ABOUT YOU
When things get messy, you see the potential for order. Every new dataset is a new opportunity. You thrive off of collaboration and feel energized as part of a driven, innovative team -- but also take pleasure in focusing on problems you can own and solve independently. A fail-fast environment shaped your growth mindset and you’re ready to mentor up-and-coming team members. You’re motivated by the opportunity to do meaningful work at a truly mission driven company.

As a Senior Data Engineer, you will…
- Lead the development of systems and datasets, applying best practices and diverse knowledge in our inclusive data engineering ecosystem
- Peer review and mentor junior team members, fostering their growth and development
- Analyze source systems, define data sources and transformation requirements, and design appropriate data models while documenting specifications
- Utilize broad technology expertise to build systems aligned with business needs in the Data Engineering ecosystem
- Implement systems and datasets using software engineering best practices, data management fundamentals, and operational excellence principles
- Demonstrate dedication to quality and productivity through efficient development techniques and adherence to standards
- Communicate effectively with teams and stakeholders, escalating and resolving technical and managerial issues
- Conduct peer reviews and actively mentor team members, enhancing their skills, system knowledge, and productivity

ABOUT AUDIBLE
Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. Our Hub+Home hybrid workplace model gives employees the flexibility between gathering in a common office space (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid.

BASIC QUALIFICATIONS

- A Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, Physics, or a related field
- Proficiency in functional programming languages (e.g. Python) as well as declarative programming languages (e.g. SQL, SPARQL)
- 2+ years of hands on experience in working on data-centric systems using MPP Database technologies and Hadoop, Spark, Kafka or AWS equivalents

PREFERRED QUALIFICATIONS

- Understanding of processing and modeling large, complex data sets for Analytical use cases with Database technologies such as AWS Redshift, Teradata or equivalent
- Ability to communicate effectively and work independently with little supervision to deliver on time quality products
- Willingness to learn, be open minded to new ideas and different opinions yet knowing when to stop, analyze, and reach a decision
- Familiarity with AWS cloud technologies such as Elastic Map Reduce (EMR), Kinesis, Athena
- Familiarity with BI and Visualization platforms such as MicroStrategy and AWS Quicksight
- Experience with React, HTTP/2, Serverless, Microservices, and cross-platform development
- Prior use of AWS technologies at scale in a production environment
- Working knowledge of Machine Learning techniques
- Strong problem-solving skills, adaptable, proactive and willing to take ownership
- Familiar with Unix/Linux and know how to write optimized, low-latency code
- Passion for data, coding, modeling, research design and cutting-edges algorithms
- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new systems