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:

$235,000

This analysis is based on salary ranges collected from 56 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 $185,000 - $235,000

25% of job descriptions advertised a maximum salary above $272,500.
5% of job descriptions advertised a maximum salary above $331,800.7.

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, Spark and Leadership. 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
32% jobs mention Kubernetes as a required skill. The Median Salary Range for these jobs is $200,000 - $261,250
- 25% of job descriptions advertised a maximum salary above $275,000.
- 5% of job descriptions advertised a maximum salary above $347,860.
Spark
41% jobs mention Spark as a required skill. The Median Salary Range for these jobs is $200,000 - $259,000
- 25% of job descriptions advertised a maximum salary above $285,800.
- 5% of job descriptions advertised a maximum salary above $337,085.
Leadership
32% jobs mention Leadership as a required skill. The Median Salary Range for these jobs is $206,700 - $244,500
- 25% of job descriptions advertised a maximum salary above $275,000.
- 5% of job descriptions advertised a maximum salary above $356,360.
ETL
45% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $200,000 - $240,000
- 25% of job descriptions advertised a maximum salary above $255,000.
- 5% of job descriptions advertised a maximum salary above $301,050.25.
Data engineering
38% jobs mention Data engineering as a required skill. The Median Salary Range for these jobs is $201,601 - $240,000
- 25% of job descriptions advertised a maximum salary above $270,000.
- 5% of job descriptions advertised a maximum salary above $310,370.45.
Kafka
36% jobs mention Kafka as a required skill. The Median Salary Range for these jobs is $200,000 - $239,000
- 25% of job descriptions advertised a maximum salary above $270,000.
- 5% of job descriptions advertised a maximum salary above $350,550.5.
AWS
57% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $190,000 - $229,000
- 25% of job descriptions advertised a maximum salary above $256,750.
- 5% of job descriptions advertised a maximum salary above $360,790.
Python
84% jobs mention Python as a required skill. The Median Salary Range for these jobs is $190,000 - $228,000
- 25% of job descriptions advertised a maximum salary above $273,750.
- 5% of job descriptions advertised a maximum salary above $340,365.85.
SQL
63% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $190,000 - $220,000
- 25% of job descriptions advertised a maximum salary above $258,000.
- 5% of job descriptions advertised a maximum salary above $289,400.

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 Advertising Technology, Fintech 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.

Advertising Technology
4% jobs are in Advertising Technology industry. The Median Salary Range for these jobs is $227,500 - $298,500
- 25% of job descriptions advertised a maximum salary above $322,000.
Fintech
7% jobs are in Fintech industry. The Median Salary Range for these jobs is $200,000 - $275,000
- 25% of job descriptions advertised a maximum salary above $338,000.
- 5% of job descriptions advertised a maximum salary above $401,000.
Blockchain intelligence and financial services
4% 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.
Web Development
4% jobs are in Web Development industry. The Median Salary Range for these jobs is $151,500 - $255,750
- 25% of job descriptions advertised a maximum salary above $263,500.
Financial Services
4% jobs are in Financial Services industry. The Median Salary Range for these jobs is $165,000 - $255,000
- 25% of job descriptions advertised a maximum salary above $282,000.
Personal finance
5% jobs are in Personal finance industry. The Median Salary Range for these jobs is $220,000 - $240,000
Healthcare
13% jobs are in Healthcare industry. The Median Salary Range for these jobs is $179,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $220,000.
- 5% of job descriptions advertised a maximum salary above $277,000.
E-Commerce
4% 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.
ticketing industry
4% jobs are in ticketing industry industry. The Median Salary Range for these jobs is $145,000 - $200,000
Automotive digital marketplace
2% jobs are in Automotive digital marketplace industry. The Median Salary Range for these jobs is $141,000 - $188,000

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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🔥 Staff Product Analyst (Remote, USA)

Posted 5 days ago

📍 United States

💸 157549.0 - 189059.0 USD per year

🔍 Product Analytics

🏢 Company: Grafana Labs👥 501-1000💰 $240,000,000 Series D over 2 years agoSoftware Development

Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing).
SQL: writing complex yet efficient SQL is a daily habit for you.
Data Visualization: experience with any of the following tools Tableau, Looker, Mode, Hex, or of course, Grafana!
Experience writing dbt models, implementing product analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git).
Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain essential cross-team and cross-functional relationships for the team’s success.

Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning.
Guide the instrumentation of product data in collaboration with our PMs, UX, and Engineering teams.
Play a key role in the implementation of our product analytics tooling (e.g., Rudderstack, Segment, FullStory, Heap, Pendo) and product A/B testing.
Develop dbt models to transform and test our growth data in partnership with our Analytics Engineering team.
Work with our product leaders and FP&A to establish departmental goals and revenue targets.

SQL ETL Amplitude Analytics Airflow Data visualization A/B testing

Posted 5 days ago

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🔥 Data Engineer

Posted 11 days ago

📍 United States

🧭 Full-Time

💸 95000.0 - 110000.0 USD per year

🔍 Healthcare

🏢 Company: Wider Circle

Degree in Computer Science, Information Systems, or equivalent education or work experience.
3+ years experience with AWS or similar (S3, Redshift, RDS, EMR).
3+ years strong abilities with SQL and Python.
Experience building test automation suites for test and production environments.
Experience using APIs for data extraction and updating.
Experience with Git and version control.

Develop and maintain data quality and accuracy dashboards, and scorecards to track data quality and model performance.
Develop, maintain, and enhance a comprehensive data quality framework that defines data standards, quality and accuracy expectations, and validation processes.
Enhance data quality through rapid testing, feedback and insights.
Partner with Engineering & Product to predict data quality issues and production flaws.
Conceptualize data architecture and implement it into logical structures.
Perform testing of data after ingesting and database loading.
Manage internal SLAs for data quality and frequency.
Provide expert support for solving complex problems of data integration across multiple data sets.
Update and evolve the data ecosystem to streamline processes.

AWS Python SQL Git Airflow Data engineering

Posted 11 days ago

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🔥 Principal Analytics Engineer

Posted 11 days ago

📍 United States

🧭 Full-Time

💸 200000.0 - 240000.0 USD per year

🔍 Retail ecommerce

🏢 Company: Bluecore, Inc.

3+ years as tech lead for a high-performing data team.
5+ years in data pipeline orchestration and data warehouse design, with 3+ years of experience using dbt.
Extensive experience architecting and developing cloud data warehouses for business use cases.
Advanced Python knowledge for analytics and automation.
Expert level SQL knowledge.
Experience scaling the modern data stack and implementing operational processes.
Knowledge of adjacent technologies such as Terraform, NoSQL, and Airflow.

Define and execute Bluecore’s long-term data strategy aligning with client impact and business goals.
Lead development of complex transform projects to create essential data assets.
Architect and develop data models and ETL/ELT processes.
Evaluate and integrate new technologies for scaling data pipelines.
Manage cost-saving initiatives and oversee data infrastructure expenses.
Mentor analytics engineers and enhance data quality and maturity.

Python SQL ETL GCP Snowflake Airflow Data modeling

Posted 11 days ago

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🔥 Lead Data Analyst - Remote

Posted 12 days ago

📍 United States

🧭 Full-Time

💸 150000.0 - 180000.0 USD per year

🔍 Consumer technology

🏢 Company: Facet👥 101-250💰 $100,000,000 Series C almost 3 years agoFinancial Services Wealth Management Finance

6+ years of experience in business intelligence, analytics, or decision scientist role, with 3 years directly with consumer data.
Experience with BigQuery, Snowflake, or similar data warehouse solutions.
Proficient in SQL, dbt, Google Sheets, and version control.
Experience with data collaboration to create optimized models and solve predictive problems.
Understanding of metrics such as LTV, retention, CAC, and proficiency in handling Salesforce CRM data.

Create visibility of Facet operations and product performance.
Drive improvement in Facet's business by analyzing data and identifying opportunities.
Be a trusted strategic partner to teams, building communication lines and using analytical skills to support their strategies.
Conduct data engineering tasks including gathering, cleaning, and preprocessing data.
Evaluate and produce quality code, ensuring free from errors and bias.

Python SQL Snowflake Google Analytics Airflow

Posted 12 days ago

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🔥 Senior Staff Machine Learning Engineer, Ads Optimization

Posted 12 days ago

📍 United States, Canada

🧭 Full-Time

💸 260800.0 - 365100.0 USD per year

🔍 Digital Advertising

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff over 1 year agoNews Content Social Network Social Media

10+ years of contributing high-quality code to production systems that operate at scale.
2+ years of experience operating as a Senior Staff engineer.
5+ years of experience in building control systems, PID controllers, multi-armed bandits, reinforcement learning algorithms, or bid/pricing optimization systems.
Experience leading large engineering teams and collaborating with cross-functional partners.
Experience designing optimization algorithms in an ad serving platform or other marketplaces is preferred.
Familiarity with control systems and reinforcement learning algorithms is a strong plus.
Significant experience in Java, Python, Go, Scala, C++, or similar languages.
Experience with data processing frameworks like Spark, Flink, Kafka.
Familiarity with AWS or GCP as a cloud service provider.
Experience with tools like Kubernetes, Docker, Airflow, etc.
Familiarity with datastores such as ElasticSearch, Redis, and Postgres.

Building Reddit-scale optimizations to improve advertiser outcomes using innovative techniques.
Leveraging live auction data and model predictions to adjust campaign bids in real-time.
Incorporating knowledge of the Reddit ads marketplace into budget pacing algorithms.
Leading a team of 15+ engineers on designing new bid & budget optimization products.
Conducting rigorous A/B experiments to evaluate business impact.
Collaborating with cross-functional teams for customer representation.

AWS Docker Python ElasticSearch GCP Java Kafka Kubernetes Machine Learning PyTorch C++Airflow Algorithms Cassandra Go Postgres Redis Spark Tensorflow Scala

Posted 12 days ago

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🔥 Staff Data Engineer

Posted 15 days ago

📍 United States

🧭 Full-Time

💸 179000.0 - 277000.0 USD per year

🔍 Healthcare

🏢 Company: Komodo Health👥 100-500💰 $200,000,000 about 2 years ago🫂 Last layoff about 2 years agoPredictive Analytics Information Technology Health Care Software

Deep expertise in software and data or related fields in healthcare and technology.
US Healthcare claims data experience.
Extensive experience building scalable, best-in-class solutions.
Demonstrated record of thought leadership and solution design.
Strong ability to communicate clearly with both technical and non-technical teams.
Knowledge of large-scale data and computational technologies.
Experience with SQL and query design on large, complex datasets.
Ability to use a variety of databases, ideally Snowflake on AWS.

Partnering with Engineering team members, Product Managers, and Data Scientists to understand complex health data use cases.
Building foundational pieces of the data platform architecture, pipelines, analytics, and services.
Architecting and developing reliable data pipelines that transform data at scale using SQL and Python in Snowflake.
Contributing to python packages in Github and APIs following current best practices.

Python SQL Snowflake Airflow Algorithms Data engineering Data modeling

Posted 15 days ago

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🔥 Senior Data Engineer

Posted 15 days ago

📍 USA

🧭 Full-Time

💸 190000.0 - 220000.0 USD per year

🔍 B2B data / Data as a Service (DaaS)

🏢 Company: People Data Labs👥 101-250💰 $45,000,000 Series B about 3 years agoDatabase Artificial Intelligence (AI)Developer APIs Machine Learning Analytics B2B Software

5-7+ years industry experience with strategic technical problem-solving.
Strong software development fundamentals.
Experience with Python.
Expertise in Apache Spark (Java, Scala, or Python-based).
Proficiency in SQL.
Experience building scalable data processing systems.
Familiarity with data pipeline orchestration tools (e.g., Airflow, dbt).
Knowledge of modern data design and storage patterns.
Experience working in Databricks.
Familiarity with cloud computing services (e.g., AWS, GCP, Azure).
Experience in data warehousing technologies.
Understanding of modern data storage formats and tools.

Build infrastructure for ingestion, transformation, and loading of data using Spark, SQL, AWS, and Databricks.
Create an entity resolution framework for merging billions of entities into clean datasets.
Develop CI/CD pipelines and anomaly detection systems to enhance data quality.
Provide solutions to undefined data engineering problems.
Assist Engineering and Product teams with data-related technical issues.

AWS Python SQL Kafka Airflow Data engineering Pandas CI/CD

Posted 15 days ago

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🔥 Senior Financial Data Analyst

Posted 16 days ago

📍 US

🧭 Full-Time

💸 130000.0 - 160000.0 USD per year

🔍 Healthcare Technology

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 7 months agoArtificial Intelligence (AI)Hospital Information Technology Health Care

3-5+ years' experience as a business intelligence analyst or data analyst.
Strong technical skills in querying data with SQL and building ETL pipelines.
Experience performing analysis with Python and creating compelling data visualizations.
Experience with health system clinical and/or revenue cycle data.
Ability to connect analytics to business understanding.
Ownership mindset to build and own features from start to finish.
Versatile in dealing with ambiguity.

Owning the relationship with and building intuition for the needs of cross-functional teams.
Developing end-to-end reporting solutions to drive transparency and promote operational efficiency.
Creating, refining, and maintaining metrics to track company performance.
Conducting data-driven investigations into trends impacting growth and customer success.
Becoming an expert of our data stack and how to effectively utilize it.
Building and testing data models for reporting and analytics.
Enhancing customer-facing reports and visualizations.
Providing data analysis support for AI-based products.

AWS Leadership Python SQL Business Intelligence Data Analysis ETL Git Numpy Snowflake Airflow Data science Pandas

Posted 16 days ago

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🔥 Data Architect (100% Remote, Anywhere in the USA)

Posted 17 days ago

📍 USA

🧭 Full-Time

💸 220000.0 - 240000.0 USD per year

🔍 Personal finance

A minimum of 8 years of experience in data engineering, focusing on data pipeline development and cloud solutions.
Bachelor’s or master’s degree in computer science, IT, Data Science, Engineering, or a related field.
Experience in building and leading technical teams.
Proven experience managing scalable data platforms, preferably in AWS.
Expertise in AWS services such as S3, Airflow, DBT, GLUE, and LAMBDA.
Proficient in SQL and with at least one programming language (Python, Java, or Scala).
Strong understanding of data warehousing, ETL processes, and data governance.
Excellent problem-solving and communication skills.

Architect and design scalable data solutions considering business needs and industry trends.
Enforce common data design patterns and establish architecture standards.
Monitor data platform performance and implement improvements.
Implement security measures for sensitive data.
Mentor junior team members and promote a culture of learning.
Communicate complex data concepts to non-technical stakeholders.
Develop training materials and conduct training sessions.
Document designs and maintain project documentation.
Partner with team leads for internal process improvements.

AWS Leadership Python SQL Design Patterns ETL Java People Management Snowflake Strategy Airflow Data engineering Serverless Communication Skills Documentation Scala

Posted 17 days ago

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🔥 Staff Software Engineer (CLAW Data Pod)

Posted 18 days ago

📍 U.S.

🧭 Full-Time

💸 152000.0 - 282000.0 USD per year

🔍 Financial services

🏢 Company: NerdWallet👥 501-1000💰 Secondary Market over 3 years ago🫂 Last layoff 5 months agoInternet Consumer Financial Services Personal Finance

8+ years in software engineering with experience in backend development.
3+ years of experience with AWS, Snowflake, DBT, Airflow or equivalent.
3+ years building APIs and scalable backend systems.
Bachelor’s or Master’s degree in Computer Science, Engineering or related field.
Proficiency in modern programming languages such as Java, Python, or Typescript.
Experience with microservices architecture and cloud infrastructure.
Strong understanding of both SQL and NoSQL database systems.
Knowledge of security best practices in financial services.
Familiarity with CI/CD pipelines, Docker, and Kubernetes.
Experience in consumer credit, lending, loans, or insurance.

Revolutionize Pricing Pipelines by automating pricing workflows.
Design dashboards for real-time data insights.
Develop automated solutions for manual investigations.
Lead migration of legacy systems to Snowflake and advanced local data mart.
Build and maintain API and file-based ingestion pipelines.
Overhaul and unify data alerting systems.
Create user-friendly self-service reporting solutions.
Monitor and troubleshoot platform issues while improving performance.

AWS Backend Development Docker Leadership Python SQL Agile Java Kubernetes Snowflake TypeScript Airflow Nosql CI/CD RESTful APIs Microservices

Posted 18 days ago

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Shown 10 out of 66

Airflow Job Salaries

Median high-range salary for jobs requiring Airflow:

Skills and Salary

Kubernetes

Spark

Leadership

ETL

Data engineering

Kafka

AWS

Python

SQL

Industries and Salary

Advertising Technology

Fintech

Blockchain intelligence and financial services

Web Development

Financial Services

Personal finance

Healthcare

E-Commerce

ticketing industry

Automotive digital marketplace

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