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Air Apps

Builds mobile tools for everyday tasks

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

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 such as AWS Redshift, Google BigQuery, Azure Synapse, or 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.
  • Familiarity with orchestration tools, containerization such as Docker and Kubernetes, and CI/CD workflows.
  • Knowledge of data security, governance, and compliance, including GDPR, CCPA, and SOC 2.
  • Strong problem-solving and debugging skills to handle large-scale data challenges.
  • Experience working in fast-paced, data-driven environments with cross-functional teams.

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 business needs.
  • Work with structured and unstructured data, ensuring appropriate 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.

Desired Qualifications

  • Experience with big data frameworks such as Apache Spark, Hadoop, Kafka, or Flink.

About the Company

Air Apps

Builds mobile tools for everyday tasks

Air Apps builds mobile apps for people who need practical tools for translation, document handling, calculations, and other daily tasks. Its translation app combines text, voice, and camera translation, while Scanner Air lets users scan, sign, and share documents from a phone. Its software uses device features such as cameras and keyboards to turn these tasks into dedicated apps, and translation tools also work across Apple's phones, tablets, watches, and computers. Users download the apps through app stores and pay subscriptions for premium features. Air Apps was founded in 2018 in Lisbon and is headquartered in San Francisco, with a second office in Lisbon.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2018

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