Due to the ongoing pandemic, our interview and onboarding processes will remain fully remote until further notice. At times like this, we're even more committed to providing you support and flexibility while you interview and onboard for your new job.

Are you an engineer that enjoys using data to drive insight and promote transparency? Join Dashlane as a Data Engineer and take part in building data systems that influence key decisions for our company's growth. 

About Dashlane:

Dashlane is a web and mobile app that simplifies password management for people and businesses. We empower organizations to protect company and employee data, while helping everyone easily log in to the accounts they need—anytime, anywhere. A better digital future starts with secure access.

Our team in ParisNew York, and Lisbon is united by a strong sense of community and passion for improving the digital experience. Over 15 million users and 20,000 businesses in 180 countries use Dashlane for a faster, simpler, and more secure internet.

About the role:

Dashlane is looking for a talented Data Engineer to optimize our data to enable our company to scale in the coming years. Inside our Data Engineering team, you will be designing pipelines and warehouses to model data from multiple sources that will allow us to derive business insight. Using AWS and open-source technologies, such as Airflow and Spark, you will design and build our next-generation ETL pipelines and data models.

Location:

At Dashlane, depending on your role, you'll be able to opt to work from the office or remotely. Due to legal constraints, at the moment Dashlane can only hire remotely in one of the three countries we have offices (Portugal, France and the USA).

This position’s location is flexible within the US, and you can also opt to work from our NYC office.

At Dashlane you will:

  • Build data pipelines and python-based ETL tools for acquiring, processing, and delivering data
  • Develop data models and schemas in our data warehouse that enable performant, intuitive analysis
  • Handle the challenges that come with managing terabytes of data
  • Collaborate with business leaders and analysts to define key metrics and build reporting to monitor and understand company performance
  • Develop the server applications and APIs that are used by our Data Team

Requirements:

  • You have 3+ years of experience as a data engineer, business intelligence analyst, or in a highly analytical role
  • You have 3+ years of experience with a scripting language (preferably Python) for data processing and analysis
  • You have experience designing SQL tables, choosing indexes, tuning queries, and optimizations across different functional environments. 
  • You have experience writing complex SQL queries and using a BI tool

We're also looking for:

  • You have a passion for sharing the value of data and communicating insights to a broad audience with varying levels of technical expertise
  • You have experience with data lakes and designing and maintaining data solutions using Spark and AWS serverless services such as Kinesis, Lambda, or SQS
  • You have experience administrating, ingesting, and monitoring data in data warehouses such as Amazon Redshift or Microsoft SQL Server
  • You are a self-starter that can work in a fast-paced, distributed environment, as you will be collaborating with our Paris and Lisbon teams

Diversity, Equity, Inclusion and Belonging at Dashlane:

As a truly international company - founded in Paris and split between Paris, New York, and Lisbon, Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more - and are committed to hiring a diverse community and fostering a culture where everyone is heard and belongs.

Your interview experience: 

To know what to expect once you’ve sent your application, read about how we interview and hire at Dashlane in this blog article written by our Talent team. Feel free to browse our blog to find more information about our product and how we work.

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