Senior Data Engineer

il y a 2 jours

Eu, France AirDNA Temps plein

AirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industry—with offices in Denver and Barcelona.

Our self-serve platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape.

We also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world.

We track the daily performance of over 10 million Airbnb and Vrbo properties across 120,000 global markets. We also collect data from over a million partner properties. This marriage of scraped and source data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world.

We’re firm believers that data isn’t the destination; it’s the starting point. The launchpad. The bedrock for any future-forward business.

**The AirDNA Team**
- At AirDNA, we’re a team of data nerds on a mission to empower our customers to smartly grow their businesses. And we're looking for people with a broad range of experiences and perspectives, who are excited by our mission, values, and drive to change the short-term rental market. In short: Life is never boring here. And we genuinely live and breathe our company values: Happy, Hungry and Honest. People who are ready to exemplify these values are especially encouraged to apply.

**The Role**

**Here's what you'll get to do**:

- Build and extend data pipelines, written in Scala and running on Spark
- Tune Spark job performance
- Write clean, performant Scala code
- Work closely with our Product, Data Science and other Engineering teams to craft new products
- Contribute to Python and Scala-based microservices running on kubernetes

**Here's what you'll need to be successful**:

- 5 or more years of experience in a Data Engineer role
- BS/BA in Computer Science
- Experience developing cloud based pipelines
- Strong experience with Spark
- Experience with Scala, and exposure to Python
- Experience with developing and deploying cloud-based data solutions
- Experience in any of the following is considered to be an asset: streaming technology such as Kafka or Google Pub/Sub, Databricks, AWS / GCP, Postgres, Protobuf, Snowflake or other Data Warehousing solutions, and Test Driven Development
- Ability to operate with strong ownership and independence

**Tech stack**:

- Scala
- Python
- Spark
- Databricks
- AWS EMR, Athena, RDS (Postgres), Redshift, and S3

**Job perks**:

- Competitive cash compensation and benefits, the salary range for this position is €100,000 - €120,000 per year.
- Eligible for Company’s annual discretionary bonus program
- 36 holidays per year
- Continuing education stipend
- Talented international team and a vibrant work environment
- Bottom-up management: we listen to your ideas and implement them
- Team building events
- Dog friendly office
. Please allow for 24 hours to process your request.

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