Airflow Job Salaries

Find salary information for remote positions requiring Airflow skills. Make data-driven decisions about your career path.

Airflow

Median high-range salary for jobs requiring Airflow:

$209,000

This analysis is based on salary ranges collected from 30 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $151,000 - $209,000

25% of job descriptions advertised a maximum salary above $250,000.
5% of job descriptions advertised a maximum salary above $322,000.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Kubernetes, Snowflake and Python. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Kubernetes
37% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $175,000 - $250,000
- 25% of job descriptions advertised a maximum salary above $279,000.
- 5% of job descriptions advertised a maximum salary above $362,595.
Snowflake
43% jobs mention Snowflake as a required skill. The Median Salary Range for these jobs is $152,000 - $213,000
- 25% of job descriptions advertised a maximum salary above $243,725.
- 5% of job descriptions advertised a maximum salary above $280,200.
Python
93% jobs mention Python as a required skill. The Median Salary Range for these jobs is $161,000 - $209,000
- 25% of job descriptions advertised a maximum salary above $252,450.
- 5% of job descriptions advertised a maximum salary above $326,310.
AWS
60% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $147,500 - $209,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $331,860.
CI/CD
33% jobs mention CI/CD as a required skill. The Median Salary Range for these jobs is $151,000 - $209,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $282,000.
Data engineering
50% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $170,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $242,500.
- 5% of job descriptions advertised a maximum salary above $266,250.
ETL
43% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $177,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $267,750.
Docker
37% jobs mention Docker as a required skill. The Median Salary Range for these jobs is $150,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $266,250.
- 5% of job descriptions advertised a maximum salary above $360,945.
SQL
83% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $145,000 - $200,000
- 25% of job descriptions advertised a maximum salary above $242,500.
- 5% of job descriptions advertised a maximum salary above $273,000.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Digital Advertising, Financial Services and Blockchain intelligence and financial services. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Digital Advertising
3% jobs are in Digital Advertising industry. The Median Salary Range for these jobs is $260,800 - $365,100
Financial Services
3% jobs are in Financial Services industry. The Median Salary Range for these jobs is $152,000 - $282,000
Blockchain intelligence and financial services
7% jobs are in Blockchain intelligence and financial services industry. The Median Salary Range for these jobs is $220,000 - $262,500
- 25% of job descriptions advertised a maximum salary above $270,000.
Fintech
3% jobs are in Fintech industry. The Median Salary Range for these jobs is $177,000 - $213,000
E-Commerce
7% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $187,500 - $212,500
- 25% of job descriptions advertised a maximum salary above $315,000.
Software Development
20% jobs are in Software Development industry. The Median Salary Range for these jobs is $140,300 - $211,500
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $254,900.
Healthcare
13% jobs are in Healthcare industry. The Median Salary Range for these jobs is $180,000 - $205,000
- 25% of job descriptions advertised a maximum salary above $217,500.
- 5% of job descriptions advertised a maximum salary above $220,000.
Battery technology and renewable energy
3% jobs are in Battery technology and renewable energy industry. The Median Salary Range for these jobs is $180,000 - $200,000
EdTech
3% jobs are in EdTech industry. The Median Salary Range for these jobs is $145,000 - $155,000
Health Insurance
3% jobs are in Health Insurance industry. The Median Salary Range for these jobs is $145,000 - $145,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Senior Software Engineer, Data

Posted 2 days ago

📍 United States, Australia, Canada, South America

🧭 Full-Time

💸 177000.0 - 213000.0 USD per year

🔍 FinTech

🏢 Company: Flex

🔧 Requirements

A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
A minimum of 6 years of experience with Python and SQL.
A minimum of 3 years of industry experience using DBT.
A minimum of 3 years of industry experience using Snowflake and its basic features.
Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
Industry experience working with relational and NoSQL databases in a production environment.
Strong fundamentals in data structures, algorithms, and design patterns.

💡 Responsibilities

Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
Create scalable real-time streaming pipelines and offline ETL pipelines.
Design, implement, and manage a data warehouse that provides secure access to large datasets.
Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Create engineering documentation for design, runbooks, and best practices.

AWS Python SQL Bash Design Patterns ETL Hadoop Java Kafka Snowflake Airflow Algorithms Cassandra Data engineering Data Structures Nosql Spark Communication Skills CI/CD RESTful APIs Terraform Written communication Documentation Data modeling Debugging

Posted 2 days ago

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🔥 Business Intelligence Engineer - LATAM

Posted 4 days ago

📍 Latin America

🧭 Full-Time

💸 62400.0 - 83200.0 USD per year

🔍 Retail Security

🏢 Company: Panoptyc👥 1-10 Electronics Artificial Intelligence (AI)Information Technology

🔧 Requirements

Minimum of 3 years of experience in data engineering or BI development
Strong programming skills in Python, SQL, and data processing frameworks
Experience with ETL development and data pipeline orchestration tools
Proven ability to optimize data models and query performance at scale
Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift)
Knowledge of data modeling techniques and dimensional modeling
Strong troubleshooting and problem-solving skills with a keen attention to detail
Ability to work independently in a fast-paced, remote environment
Strong verbal and written communication skills for effective collaboration with technical and non-technical stakeholders
Availability to work 40 hours per week on Eastern Standard Time (EST)

💡 Responsibilities

Design and implement data pipelines to extract, transform, and load data into data warehouses
Develop scalable data models and optimize query performance for business intelligence applications
Create and maintain BI processes using programming languages and data engineering tools
Build automated data validation frameworks to ensure data quality and integrity
Develop APIs and interfaces for data access and integration across systems
Implement data monitoring tools and performance metrics to ensure system reliability
Collaborate with data scientists and analysts to productionize data solutions

Python SQL Business Intelligence ETL Snowflake Airflow Data engineering Data modeling

Posted 4 days ago

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🔥 Engineering Manager, Backend

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 200000.0 - 250000.0 USD per year

🔍 Health Tech

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 10 months agoArtificial Intelligence (AI)Hospital Information Technology Health Care

🔧 Requirements

12+ years of software engineering experience
3+ years as an engineering manager
Expertise running an agile process (preferably Kanban) for a team and fluency with the agile toolkit
Experience working with product managers to structure requirements into user stories
Experience with Python
Experience with ETL/ELT processes and tools like AirFlow and dbt
Expertise with one or more database systems, especially PostgreSQL
Deep experience designing and implementing microservice architectures, especially on Kubernetes
Excellent written and verbal communication skills
Bachelor’s or Master’s in Computer Science, Engineering, or a related field, or equivalent experience

💡 Responsibilities

Be accountable for all aspects of the team’s performance including velocity of feature delivery, quality, operational excellence, hiring, retention, professional growth, and well-being
Develop and operate software systems that integrate with EHRs to ingest clinical data and organize it into data sets and APIs
Implement, monitor, and iterate on team metrics to further improve team processes
Collaborate across disciplines to understand our users and iterate on new ideas
Protect patients’ privacy by teaching secure coding practices and ensuring they are used throughout the codebase
Support our apps and systems in production
Work with the Head of Engineering to improve the broader engineering organization.

AWS Backend Development Leadership PostgreSQL Python SQL Agile ETL Kubernetes People Management Airflow Data engineering Data Structures Postgres REST API CI/CD RESTful APIs Terraform Microservices Software Engineering Debugging

Posted 8 days ago

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🔥 Senior Software Engineer, Distributed Systems

Posted 8 days ago

📍 United States, Canada

🧭 Full-Time

💸 139000.0 - 218000.0 USD per year

🔍 Software Development

🔧 Requirements

5+ years developing and deploying complex web applications, with a proven track record of shipping performant quality code.
Proficiency in Java, Python, or another high performance back-end language.
Experience working with high-performance real-time analytics, event processing, and large-scale distributed systems.
Strong data engineering skills, including experience with relational and non-relational databases.
Knowledge of REST APIs and event-driven architectures.
Can debug production issues across services and multiple levels of the stack.
Experience with testing frameworks (e.g. Jest, Mocha, Playwright, Cypress, TestNG).

💡 Responsibilities

Architect, design, and implement scalable multi-tenant backend services and APIs.
Work on technologies such as Java, MongoDB, Druid, Airflow, Amazon Web Services EC2, S3, Lambdas, RDS, and more.
Design and implement data processing pipelines that includes ingestion, transformation, storage, and query.
Work with Druid and other data stores to efficiently integrate and query large-scale event data.
Ensure system scalability and reliability by optimizing distributed architectures, caching strategies, and event-driven systems for low-latency performance.
Lead projects that directly contribute to team and engineering organization's deliverables.
Produce and elevate the quality of maintainable, tested, performant, and scalable code.
Build and maintain unit and integration tests.
Author, collaborate on, and evaluate design documents.
Influence technical designs and team-level prioritization as well as participate in technical solutions.
Collaborate with software engineers, product managers, and designers in an autonomous, supportive team environment.
Mentor other engineers in technical skills, best practices, and quality.
Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening and improving our hiring processes, and leading internal hackathon teams.

AWS Backend Development SQL Java MongoDB MySQL Airflow Algorithms Amazon Web Services Data engineering Data Structures REST API Microservices Data modeling Software Engineering

Posted 8 days ago

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🔥 Engineering Team Lead - Data

Posted 8 days ago

📍 United States

💸 145000.0 - 155000.0 USD per year

🔍 Education Technology

🏢 Company: Echo360 Inc

🔧 Requirements

7+ years of experience in data engineering, 2+ years of experience in a lead role.
Solid understanding of data lake, lakehouse, and warehouse data architectures.
Deep hands-on expertise in AWS cloud architecture and data-related services, patterns, and practices, inclusive of S3, EMR, Glue, Athena, Redshift, QuickSight, Kinesis or equivalent streaming, SQS and other queue/messaging components, Lambda, Step Functions, Airflow or other job management as appropriate.
Strong command of SQL, Python and related Python libraries.
Knowledge of data visualization tools (QuickSight preferred) and advanced analytics techniques.
Proven track record of successfully building and scaling reliable, secure, cost efficient, and performant data and analytics solutions.
Demonstrable experience with designing and implementing data quality processes.
Excellent leadership and communication skills, with the ability to motivate and inspire teams.
Strong analytical and problem-solving skills, with a focus on data-driven decision-making.
Ability to work collaboratively across diverse teams and prioritize effectively in a fast-paced environment.
An understanding of data security and data privacy and related regulatory requirements.
Prior experience working in a global environment with offshore team members.
Prior experience in education technology product development and learning analytics is strongly preferred.
Recent, relevant experience with Machine Learning and Generative AI as they apply to data analytics uses cases for discovery, analysis, and predictive use cases is strongly preferred.
Bachelor’s degree in computer science or related engineering/technical discipline

💡 Responsibilities

Provide technical and people leadership and direction for the data team, setting goals, defining technical approaches, architecture, planning and executing work following Agile practices to consistently deliver on commitments.
Partner closely with product management, application, SRE, and security teams to build consensus on needed capabilities, designs, APIs, infrastructure, and ensure security and privacy of data.
Oversee the architecture and implementation of data pipelines, structured and unstructured storage, data transformation, data warehouses, analytics solution, and data APIs.
Ensure the delivery of high-quality, timely, and accurate data solutions.
Drive the adoption of best practices in data quality, and security.
Monitor emerging technologies and trends in data and analytics to recommend and implement innovative solutions.
Manage project timelines, budgets, and resources to meet internal and customer commitments.
Build and maintain strong relationships with internal stakeholders, external vendors, and customers.
Recruit, develop, and retain strong talent for the data team, inclusive of employees and off-shore/near-shore partners.

AWS Backend Development Leadership Project Management Python SQL Agile Cloud Computing Data Analysis ETL Machine Learning People Management Airflow Apache Kafka API testing Data engineering Data Structures REST API Serverless Communication Skills CI/CD Microservices Data visualization Team management Strategic thinking Data modeling Data analytics Data management

Posted 8 days ago

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🔥 Senior Staff Engineer, Mechanical Codes and Standards Specialist (Hybrid & Remote - US)

Posted 8 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 150000.0 USD per year

🔍 Policy & Ratings Department

🏢 Company: Energy Solutions - USA

🔧 Requirements

A Bachelor’s degree in engineering (mechanical engineering preferred)
At least 10 years of engineering or work experience in related area
Excellent verbal communication skills, demonstrated ability to write reports, technical papers, and provide technical presentations to knowledgeable audiences
Ability to observe Pacific Time working hours as needed
Willingness to conduct occasional business travel
Ability to work in the US without requiring Energy Solutions to commence or sponsor an immigration case in order to employ you now or in the future.

💡 Responsibilities

Develop and lead both short-term and long-term strategies to optimize energy savings, load management potential, GHG reductions, and transform markets through codes and standards or other energy policy interventions
Analyze the savings, costs, and other impacts of energy efficient and low carbon technologies in the context of energy policy
Oversee product testing and other primary data collection strategies needed to fill data gaps in policy settings
Participate in industry working groups and technical committees in support of voluntary or mandatory standards and test procedure updates
Develop strategic partnerships with industry stakeholders to ensure policy proposals are feasible, equitable, and have ample stakeholder support
Write reports on technical topics, such as Title 24 code change proposal reports, including energy savings analyses, cost-effectiveness analyses, and market impacts analyses
Develop and deliver presentations on technical topics to a variety of audiences, including clients, government agency decision makers, engineers, and other stakeholders
Delegate and oversee more straightforward technical tasks and responsibilities to junior level engineering staff
Represent clients in public meetings, negotiated rulemakings, and in publicly docketed comments

Docker Project Management Python SQL AWS EKS Data Analysis Excel VBA GCP Kubernetes Project Coordination Product Operations Product Development ActiveMQ Airflow Algorithms Amazon Web Services Apache Kafka API testing Azure REST API Strategic Management Communication Skills Analytical Skills Collaboration CI/CD Problem Solving Customer service Agile methodologies Linux DevOps Terraform Presentation skills Written communication Microservices Compliance Interpersonal skills Excellent communication skills Adaptability Teamwork Negotiation skills Troubleshooting JSON Cross-functional collaboration Risk Management Stakeholder management Strategic thinking Research skills Financial analysis Data modeling

Posted 8 days ago

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🔥 Staff Software Engineer

Posted 10 days ago

📍 United States

💸 141600.0 - 254900.0 USD per year

🔍 Software Development

🏢 Company: Eventbrite, Inc.

🔧 Requirements

6+ years experience as a backend or data engineer - and possibly both, with an understanding of backend web technologies, datastores, data pipelines and distributed batch-processing systems.
Expert in building high performance systems and services
Demonstrated ability to mentor and uplevel other engineers.
Experience aligning design, product and engineering goals.
Experience managing your own infrastructure. On any given day you could be working with Lambdas, Sagemaker, API Gateway, OpenSearch, DynamoDB, and much more!
Familiarity with the basic principles and activities of data science - collecting and cleaning data; extracting and evaluating features; designing, building, and training a model; evaluating results.

💡 Responsibilities

Be a technical leader who helps plan the future of the Risk and Fraud platform
Help build the platform
Mentor junior engineers

AWS Backend Development Leadership Python SQL Data Analysis Design Patterns Django DynamoDB Machine Learning MySQL Snowflake Cross-functional Team Leadership Airflow Algorithms API testing Data engineering Data science REST API Communication Skills Analytical Skills Collaboration CI/CD Problem Solving RESTful APIs Mentoring Software Engineering Debugging

Posted 10 days ago

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🔥 Senior Data Analytics Engineer

Posted 10 days ago

📍 United States

💸 125000.0 - 145000.0 USD per year

🔍 Healthcare

🏢 Company: Lirio👥 51-100💰 $3,000,000 Debt Financing over 2 years agoArtificial Intelligence (AI)Machine Learning Information Technology Health Care

🔧 Requirements

Bachelors Degree in related field
7+ years of experience
5+ years of experience creating data analytics methods and tools
Experience in a senior technical role
Experience working in healthcare and with healthcare data
Experience operating systems in regulated environments, adhering to standards such as SOC 2 Type 2 and HITRUST
Experience working with domain experts to analyze complex datasets
Knowledge of software engineering and data modeling best practice
SQL
Python
Snowflake or similar managed data warehouses
Docker
Airflow
JavaScript, D3.js, DBT, and/or Observable are helpful, but not required

💡 Responsibilities

Collaborates internally and externally to understand technical questions that drive analytic requirements, understand ways to answer technical questions or reporting needs by instrumenting and analyzing Lirio’s Behavior Change AI platform, and understand insight and reporting requirements for verifying and validating the efficacy of the Lirio solution(s).
Develop and support tools facilitating self-service by internal and external users.
Owns the analytics engineering implementation at Lirio, assuring operation of the analytics pipelines, quality in data and reporting artifacts and developing improvements to meet client and market needs.
Provide expertise and guidance to clients, vendors, and internal teams for Data Analytics initiatives and strategies.
Guide the design, implementation, and performance of various data analytics processes including report generation, agent insights, and various aspects of client onboarding.
Collaborate with the data engineering team around requirements, timing, quality, etc.
Support team efforts around observability and SLAs.
Collaborate on research and development around clinical data, machine learning features, and other data assets to support organizational objectives.

Docker Python SQL Data Analysis ETL Machine Learning Snowflake Airflow Data engineering REST API Data visualization Data modeling Data analytics Data management

Posted 10 days ago

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🔥 785 - Data Engineer

Posted 11 days ago

📍 Latin America

🧭 Contract

💸 2000.0 - 2500.0 USD per month

🏢 Company: GoFasti👥 10-50

🔧 Requirements

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.
3+ years working as a Data Engineer or in a similar technical role with a focus on building and maintaining data infrastructure and pipelines.
Experience with AWS (Redshift, RDS) and Google Cloud (BigQuery, Firebase) for managing and working with cloud-based databases and analytics tools.
Proficiency in at least one programming language (Python, C#, Java, etc.) to automate data pipeline workflows.
Familiarity with data pipeline orchestration tools such as dbt and Airflow.
Strong knowledge of data warehousing concepts and ELT/ETL best practices.
Familiarity with source version control systems.
Strong SQL knowledge.

💡 Responsibilities

Enhance and maintain the infrastructure powering our analytics and data products.
Ingest new data from files, APIs, and external databases into a centralized data store, ensuring seamless integration and data flow.
Continuously monitor, optimize, and troubleshoot data pipelines and infrastructure for performance, scalability, and cost-effectiveness.
Work closely with business stakeholders, including Analysts and Data Scientists, to understand data needs and translate business requirements into technical solutions.
Implement and enforce data governance policies, ensuring adherence to best practices in data security, integrity, privacy, and regulatory compliance.
Contribute to and drive efforts to ensure high data quality across the organization by identifying and resolving issues in data pipelines and workflows.
Participate in technical architecture discussions, offering expertise in designing scalable, efficient data systems.
Engage in peer code reviews to maintain high standards of code quality and best practices.

AWS Python SQL ETL GCP Airflow Data engineering Firebase RDBMS Communication Skills Analytical Skills RESTful APIs Data modeling

Posted 11 days ago

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🔥 Manager, Data Engineering

Posted 24 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 189000.0 USD per year

🔍 Healthcare, Data Engineering

🏢 Company: HealthVerity👥 101-250💰 $100,000,000 Series D over 3 years agoInformation Services Information Technology Health Care

🔧 Requirements

2+ years managing a team of engineers
8+ years in data engineering
Strong proficiency in Python, Java, or Scala
Experience with big data frameworks (Databricks, Spark, Hive, etc.)
Hands-on experience with AWS
Expertise in distributed data pipelines

💡 Responsibilities

Lead and mentor a team of 5–10 data engineers
Design and optimize scalable data pipelines
Collaborate with researchers and data scientists
Enhance data storage and processing capabilities
Ensure data security and regulatory compliance
Automate and optimize data engineering processes

AWS Docker Python SQL Kubernetes Airflow Data engineering Postgres Spark CI/CD Terraform Scala

Posted 24 days ago

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Shown 10 out of 34

Airflow Job Salaries

Median high-range salary for jobs requiring Airflow:

Skills and Salary

Kubernetes

Snowflake

Python

AWS

CI/CD

Data engineering

ETL

Docker

SQL

Industries and Salary

Digital Advertising

Financial Services

Blockchain intelligence and financial services

Fintech

E-Commerce

Software Development

Healthcare

Battery technology and renewable energy

EdTech

Health Insurance

Jobs