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Aura is on a mission to create a safer internet. In a world where our lives are increasingly online, Aura's category-defining suite of intelligent digital safety products help millions of customers protect themselves against digital threats, and that number is growing rapidly. This is an exciting phase at Aura, and our team of over 400 people worldwide is guided by a leadership slate that's successfully grown startups into multi-billion dollar organizations.
Come build with us!
Senior Data Engineer
About the role:
We are seeking a skilled Senior Data Engineer to help us continue building and improving our data platform and infrastructure. At Aura, data is at the core of our decision making and customer experiences and the Data Engineering team is key to making that happen. This role will be tasked with ensuring the reliability, scalability, and performance of our data infrastructure, which supports critical business operations across various teams. The ideal candidate will have several years of experience building and maintaining data pipelines, strong communication skills, curiosity, and passion for solving complex data challenges.
Day to day:
- 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 science products and data engineering workflows, including monitoring data integrity and reliability
- 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
- Evaluate, recommend, and build prototypes of new data engineering technology
- Work closely with stakeholders like Analysts and Data Scientists to understand business requirements and translate them into technical solutions
- Take a lead role in technical architecture discussions and champion high code quality standards through peer code reviews
What you bring to the table:
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience. Master’s degree preferred
- 5+ years of experience as a data engineer working with a modern tech stack
- Track record of architecting, designing, and deploying high performance systems with reliable monitoring and logging practices
- Proficiency in batch processing technologies such as Spark and Airflow
- Knowledge of Python, Spark, and SQL
- Experience with cloud platforms (AWS preferred) and their data services
- Able to own, organize, and steer team projects
It would be great if you also had:
- Experience working with Databricks and Scala
- Experience creating infrastructure as code using tools like Terraform
- Aura is committed to offering a generous package to support our employees in all aspects of their life in and out of work. Our packages offer competitive pay, generous health and wellness benefits, retirement savings plans, parental leave and much more! Pay range for this position is $140,000-185,000, but may vary depending on job-related knowledge, skills, experience and location.
- #LI-Remote
Aura is proud to be an equal employment workplace. All qualified applicants will be considered for employment without regard to, and will not be discriminated against based on race, color, ancestry, national origin, religion, age, sex, gender, marital status, sexual orientation, gender identity, disability status, veteran status, or any protected category. Beyond equal employment opportunity, Aura is committed to being an inclusive community where all feel welcome.
Aura is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please let your Talent Acquisition Partner know.
Important privacy information for United States based job applicants can be found here.
Aura Mountain View, California, USA Office
Mountain View, CA, United States
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