Data Engineer II
Description
Blue Nile is looking for a highly motivated, results-oriented Data Engineer to join our Data Engineering team. If you have strong technical skills, love to work in a fast-paced team and want to help businesses make better decisions through collection & organization of data, you'll have a great time working on this small team. You will focus on the development of the data warehouse including our transition to a hybrid environment utilizing both on-premises and cloud-based data stores and tools. The data warehouse is a strategic asset for the company and powers data, insights, and actions across all business functions. You will collaborate with the team to expand and optimize our data and data pipeline architecture. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Blue Nile is the largest online retailer of certified diamonds, engagement rings and fine jewelry. Our standards are among the highest of all jewelers. We provide a superior customer experience, extraordinary value and industry leading product quality and style. We obsess about our customers and are passionate about providing each customer with an amazing experience.
Our corporate offices are located in Seattle’s vibrant Pioneer Square district, home to the latest wave of internet startups and packed with restaurants and entertainment including Century Link and Safeco fields. We are close to transportation, the waterfront, and parks. Our dress code favors jeans and our facilities include bike racks and showers.
Responsibilities:
- Experienced with working in a hybrid environment utilizing both on-premises and cloud-based data stores and tools
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and GCP regions.
- Create data tools for analytics and data scientist team members that assist them in building/providing actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Qualifications for Data Engineer
- Bachelor’s Degree in Information Technology or Computer Science or equivalent
- 5-8 years experience working in a data engineer role
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience with Python scripting
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Experience supporting and working with cross-functional teams in a dynamic environment.
What we offer:
- Medical, Dental, and Vision Healthcare Coverage
- 401(k) with Company Match
- Paid Vacation
- Competitive Salaries
- Transportation Allowance
- Employee Discount
- Employee Referral Bonus
- Fitness Center Discount
