Data Engineer
At a glance
Mid-level Data Engineering role at Air Apps. San Francisco · full-time · $111,000–$196,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL pipelines for analytics and reporting, covering both scheduled and real-time processing
- Create and tune cloud data warehouses and lakes to support business intelligence and machine learning
- Set data models and storage approaches for structured and unstructured information
- Automate data intake, transformation and validation, then monitor data quality and query efficiency
- Work with analysts, scientists and software engineers to provide dependable data access and analysis
What you bring
- Around four or more years in data engineering, software engineering or database management
- You can process and automate data with SQL, Python or Scala
- Hands-on work with cloud data platforms and experience building ETL flows with pipeline tools
- A solid grasp of data modeling, schema design and database performance tuning
Who this fits
This mid-level role suits an engineer who can build data infrastructure and collaborate across analytics and software teams. The position is on-site in San Francisco.
From the employer
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 Conference – an opportunity to meet the team, collaborate, and grow together.
Transportation budget
Free meals at the hub
Gym membership
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.
Important Notice
Air Apps does not partner with nor is represented by any recruiting agencies, staffing firms, or third-party recruiters in connection with our hiring efforts. All legitimate communication regarding Air Apps opportunities will come exclusively from an official @airapps.com email address. Additionally, all open positions are published only through our official careers platform, Ashby.
If you are contacted by anyone claiming to represent Air Apps from a different email domain, through a recruiting agency, or via a job posting source other than Ashby, please exercise caution. We do not accept unsolicited candidate submissions from agencies, and any such submissions will not be considered.
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