Data Engineer , READI

Arlington, Virginia, USA

Full Time
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Job summary
Recruiting the right candidates across all of Amazon is critical to our ability to innovate and build on behalf of customers. The Recruiting Engine Analytics Data and Insights Team is reinventing how we recruit at Amazon with the mission to make Amazon the most scientific Recruiting organization on earth.

A day in the life
You are a proven technical leader within your org and relish identifying and solving data problems before others even see symptoms. You are efficient in applying your trade craft and use the time saved to anticipate next steps and guide/mentor others on your team. Your desire to learn and grow is unbounded. You seek exposure to a diverse set of technical problems and can work among an equally diverse team of Amazonians to solve them.

About the hiring group
As the search for talent becomes more competitive, Amazon is bringing together recruiting, science, tech, programs, and process teams to find and hire candidates who raise the bar more quickly and efficiently. You will be joining a new team set to develop a ground-up solution to build a cutting-edge Recruiting data solution.

We are looking for a Data Engineer to work with our leadership team, engineering and product, and recruiting teams to identify key data to drive analysis and those insights into action with the right teams. The ideal candidate will have a natural curiosity about solving problems – familiar with the complexity of human created ambiguous data. They will be a critical thinker with advanced problem solving, data mining, and data engineering skills able to answer ambiguous questions in data that help leaders make great data driven decisions. The successful candidate will work with a highly collaborative team, and have direct influence over data engineering roadmaps, deliver high performant data.

Job responsibilities
You are a technical leader within your org and relish identifying and solving data problems before others even see symptoms. You are efficient in applying your trade craft and use the time saved to anticipate next steps and guide/mentor others on your team. Your desire to learn and grow is unbounded. You seek exposure to a diverse set of technical problems and can work among an equally diverse team of Amazonians to solve them.



This position can be based in Austin, TX or in any USA Amazon Corporate office location.


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.

Basic Qualifications


· 1+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor's degree in a quantitative heavy field - Business, Sociology, Engineering, Statistics, Computer Science, Mathematics or related field
· Demonstrated strength in SQL, data modeling, ETL development, and data warehousing.
· Direct experience with one or more major data visualization tools including Tableau/QuickSight/Power BI

Preferred Qualifications

· Advanced technical or business degree (MS or MBA)
· Experience using AWS analytical services (e.g., Redshift, Data Pipeline, EMR, Machine Learning, Kinesis)
· 5+ years of hand-on experience with multiple analytics framework development platforms such as R, Python, SQL, AWS Services etc.
· Proven problem solving skills, project management skills, attention to detail, ability to influence others and exceptional organizational skills
· Ability to deal with ambiguity and competing objectives in a fast paced environment
· Be self-driven, and show ability to deliver on ambiguous projects with incomplete data
· Excellent communication (verbal and written) and interpersonal skills
· Ability to effectively communicate with both business and technical teams. Ability to work collaboratively with non-technical customers and team members and translate business questions into analytical requirements with ease.



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.

Job region(s): North America
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