How does a data engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.

What are the key skills and qualifications needed to thrive as a data engineer specializing in Airflow, and why are they important?

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What are popular job titles related to Data Engineer Airflow jobs in Colorado?

For Data Engineer Airflow jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Data Engineer Airflow jobs in Colorado look for?

The top searched job categories for Data Engineer Airflow jobs in Colorado are:

What cities in Colorado are hiring for Data Engineer Airflow jobs?

Cities in Colorado with the most Data Engineer Airflow job openings:

Senior Data Engineer

Capital Rx

Denver, CO • On-site

$139K - $174K/yr

Other

Re-posted 13 days ago


Key responsibilities

  • Build, test, and document Snowflake data models and business logic in dbt

  • Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes

  • Collaborate with cross-functional partners to define data contracts and interfaces


Job description

About Judi Health

Judi Health is a health technology company providing benefit administration solutions to employers, unions, health plans, and government entities. Judi Health replaces fragmented, outdated systems with the industry's first Unified Claims Processing architecture, seamlessly consolidating pharmacy and medical benefit administration on a single, secure platform. By delivering true price transparency, eliminating unnecessary middleman fees, and leveraging advanced AI-powered care delivery, Judi Health helps clients achieve unprecedented operational efficiency and service levels.
At Judi Health, we're deploying the infrastructure our country needs to deliver the healthcare we all deserve. We are the intelligence platform powering benefits plans for millions of Americans and proudly leading the next generation of care. To learn more, visit www.judi.health.

Position Summary:

Hybrid 3 days (office locations are New York City, Denver, and Charlotte)

Join our mission to transform pharmacy benefits and healthcare navigation as a Senior Data Engineer (Analytics Engineer). You will build and maintain reliable data models within Snowflake with dbt, and improve data quality and observability. Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented datasets that power analytics and products.

Position Responsibilities:

* Build, test, and document Snowflake data models and business logic in dbt

* Apply and improve data quality, testing, observability, and lineage standards

* Collaborate with cross-functional partners to define data contracts and interfaces

* Contribute to Capital Rx's modular data platform and client-specific data configurations

* Participate in design reviews; propose scalable, maintainable patterns

* Monitor pipeline health, troubleshoot incidents, and drive root-cause fixes

* Optimize cost and performance of jobs, storage, and queries with guidance

* Write clear documentation and support knowledge sharing

* Adhere to the Capital Rx Code of Conduct, including reporting of noncompliance

Preferred Qualifications:

* 5+ years in data engineering, software engineering, or related field

* Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling

* Hands-on dbt experience (models, tests, documentation, deployments)

* Experience with orchestration (Dagster or Airflow) and scheduling best practices

* Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred)

* CI/CD for data (Git-based workflows, environments), and basic IaC familiarity

* Data observability and testing (dbt tests, lineage tools)

* Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness)

* Effective communication and collaboration with technical and non-technical stakeholders

* Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories)

* Performance tuning in Snowflake (warehouse sizing, clustering, caching)

Nothing in this position description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

About Judi Health

Judi Health is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation's electronic healthcare infrastructure to improve drug price visibility and patient outcomes. Judi Health is executing its mission through the deployment of JUDI, the company's cloud-native enterprise health platform, and a Single-Ledger Model, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Judi Health is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare.

Judi Health values a diverse workplace and celebrates the diversity that each employee brings to the table. We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

New York, NY Salary Range
$139,600—$174,500 USD
Denver, CO Salary Range
$128,000—$160,000 USD
Charlotte, NC Salary Range
$116,400—$145,500 USD

All employees are responsible for adherence to the Judi Health Code of Conduct including the reporting of non-compliance. This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

By submitting an application, you agree to the retention of your personal data for consideration for a future position at Judi Health. More details about Judi Health's privacy practices can be found athttps://www.judi.health/legal/privacy-policy.