Data Engineer
Audible
Software Engineering, Data Science
Newark, NJ, USA
USD 99,500-200k / year + Equity
Posted on Aug 29, 2025
Data Engineer
Technology | Job ID 3068269Job Summary
At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.
ABOUT THIS ROLE
Data drives innovation and this role is behind the wheel of our Data Engineering group. This foundational role designs and builds the paths to fine-tune Audible’s operations and outpace our competitors. Our Data Engineering group owns the datasets and platforms that not only enable our systems but also our people, to uncover new insights. You’ll put your experience to work in a start-up culture – all while accessing the tech-forward tools, training, and infrastructure of our parent company, Amazon.
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 Software Engineer in the Data Organization, you will…
- Develop and maintain ETL pipelines and data processing systems under guidance from senior team members
- Implement data models and transformations based on established patterns and requirements
- Write clean, testable code following team standards and best practices
- Collaborate with team members on data pipeline design and implementation
- Participate in code reviews and learn from feedback to improve your technical skills
- Support data quality initiatives and monitoring of existing systems
- Document your work and contribute to team knowledge sharing
- Assist in troubleshooting data issues and implementing fixes
- Work with stakeholders to understand data requirements and translate them into technical solutions
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. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
ABOUT THIS ROLE
Data drives innovation and this role is behind the wheel of our Data Engineering group. This foundational role designs and builds the paths to fine-tune Audible’s operations and outpace our competitors. Our Data Engineering group owns the datasets and platforms that not only enable our systems but also our people, to uncover new insights. You’ll put your experience to work in a start-up culture – all while accessing the tech-forward tools, training, and infrastructure of our parent company, Amazon.
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 Software Engineer in the Data Organization, you will…
- Develop and maintain ETL pipelines and data processing systems under guidance from senior team members
- Implement data models and transformations based on established patterns and requirements
- Write clean, testable code following team standards and best practices
- Collaborate with team members on data pipeline design and implementation
- Participate in code reviews and learn from feedback to improve your technical skills
- Support data quality initiatives and monitoring of existing systems
- Document your work and contribute to team knowledge sharing
- Assist in troubleshooting data issues and implementing fixes
- Work with stakeholders to understand data requirements and translate them into technical solutions
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. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
Basic Qualifications
- 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)
- Proficiency in functional programming languages (e.g. Python) as well as declarative programming languages (e.g. SQL, SPARQL)
Preferred Qualifications
- Experience 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $99,500/year in our lowest geographic market up to $200,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.