Description

　　Legal Technologies is looking for a Data Engineer to join our team. Legal Technologies is a software development team that builds tools for Amazon Legal to automate and manage litigation, regulatory contacts, contracts, and other legal work. The data engineer will creates data pipelines, manage the data warehouse, and support business intelligence engineers who build dashboards and reports for Amazon Legal.

　　The ideal candidate will have experience with data warehousing, ETL, and infrastructure. The candidate will be responsible for on-boarding new data sources and evolving the current architecture and data model. You will also have outstanding business acumen and an ability to work with a variety of teams with different technical abilities. You should be a self-starter comfortable with ambiguity, have a strong attention to detail, and be driven by a desire to innovate. While the data engineer is not directly responsible for building reports, they will support business intelligence engineers and business analysts who present data and metrics at all levels of the business.

　　Key job responsibilities

　　Support a data warehouse providing secure access to confidential departmental data across all areas of legal practice.

　　Use AWS tools for data intake, processing, storage, and analytics.

　　Meet with business customers to understand how they use data, and provide input and recommendations on technical issues to BI engineers and business analysts.

　　Ensures completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements.

　　Write complete SQL queries, and tune SQL queries for various data requests.

　　Responsible for data design, data extracts and transforms, data quality monitoring, enhancements and ongoing support.

　　About the team

　　The Legal Data & Business Intelligence is a small team supporting the Legal department, as well as reporting on legal processes that affect all of Amazon. Our focus is on capturing and presenting data, and enabling other teams to report on that data. We are part of a software development org, and work closely with the devs who build legal tools.

　　We are open to hiring candidates to work out of one of the following locations:

　　Seattle, WA, USA

　　Basic Qualifications

　　3+ years of data engineering experience

　　Experience with data modeling, warehousing and building ETL pipelines

　　Experience with SQL

　　Experience working on and delivering end to end projects independently

　　Preferred Qualifications

　　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 in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

　　Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

　　Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/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. Applicants should apply via our internal or external career site.