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Remote Airflow Jobs in California (NOW HIRING)

... Airflow, Kafka, or Spark. • Hands-on technical expertise in designing and implementing end-to-end data solutions. • Familiarity with Generative AI (GenAI) and AI/ML technologies. What We Offer ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

Work with workflow orchestration tools (e.g., Airflow, Flyte, or similar) to support multi-stage ML ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions. * Develop ... Varied for retail, fulfillment and fully remote roles. The annual basesalary range for this ...

Senior Data Engineer, Risk

Bodega Bay, CA · On-site +1

$125K - $170K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... Airflow * Prefect * Omni * Terraform We're working to build a more inclusive economy where our ...

Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application ... The base pay range is subject to change and may be modified in the future. #LI-FM1 #LI-Remote ...

This is a full-time remote position. Key Responsibilities * Developing batch and streaming / event ... Experience with orchestration software like Airflow or Dagster * Experience with transformation ...

This is a remote position. Duties * Support production systems and help triage issues during live ... Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

$144K - $190K/yr

Experience with Apache Airflow * Experience building ETL pipelines * Experience with NoSQL and relational databases at scale Employment Type: FULL_TIME

Proficiency with SQL and enterprise data platforms such as Snowflake, BigQuery, dbt, Airflow ... Remote Work All roles are remote unless otherwise specified in the . Review the to confirm if the ...

This is a remote position. Duties * Support production systems and help triage issues during live ... Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

Senior Data Analyst

Los Angeles, CA · Remote

$109K - $171K/yr

Remote US & Canada We are seeking a highly motivated and autonomous Senior Data Analyst to join our ... Familiar with Python data-related libraries (e.g., Pandas, Airflow, Flask, Plotly) * Experience ...

Showing results 21-40

Remote Airflow information

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

AspectRemote AirflowRemote Data Engineer
Required CredentialsKnowledge of Apache Airflow, Python, SQLData modeling, SQL, Python, cloud certifications
Work EnvironmentData pipelines, workflow orchestration, cloud platformsData architecture, pipeline development, database management
Employer & Industry UsageTech companies, data-driven organizationsFinance, healthcare, tech, and retail sectors
Common Search & ComparisonYesYes

Remote Airflow specialists focus on designing and managing workflow orchestration using Apache Airflow, primarily working with data pipelines. Remote Data Engineers have a broader role, including building and maintaining data infrastructure, pipelines, and architecture. While both roles require Python and SQL skills, Data Engineers often need additional knowledge of data modeling and cloud platforms. The roles are complementary but differ in scope and responsibilities.

What are the most commonly searched types of Airflow jobs in California? The most popular types of Airflow jobs in California are:
What cities in California are hiring for Remote Airflow jobs? Cities in California with the most Remote Airflow job openings:

Data Architect (Remote)

Innowhyte Inc

On-site, Remote

Full-time

Re-posted 13 days ago


Job description

We are seeking a highly skilled and experienced Data Engineering Lead/Architect to join our dynamic team. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines, with strong expertise in Python programming, cloud technologies, and large-scale data systems. If you have a passion for working with data and enabling AI/ML capabilities in products, we want to hear from you.
Key Responsibilities:
• Design, develop, and maintain robust and scalable data pipelines to support analytics and machine learning applications.
• Collaborate with cross-functional teams, including data scientists and software engineers, to implement data-driven solutions.
• Optimize and manage data storage systems and ensure high availability, reliability, and performance.
• Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to support analytics and machine learning applications.
• Ensure data pipelines are optimized for efficiency, reliability, and scalability, handling both structured and unstructured data seamlessly.
• Handle large-scale datasets, ensuring data integrity and consistency across platforms.
• Provide technical expertise and mentorship to junior engineers and stakeholders.
• Implement best practices in data engineering, including version control, testing, and deployment.
• Stay updated with emerging technologies and tools in data engineering, AI/ML, and cloud ecosystems.
Requirements:
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum 5+ years of hands-on experience in data engineering or related roles.
• Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark).
• Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and associated tools for data storage, processing, and orchestration.
• Practical knowledge of data pipeline frameworks like Apache Airflow, Kafka, or Spark.
• Hands-on technical expertise in designing and implementing end-to-end data solutions.
• Familiarity with Generative AI (GenAI) and AI/ML technologies.
What We Offer:
• Enjoy the flexibility to work from the comfort of your home, with no commute hassles.
• Work directly with the CXO team, gaining valuable insights and contributing to strategic decisions.
• Take the opportunity to initiate, own, and drive impactful data engineering projects across the organization.
• Become a key member of the engineering leadership team, driving innovation and excellence within the data domain.
• Work with state-of-the-art technologies in AI, ML, and data engineering.
• Competitive compensation and ample opportunities for career growth.