Data Engineer

Air Apps; San Francisco (CA); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative company is seeking a passionate Data Engineer to join their dynamic team. In this role, you'll design and optimize data pipelines, ensuring efficient processing and analytics for an AI-powered resource planner. With a focus on cloud-based solutions and a commitment to data integrity, you'll collaborate with cross-functional teams to enable impactful business intelligence and machine learning initiatives. Join a forward-thinking organization that values diversity and offers a remote-first work environment, flexible hours, and a range of benefits including an annual bonus and health insurance. This is your chance to make a significant impact in a fast-paced, data-driven landscape.

Benefits

Remote-first approach

Apple hardware ecosystem

Annual Bonus

Medical Insurance

Disability insurance

401k up to 4% contribution

Air Stipend of $3,120/year

Air Conference 2025 in Las Vegas

Qualifications

• 4+ years of experience in data engineering or software engineering.
• Proficiency in SQL, Python, or Scala for data processing.

Responsibilities

• Design and maintain scalable data pipelines and ETL workflows.
• Collaborate with data analysts and scientists for efficient data access.

Skills

SQL

Python

Scala

Data Modeling

ETL Processes

Problem-Solving

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS Redshift

Google BigQuery

Azure Synapse

Snowflake

Apache Airflow

Docker

Kubernetes

Apache Spark

Job description

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?

• Remote-first approach with flexible working hours.

• 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 2025 in Las Vegas – 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.