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Remote Airflow Jobs in California (NOW HIRING)

Data Engineer (Remote)

San Francisco, CA · On-site +1

$40 - $41/hr

Experience with Apache Airflow for workflow orchestration. * Experience integrating enterprise data platforms with Apache Kafka or other streaming technologies. * Working knowledge of PySpark for ...

Copy of Senior Data Engineer

Pasadena, CA · On-site +1

$143K - $174K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... This involves working with infrastructure built in AWS, including Airflow, PySpark, EMR, S3 ...

New

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline ...

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

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 Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... Comfort working in a data-heavy environment and supporting technologies such as Airflow/MWAA ...

Copy of Senior Data Engineer

Pasadena, CA · Remote

$115K - $157K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... This involves working with infrastructure built in AWS, including Airflow, PySpark, EMR, S3 ...

New

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

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

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt. * Strong ...

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 ...

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Showing results 1-20

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:

Sr. Clinical Informatics Analyst - Remote

DivIHN

San Diego, CA • On-site, Remote

Contractor

Posted 4 days ago


Job description

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists, Justeen at (224) 394-4903 or Ragu at (224) 704-1713
Title: Sr. Clinical Informatics Analyst - Remote
Location: Remote
Duration: 6 Months with possibilities of extension and converstion to full time
Hours: 9 AM - 5 PM PST
Travel Required: 5 - 15%
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered
Description
  • Collaborate with the research team to develop data analysis plans for the clinical trial.
  • Use statistical methods to analyze data and identify trends, patterns, and outliers.
  • Create data visualizations and reports to communicate results to the research team.
  • Work with other team members to interpret data and provide insights to inform decision-making.
  • Develop and implement data governance to support consistency and shared understanding across the organization.
  • Stay up-to-date with the latest research and industry developments in continuous glucose monitoring devices.
  • Collaborate with the research team to identify opportunities for digital transformation in the clinical trial.
  • Develop and implement digital solutions to streamline data collection, data analysis, and data visualization.
  • Design and implement strategies to enhance patient recruitment, engagement, and retention using digital technologies.
  • Analyze and interpret data generated from digital solutions to inform decision-making and improve trial outcomes.

Requirements:
  • Experience working in clinical research and knowledge of clinical trial design and analysis.
  • Strong analytical and problem-solving skills, with the ability to analyze complex datasets and identify patterns and trends.
  • Excellent communication and presentation skills, with the ability to communicate results and insights to non-technical stakeholders.
  • Ability to work independently and collaboratively in a team environment.
  • Familiarity with continuous glucose monitoring devices and diabetes management is a plus.
  • Intermediate to advanced Python programming skills, including ability to develop, test, and maintain analytics automation.
  • Proficiency in Power BI for dashboard/report development and data visualization.- Required
  • Experience with Apache Airflow for workflow orchestration and data pipeline scheduling.
  • Working knowledge of PostgreSQL, including querying, data modeling, and database optimization.
  • Experience developing or integrating APIs using FastAPI.
  • Experience in the pharmaceutical or biotechnology industry is preferred.
  • Experience working with backend data engineering.

Required Skills (Top 3 non-negotiables):
  • Intermediate to advanced Python programming skills, including ability to develop, test, and maintain analytics automation
  • Experience with Apache Airflow for workflow orchestration and data pipeline scheduling
  • Working knowledge of PostgreSQL, including querying, data modeling, and database optimization.
  • Experience developing or integrating APIs using FastAPI.

Preferred Skills (Nice to have)
  • Clinical Research Experience

Work related years of experience: 3+ Years
Education Requirements: BS
Interview Process
  • Two rounds of interviews.
  • A Python coding assessment will be included as part of the interview process