Analytics Engineer - Data (Remote Eligible - US)
New York City
Dashlane
Dashlane Password Manager safeguards businesses & people with easy-to-use, powerful features. Protect & manage passwords and passkeys in one secure solution.At Dashlane we believe in leading with employee choice and respect peoples' different needs and preferences. Our interview process follows this same principle. In light of the ongoing pandemic, most people are currently choosing to interview remotely via Zoom. If you have different preferences, we welcome you to discuss them with us and we'll do our best to accommodate.
About Dashlane
Dashlane's mission is to make security simple for millions of organizations and their people. We empower businesses of every size to protect company and employee data while helping everyone easily log in to the accounts they need—anytime, anywhere.
Our global team with offices in Paris, New 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:
Our Data & Analytics group is growing and now includes close to 30 multidisciplinary members! As we continue to expand and innovate, we are looking for an Analytics Engineer to join the Data Engineering team and work alongside Data Analysts and Data Scientists. As an Analytics Engineer - an integral part of the Data team - you will play a pivotal role in storing, modelling, and processing our data. You will also design ETL pipelines, ingest data from multiple sources, derive business insight and allow dashlaners to receive feedback on their work while improving the product and growing the business. The team has full ownership of the data platform, and we promote multidisciplinarity, giving team members the opportunity to bring their expertise and the chance to expand their knowledge on all things data related.
The role in numbers :
- 1 Team: Data Engineering
- 2 Roles: 6 Data Engineers, 1 Analytics Engineer
- >10TB of raw data
1 day :
- 100M client events
- ~50 data pipelines
- ~250 SQL transactions
About our Stack:
- Data acquisition: ECS, Kinesis, Firehose, Lambda, DMS, Airbyte
- Scheduling/Orchestration: Airflow, dbt
- Transform: SQL, Glue Jobs (python and Spark),
- Datalake: S3, Glue Crawlers, Athena
- Datawarehouse: Redshift
- Dashboard: Tableau
- Code versioning: Gitlab
- Preferred languages: SQL and Python
- Infrastructure : Terraform, ansible, packer
- Monitoring: Cloudwatch
At Dashlane you will:
- Develop data models and schemas that enable performant and intuitive analysis in a Data Warehouse setting
- Use data pipelines on Airflow (python) and dbt (sql templating) to acquire, process and deliver insights
- Communicate and collaborate with different stakeholders: Analysts, Product Managers and Data Scientists, to gather model requirements and detailed pipeline designs
- Facilitate and guide the definition and documentation of analytics application logs
- Work in a fast-paced, distributed environment, collaborating with our New York, Paris, and Lisbon teams
We're looking for:
- 3+ years of SQL experience with the ability to write complex queries
The ideal candidate will also have:
- 3+ years of experience in translating business requirements to data pipelines
- 2+ years of experience using ETL and Orchestration tools
- 2+ years of experience working with large data sets, optimising storage and querying
- 1+ year(s) of experience with a scripting language (preferably Python)
- A passion for sharing the value of data and communicating insights to a broad audience with varying levels of technical expertise
- Experience with dashboarding tools, like Tableau, directly or indirectly
- Experience with streaming AWS: Kinesis or Kafka
- Experience with a serverless on AWS or outside
- Excellent English verbal/written communication and presentation skills
If you are passionate about data, security, technology, looking to grow, and have what we are looking for - please reach out, we'd love to meet you.
Diversity, Equity, Inclusion and Belonging at Dashlane:
As a truly international company—founded in France and distributed across France, US and Portugal—Dashlane thrives off diverse perspectives. We value all aspects of diversity: gender identity, sexual orientation, ability, ethnic origin, social background, age, lifestyle, and more. We 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.
Tags: Airflow Ansible Athena AWS Data pipelines ECS Engineering ETL Firehose GitLab Kafka Kinesis Lambda Pipelines Python Redshift Security Spark SQL Streaming Tableau Terraform
Perks/benefits: Team events
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