Build and maintain secure, scalable data infrastructure for secured access to large datasets within Amazon Security Foundations.

Design, implement, and support a platform for secured access to large datasets
Architect, develop, and maintain end-to-end scalable data infrastructure and data pipelines
Own the team’s data strategy and define the technical roadmap for data storage and pipeline design and implementation
Partner with technology teams to extract, transform, and load data from diverse sources using SQL, scripting, and AWS big data technologies
Design and implement complex ETL pipelines and BI solutions
Collaborate with business owners, developers, and Business Intelligence Engineers to evaluate new data sources and deliver data
Enable self-service within the team by providing the skills needed to handle complex tasks independently, including efficient troubleshooting of data-related issues to increase autonomy and productivity, with a focus on self-reliance

1+ years of data engineering experience
Experience with data modeling, data warehousing, and building ETL pipelines
Experience with one or more query languages such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
Experience with one or more scripting languages such as Python or KornShell

Experience with big data technologies such as Hadoop, Hive, Spark, and EMR
Experience with any ETL tool such as Informatica, ODI, SSIS, BODI, or Datastage

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription), Basic Life & AD&D, option for Supplemental life plans
EAP
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

Data Engineer I, Secure Third Party Tools (S3T)

Location: Austin, TX (onsite)
Salary: USD 101,300 - 160,000 per year

Job Description