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From Home Airflow Jobs (NOW HIRING)

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Perks: Take-home company vehicle & fuel card (Dispatch directly from home) * Schedule: Monday ... Experience in healthcare/hospital environments (infection control, airflow protocols, and critical ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt ... As such, we have the option to work from home two days per week, if we'd like. RAPP provides a ...

Senior Data Engineer

Chicago, IL ยท On-site

$109K - $148K/yr

The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt ... As such, we have the option to work from home two days per week, if we'd like. RAPP provides a ...

NY ยท On-site

$40 - $80/hr

Familiarity with coils, unit dimensions, airflow, and connections * Ability to measure surface ... Flexible work from home options available. #J-18808-Ljbffr

Data Architect

$65.25 - $84/hr

Remote (Work from Anywhere) Type: B2B Contract Experience Level: Senior/Expert Start Date: TBD ... e.g., Apache Airflow, Fivetran, Talend) * Solid understanding of data governance, metadata ...

... WFH Fridays. That said, we will make exceptions for truly exceptional talent if you live outside ... Size ductwork and piping based on airflow, velocity, pressure drop, and equipment requirements ...

Senior AWS Data Engineer

Dallas, TX ยท On-site

$50 - $58/hr

Glue, EMR (Spark), S3, Lambda, ECS/EKS, MWAA (Airflow), IAM. - Experience with AuroraDB,DynamoDB ... Flexible work from home options available. Compensation: $50.00 - $58.00 per hour About Us We work ...

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HVAC Service Technician

Merriam, KS ยท On-site

$80K - $160K/yr

Dispatch from home * Tool account available * Consistent year-round work * PTO + paid holidays ... Troubleshoot heating, cooling, and airflow issues * Perform system inspections and preventative ...

Showing results 21-40

From Home Airflow information

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$25K

$80.3K

$163.5K

How much do from home airflow jobs pay per year?

As of Sep 5, 2026, the average yearly pay for from home airflow in the United States is $80,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $103,000.00 per year, depending on experience, location, and employer.

What is a work-from-home Airflow job?

A work-from-home Airflow job typically involves managing, developing, and maintaining data workflows using Apache Airflow, a popular open-source platform for workflow automation and scheduling. In this remote position, professionals design, implement, and monitor data pipelines, ensuring data moves efficiently between systems. They often collaborate with data engineers, analysts, and other stakeholders to optimize and troubleshoot data workflows, all while working from a home office or remote location.

What are some common challenges faced by remote Airflow developers, and how can they be addressed?

Remote Airflow developers often encounter challenges such as coordinating with distributed teams, managing complex data pipelines without direct access to on-site resources, and ensuring reliable workflow monitoring. To address these, clear communication through regular stand-ups and effective documentation is crucial. Utilizing collaboration tools and setting up robust automated monitoring and alerting within Airflow can also help maintain pipeline reliability and team alignment.

What are the key skills and qualifications needed to thrive as a HVAC technician, and why are they important?

To thrive as an HVAC Technician, you need strong mechanical aptitude, troubleshooting skills, and a relevant certification or technical diploma in heating, ventilation, air conditioning, and refrigeration. Familiarity with diagnostic tools, HVAC control systems, and EPA certification for handling refrigerants is typically required. Excellent customer service, problem-solving skills, and attention to detail help technicians stand out in this role. These skills ensure the safe, efficient, and reliable installation and maintenance of systems that are critical for indoor comfort and air quality.

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

AspectFrom Home AirflowFrom Home Data Engineer
Required CredentialsKnowledge of workflow orchestration, basic scriptingAdvanced SQL, programming, data modeling
Work EnvironmentPrimarily remote, cloud-based toolsRemote, often collaborative with data teams
Industry UsageData pipeline automation in tech and financeData infrastructure, analytics, and reporting

From Home Airflow focuses on managing data workflows using Apache Airflow, while From Home Data Engineer involves designing and maintaining data systems. Both roles often work remotely and require some technical skills, but Data Engineers typically have more advanced programming and database knowledge. Understanding these differences helps job seekers align their skills with the right position.

More about From Home Airflow jobs

What cities are hiring for From Home Airflow jobs?

Cities with the most From Home Airflow job openings:

What are the most commonly searched types of Airflow jobs?

The most popular types of Airflow jobs are:

What states have the most From Home Airflow jobs?

States with the most job openings for From Home Airflow jobs include:

Infographic showing various From Home Airflow job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $80,287 per year, or $38.6 per hour.

Senior AWS Data Engineer

Select Minds LLC

Dallas, TX โ€ข On-site

$50 - $58/hr

Full-time

Re-posted 18 days ago


Job description

Benefits:
  • HYBRID
  • Competitive salary
  • Opportunity for advancement

Job Title: Data Quality Engineer
Location: Dallas, TX (Hybrid – 3 days onsite)
Job Type: Long-term Contract
Work Authorization: Open - W2 opportunity
Profiles : 5-10yrs
Interview Process: In-person (Client interview- Mandatory)
                                                                                                                 
Overview
We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL, and can design, optimize, and manage complex data pipelines. This role requires collaboration across teams to deliver secure, scalable, and high-quality data solutions that drive business intelligence and operational efficiency.
                                           
Key Responsibilities
- Design, build, and maintain scalable ETL pipelines across AWS and SQL-based technologies.
- Assemble large, complex datasets that meet business and technical requirements.
- Implement process improvements by re-architecting infrastructure, optimizing data delivery, and automating workflows.
- Ensure data quality and integrity across multiple sources and targets.
- Orchestrate workflows with Apache Airflow (MWAA) and support large-scale cloud migration projects.
- Conduct ETL testing, apply test-driven development (TDD), and participate in code reviews.
- Monitor, troubleshoot, and optimize pipelines for performance, reliability, and security.
- Collaborate with cross-functional teams and participate in Agile ceremonies (sprints, reviews, stand-ups).
Requirements
- 5–10 years of experience in Data Engineering, with deep focus on ETL, cloud pipelines, and Python development.
- 3+ years of hands-on coding with Python (primary), PySpark, and SQL.
- Proven experience with AWS services: Glue, EMR (Spark), S3, Lambda, ECS/EKS, MWAA (Airflow), IAM.
- Experience with AuroraDB,DynamoDB Redshift, and AWS Data Lakes.
- Strong knowledge of data modeling, database design, and advanced ETL processes (including Alteryx).
- Proficiency with structured and semi-structured file types (Delimited Text, Fixed Width, XML, JSON, Parquet).
- Experience with ServiceBus or equivalent AWS streaming/messaging tools (SNS, SQS, Kinesis, Kafka).
- CI/CD expertise with GitLab or similar, plus hands-on Infrastructure-as-Code (Terraform, Python, Jinja, YAML).
- Familiarity with unit testing, code quality tools, containerization, and security best practices.
- Solid Agile development background, with experience in Agile ceremonies and practices.

Flexible work from home options available.