Aura helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. With adaptive technology, a seasoned team, and a first-of-its-kind product suite, Aura enables customers to manage disparate cybersecurity needs with ease. Backed by premier investors, WndrCo and General Catalyst, Aura's category-defining business is a holistic personal digital security platform that unites best-in-class privacy, identity, and security products.
Trusted by more than 2 million customers, Aura has a team of more than 450 people worldwide and revenues over $200 million. Most importantly, this trajectory continues to show momentum and is supported by strong organic growth in addition to strategic customer acquisition. Aura's leadership team has seen similar success before, having grown a start-up to a valuation of over $3 billion prior to exit. With a clear vision, strong alignment, and strategic M&A execution, Aura has assembled a stellar team and built a unique culture with incredible employees. Join us for the ride!
The Role
At Aura, data are at the core of most of decision making and our Data Platform is one of the pillars supporting the company's growth. The data that pass through the Planform are used by both internal and external customers. We are looking for a Sr. Data Engineer to help us continue improving the architecture, enhancing, and maintaining the Data Platform.
Responsibilities

• Design, build, deploy, and support scalable pipelines (scaling in both volume and variety of data sources)
• Enhance and maintain the infrastructure powering our analytics and data products.
• Drive data quality across the organization; develop best practices and frameworks for unit, functional and integration tests for our team's test coverage and automation
• Define and manage SLAs for data sets and processes running in production
• Contribute to enhancements of Data Governance
• Evaluate, recommend, and build prototypes of new data engineering technology
• Participate in technical architecture discussions and peer code reviews

Qualifications

• 5+ years of experience as a data engineer working with a modern tech stack
• Proficiency in batch processing technologies such as Spark and Airflow
• Track record of architecting, designing and deploying high performance systems with reliable monitoring and logging practices
• Knowledge of Python, scala, Spark, and SQL
• Strong communication skills

Nice To Have

• Knowledge of container services (Docker/Kubernetes)
• Experience with Stream-processing systems (kafka, or equivalent)

In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination or harassment based on "protected categories," Aura is committed to being an inclusive community where all feel welcome. Whether blatant or hidden, barriers to success have no place at Aura.
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