Amazon Security (AmSec) is looking for a Data Engineer II to join a team of highly skilled individuals working on our initiatives in resource and application discovery within Amazon security. Our product, Veritas, is a foundational service within Amazon security that provides data for security initiatives like security reviews, threat modeling and detection, access control and incident response.
You will be part of a AmSec organization that spans over ten countries worldwide, catering to a wide variety of customer use cases, including security intelligence, application security, incident response, security operations, risk and compliance, acquisitions and subsidiaries, and external partner security.
You will work closely with a diverse range of roles, such as Software Development Engineers, Data Scientist, Data Engineers, Technical Program Managers, Product managers and our Security Engineer customers, to build high quality datasets for security investigations, application modeling, and more.
You’ll primarily work with AWS services such as EMR, Glue, Athena, Redshift, S3, SNS, SQS, Apache Airflow, along with some internal tools.
You’ll also be part of our transformation journey to build data objects by leveraging AI. Our data lake contains over 500 datasets from various sources, with some handling daily volumes exceeding 1TB.
As Data Engineer, you will be gathering and understanding data requirements, partnering with software engineers, and collaborating across roles and teams to create the necessary data infrastructure and high quality pipelines to drive our team's initiatives. We have high-visibility data ingestion goals in a fast-paced, operational environment. The ideal candidate should enjoy the challenge of operating complex and mission-critical systems under ambiguity.
Key job responsibilities
• Develop and influence the teams’ data strategy and data storage roadmap through working closely with partners
• Lead designs for data governance strategy, define data schema and develop tools to enable more efficient data sharing with customers which adhere to highly confidential data handling guidelines.
• Continually improve the data quality and operations, via automation and building full CI/CD data pipelines
• Recognize and adopt best practices in data integrity, data model, testing, analysis, validation, and documentation.
• Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems
• Utilize AI/LLM to automate manual and redundant data engineering task
• Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets
• Understand and analyze business processes, logical data models and relational database implementations
• Write high performing and optimized SQL queries
About the team
Why Amazon Security?
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- 4+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
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 $118,900/year in our lowest geographic market up to $205,600/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.
