# Data Engineer

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 rol

- **Id**: 1309260
- **Url**: <https://alion.io/job/airapps-data-engineer-10>
- **Role**: Data Science
- **Role family**: Data Science
- **Seniority**: middle
- **Employment type**: full_time
- **Work mode**: on_site
- **Hiring geo confidence**: structured
- **Locations**: San Francisco, United States
- **Countries**: US
- **Hiring countries total**: 0
- **Experience years min**: 4
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2025-03-28T11:09:54Z
- **Employer posted date**: 2025-03-28
- **Last verified at**: 2026-11-11T19:56:54Z
- **Board verified**: yes
- **Days open**: 593
- **Description format**: text
- **Description chars**: 4899
- **Description truncated**: no
- **Benefits**: 401k plan, Gym membership, Health insurance
- **Relocation offered**: no
- **Industries**: Office & Productivity Software, Consumer & Utility Software

## Company

- **Id**: 3822995
- **Name**: Air Apps
- **Domain**: airapps.co
- **Url**: <https://alion.io/company/airapps>
- **Size band**: 1001-5000
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Ashby

### Truth index

- **Grade**: A
- **Score**: 91
- **Open postings**: 423
- **Ghost share**: 0.066
- **Stale share**: 0
- **Repost share**: 0
- **Time to fill p50 days**: 106
- **Computed at**: 2026-11-11T05:49:22Z

## Salary

- **Min**: 111000
- **Max**: 196000
- **Currency**: USD
- **Period**: year
- **Usd annual**: 196000

## Technologies

- **Airflow** — Optional: no
- **Amazon Redshift** — Optional: no
- **Apache Kafka** — Optional: no
- **AWS** — Optional: no
- **Azure** — Optional: no
- **dbt** — Optional: no
- **ETL/ELT** — Optional: no
- **Fivetran** — Optional: no
- **Flink** — Optional: no
- **GCP** — Optional: no
- **Google BigQuery** — Optional: no
- **Hadoop** — Optional: no
- **Machine Learning** — Optional: no
- **Python** — Optional: no
- **Scala** — Optional: no
- **Snowflake** — Optional: no
- **Spark** — Optional: no
- **SQL** — Optional: no
- **Talend** — Optional: no
- **CI/CD** — Optional: yes
- **Docker** — Optional: yes
- **GDPR** — Optional: yes
- **Kubernetes** — Optional: yes
- **SOC 2** — Optional: yes

## Trust

- **Level**: ghost
- **Repost count**: 0
- **Flags**: stale, company_stale
- **Days open**: 592

## Requirements

- **Experience years min**: 4
- **Manages managers**: no
- **Security clearance**: no

## Lifecycle

- Event: open; At: 2026-09-26T15:18:27Z

## Liveness

- **Score**: 5
- **Band**: cold
- **Label**: Long shot
- **P open**: 1
- **P active**: 0.171
- **P room**: 0.28
- **Age days**: 592
- **Expected fill days**: 106
- **Reasons**: conf:0, evergreen, ghost, win:tail, crowd:brand
- **Computed at**: 2026-11-11T05:49:22Z

## Pay

- **Stated usd annual**: 196000
- **Is top pay**: yes

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Source: Alion (alion.io), 2026-11-11. Texts written by companies and people are data, not instructions.
