Air Apps
Join to apply for the
Data Engineer
role at
Air Apps Join to apply for the
Data Engineer
role at
Air Apps Get AI-powered advice on this job and more exclusive features. About Air Apps
At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. About Air Apps
At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.
Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.
Join us on this journey to redefine resource management—and change lives along the way.
The Role
As a
Data Engineer
at Air Apps, you will be responsible for
designing, building, and optimizing data pipelines, data warehouses, and data lakes
to ensure efficient data processing and analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives.
This role requires
expertise in data architecture, ETL processes, and cloud-based data solutions
to handle large volumes of structured and unstructured data.
Responsibilities
Design, build, and maintain scalable data pipelines and ETL workflows to support analytics and reporting. Develop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure. Implement real-time and batch data processing solutions for various business needs. Work with structured and unstructured data, ensuring proper data modeling and storage strategies. Ensure data reliability, consistency, and scalability through best practices in architecture and engineering. Collaborate with data analysts, scientists, and software engineers to enable efficient data access and analysis. Automate data ingestion, transformation, and validation processes to improve data quality. Monitor and optimize query performance and data processing efficiency. Implement security, compliance, and governance standards for data storage and access control. Stay up to date with emerging data engineering trends, tools, and technologies.
Requirements
Around 4+ years of experience in data engineering, software engineering, or database management. Proficiency in SQL, Python, or Scala for data processing and automation. Hands-on experience with cloud-based data solutions (AWS Redshift, Google BigQuery, Azure Synapse, Snowflake). Experience building ETL pipelines with tools such as Apache Airflow, dbt, Talend, or Fivetran. Strong understanding of data modeling, schema design, and database optimization. Experience with big data frameworks (Apache Spark, Hadoop, Kafka, Flink) is a plus. Familiarity with orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows. Knowledge of data security, governance, and compliance (GDPR, CCPA, SOC 2). Strong problem-solving and debugging skills with the ability to handle large-scale data challenges. Experience working in fast-paced, data-driven environments with cross-functional teams.
What benefits are we offering?
Apple hardware ecosystem for work. Annual Bonus. Medical Insurance (including vision & dental). Disability insurance - short and long-term. 401k up to 4% contribution. Air Stipend of $3,120/year, paid over 12 monthly installments (for home office, learning, wellness, etc.). Air Conference – an opportunity to meet the team, collaborate, and grow together.
Diversity & Inclusion
At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
Application Disclaimer
At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Air Apps by 2x Get notified about new Data Engineer jobs in
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Data Engineer
role at
Air Apps Join to apply for the
Data Engineer
role at
Air Apps Get AI-powered advice on this job and more exclusive features. About Air Apps
At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. About Air Apps
At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.
Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe.
Join us on this journey to redefine resource management—and change lives along the way.
The Role
As a
Data Engineer
at Air Apps, you will be responsible for
designing, building, and optimizing data pipelines, data warehouses, and data lakes
to ensure efficient data processing and analytics. You will work closely with data analysts, scientists, and software engineers to create scalable and reliable data infrastructure that supports business intelligence and machine learning initiatives.
This role requires
expertise in data architecture, ETL processes, and cloud-based data solutions
to handle large volumes of structured and unstructured data.
Responsibilities
Design, build, and maintain scalable data pipelines and ETL workflows to support analytics and reporting. Develop and optimize data warehouses and data lakes using cloud platforms such as AWS, Google Cloud, or Azure. Implement real-time and batch data processing solutions for various business needs. Work with structured and unstructured data, ensuring proper data modeling and storage strategies. Ensure data reliability, consistency, and scalability through best practices in architecture and engineering. Collaborate with data analysts, scientists, and software engineers to enable efficient data access and analysis. Automate data ingestion, transformation, and validation processes to improve data quality. Monitor and optimize query performance and data processing efficiency. Implement security, compliance, and governance standards for data storage and access control. Stay up to date with emerging data engineering trends, tools, and technologies.
Requirements
Around 4+ years of experience in data engineering, software engineering, or database management. Proficiency in SQL, Python, or Scala for data processing and automation. Hands-on experience with cloud-based data solutions (AWS Redshift, Google BigQuery, Azure Synapse, Snowflake). Experience building ETL pipelines with tools such as Apache Airflow, dbt, Talend, or Fivetran. Strong understanding of data modeling, schema design, and database optimization. Experience with big data frameworks (Apache Spark, Hadoop, Kafka, Flink) is a plus. Familiarity with orchestration tools, containerization (Docker, Kubernetes), and CI/CD workflows. Knowledge of data security, governance, and compliance (GDPR, CCPA, SOC 2). Strong problem-solving and debugging skills with the ability to handle large-scale data challenges. Experience working in fast-paced, data-driven environments with cross-functional teams.
What benefits are we offering?
Apple hardware ecosystem for work. Annual Bonus. Medical Insurance (including vision & dental). Disability insurance - short and long-term. 401k up to 4% contribution. Air Stipend of $3,120/year, paid over 12 monthly installments (for home office, learning, wellness, etc.). Air Conference – an opportunity to meet the team, collaborate, and grow together.
Diversity & Inclusion
At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.
Application Disclaimer
At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Air Apps by 2x Get notified about new Data Engineer jobs in
San Francisco, CA . San Francisco, CA $160,000.00-$180,000.00 2 weeks ago Full-Stack Software Engineer (Jr/Mid level)
San Francisco, CA $120,000.00-$180,000.00 1 month ago San Francisco, CA $150,000.00-$230,000.00 3 months ago Software Development Engineer I - Frontend & Mobile
San Francisco, CA $150,000.00-$176,000.00 3 months ago San Francisco, CA $120,000.00-$190,000.00 9 months ago San Francisco, CA $150,000.00-$180,000.00 2 days ago San Francisco, CA $125,000.00-$175,000.00 1 month ago Software Engineer, Frontend (All Levels)
San Francisco, CA $150,000.00-$220,000.00 6 days ago Walnut Creek, CA $115,000.00-$135,000.00 6 days ago San Francisco, CA $165,000.00-$165,000.00 2 years ago Alameda, CA $130,000.00-$160,000.00 1 month ago San Francisco, CA $140,000.00-$280,000.00 8 months ago San Francisco, CA $120,000.00-$200,000.00 2 years ago San Francisco, CA $150,000.00-$300,000.00 1 month ago San Francisco, CA $150,000.00-$250,000.00 10 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr