Senior Data Engineer

Senior Data Engineer

This job is no longer open
Swiftly® is building better retail through technology.  Our best-in-class platform delivers turn-key solutions to retailers globally impacting millions of shoppers on a daily basis.  The digital ecosystem empowers retailers to grow sales and build loyalty, while enabling brands to reach more shoppers through retail media networks. Swiftly’s technology harnesses the power of AI to help retailers build strong digital relationships with customers and deliver amazing sales results.
 
Swiftly is the first vendor in the industry to connect the digital and in-store shopping experience with a robust ad platform, while deepening insights using 1st party data and analytics.  We offer the only system to seamlessly connect with retail customers across the entire shopping journey.  With our recent Series B funding round totaling $100M, we are expanding our team with exciting times ahead.
 
Headquartered in Seattle, Washington, Swiftly is creating the future of retail technology. 

Company Summary  
Swiftly is a customer digital platform that empowers retailers to grow sales and build loyalty, while enabling brands to reach more shoppers through retail media networks. Swiftly’s technology harnesses the power of AI to help retailers build strong digital relationships with customers and deliver amazing sales results. 
 
Swiftly-powered Retail Media Networks enable America's leading brands to influence consumers across their shopping journey and provide the closed loop reporting that drives high-performing advertising campaigns. 
 
Headquartered in Seattle, Washington, Swiftly is building the future of retail technology. 

Responsibilities Include

    • Taking customer data and processing it via Python and Spark in a Databricks environment using SQL in combination  
    • Creating and Maintaining Azure Data Factory pipelines to ingest data and run Databricks  
    • Researching relevant data questions from internal teams as well as for customers when applicable  
    • Working with Data Analysts to answer data questions and offload repeatable processes  
    • Validating data processes and results  
    • Performance tuning of data processing and access  
    • Creating dashboards & alerts for internal process and data monitoring  
    • Other related duties as assigned

Required Qualifications 

    • 5+ years of industry experience architecting, coding, verifying and operating large-scale data pipelines and architectures  
    • B.S. in Mathematics, Statistics, Computer Science, Computer Engineering, or a related field  
    • Demonstrated ability to work collaboratively in an ambiguous, fast-paced environment  
    • Experience with SQL, NoSQL, Document DB, Key-Value, Columnar and blob data storage patterns  
    • History working with multiple vendor solutions for repository patterns and the ability to quickly identify the right solution for a given data architecture and workload  
    • Proven ability to collaborate with client and service engineering teams to ensure the best possible data architecture  
    • Operational experience working with large scale data warehouses and/or data lakes  

Preferred Qualifications 

    • Mix of startup and large software company experience  
    • Industry experience in ad campaign data analysis and reporting  
    • Understanding of data science and have experience building data pipelines to support data scientists  
    • Professional experience with Apache Spark, DataBricks, or similar distributed analysis systems  
    • Experience with ad-hoc analysis and data visualization platforms including Excel, PowerBi, and Tableau  
    • Familiarity with Python, SQL and other common data engineering scripting languages  
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Working For Swiftly
We are working on a set of problems that require the best in the industry to get right. Our employees are the pillars of the future of the company and they are treated and compensated as such. We're a growing team of experienced industry professionals building an organization that can solve tough problems and values a collaborative environment. 

Every Swiftly employee: 
-Has demonstrated the ability to work collaboratively in an ambiguous, fast-paced environment 
-Takes ownership of their domain from the ground up, from inception through deployment to customers 
-Leaves their ego at the door and ensures the best idea leaves the room 
-Is always experimenting with new technologies and learning new skillsets 

If you've ever wanted to work on a project that blends a gorgeous consumer experience, sophisticated logistics, and scale that rivals the largest technology players, Swiftly is the place for you. 

Equal Opportunity Employer 
Swiftly is an Equal Employment Opportunity and Affirmative Action Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.  
Swiftly will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Reasonable accommodations are available for qualified individuals with disabilities throughout the subsequent application process. 
This job is no longer open
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