Data Engineer, Global Employee Relations

3+ months agoSeattle, WA


Amazon's Worldwide Consumer and Operations Employee Relations (ER) team is looking for a Engineer (DE) with a demonstrated passion for building innovative new tools and processes that support the World Wide Consumer and Operations organizations across Amazon.

The DE will be a strategic partner for our Program Managers, Economists and ER professionals. This DE will build net new solutions for these partners and in yet-to-be-defined spaces in our industry. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. You will act as the business-facing subject matter expert for storage, transformation, feature instrumentation, and privacy, while owning the responsibility of managing end-to-end execution and delivery across projects.

Core Responsibilities
• Build cool stuff with multiple tools and platforms at your disposal to best solve the business problem.
• Help drive business decisions with your technical input and be a technical leader for the team.
• Design, implement and support an analytical infrastructure from the ground up.
• Managing AWS resources including EC2, EMR, S3, Glue, Redshift, PostgresSQL etc.
• Interface with other technology teams to extract, transform, and load from a wide variety of sources using SQL and AWS big technologies.
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
• Collaborate with Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: integrity, test design, analysis, validation, and documentation.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.

What is Employee Relations at Amazon you ask?
The Employee Relations team is responsible for the identification of defects in our employee experience across all roles in the Worldwide Consumer and Operations organization and beyond. Finding these defects is not enough though; we are tasked with building and deploying products, tools and solutions to remove these defects. Our products and programs are ever-changing and we continually innovate to transform and improve the employee experience. This position supports Amazon's Worldwide Consumer and Operations portfolio, and when we do our jobs well, we have a direct positive impact on the daily work of over 1.0m+ Amazonians.

Inclusive Team Culture
Our team has a developed a reputation for attracting, developing, and retaining amazing talent from diverse backgrounds. Yes we do get to build really cool services and work closely with our customers, but we also think a big reason for our diversity is the inclusive and welcoming culture we try to cultivate every day. We're looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we've been building.


• 4+ years of industry experience in software development, engineering, business science, or related field
• Demonstrated proficiency in SQL
• modeling, ETL development, and warehousing experience
• Experience using big technologies such as Spark, Hive, Redshift, or S3.
• Experience in one or more of: R, Bash, or other scripting language
• Experience manipulating, processing, and extracting value from sets
• Knowledge of management fundamentals and storage principles


• Masters in computer science, mathematics, statistics, economics, or other quantitative fields.
• Deep knowledge and experience working with AWS big data technologies (Redshift, S3, EMR)
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
• Experience providing technical leadership and mentoring other engineers for best practices on data engineering
• Familiarity with statistical models and data mining algorithms
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Ability to work on a diverse team or with a diverse range of coworkers

The base pay range for this position in Colorado is $ 113,000 - $160,000 a year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.

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

We believe passionately that employing a diverse workforce is central to our success and we make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, gender, disability, sexual orientation, race, religion or belief.

Job ID: Amazon-1459134