Sr. Data Engineer (Hybrid)

Company Description

EBG is an e-commerce solutions provider specializing in travel and entertainment, and also offering retail products and services, voluntary benefits and insurance. 

EBG powers a robust portfolio of technology solutions and operates a network of employer and membership-based platforms reaching a captive audience, providing leading brands with incremental distribution opportunities. EBG's expanded network reaches over 100 million users from participating companies and closed loop affinity and membership groups. 

EBG owns and operates one of the largest and most comprehensive employee savings programs in the country — serving over 40,000 corporate clients through its proprietary platforms TicketsatWork, Plum Benefits, Working Advantage and Beneplace. 

EBG is a b2b2c company headquartered in Miami (Aventura), with offices in New York, Orlando, Austin and Las Vegas.

Job Description

As a Senior Data Engineer, you will be responsible for overseeing the data engineering activities, including but not limited to building the business’ data collection systems and processing pipelines, building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting by the Data Science and Analytics departments.

You will be involved in various phases of data science initiatives, starting from data acquisition, data collection, building and configuring the data connectors to funnel data from various heterogenous sub-systems to the corporate’s data warehouse, data cleansing and merging, creating and maintaining the dimensional models on the data warehouse, creating and maintaining necessary database constructs (such as views, functions, stored procedures), providing the necessary pipelines to feed the corporate’s visualization tools.

As as Senior Data Engineer, you will work closely with the data science leadership as well as other data and analytics teams in leveraging data with reporting and scientific tools, for instance, Tableau, Python, SnowFlake, among other tools and technologies. You will strive to continuously develop new and improved data engineering capabilities.

• Maintain and build on top of our data warehouse and analytics environment, the home for almost all of the data.
• Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines in support of data and analytics projects, including integrating new sources of data into our central data warehouse, and moving data out to applications and affiliates.
• Build reports and data visualizations, using data from the data warehouse and other sources.
• Produce scalable, replicable code and engineering solutions that help automate repetitive data management tasks.
• Perform one-off data manipulation/munging and analysis on a wide variety of data.
• Implement and monitor best in class security measures in our data warehouse and analytics environment, with an eye towards the evolving threat landscape.
• Help troubleshoot other data engineers’ SQL, Python, or R code.
• Other duties as assigned.

Qualifications

• BS in related field or equivalent work experience (MS is preferred for this role).
• Strong command of relational databases and SQL. Extract, Transform, and Load (ETL) data into a relational database.
• Proficiency with Python or R, especially for data manipulation and analysis, and ability to build, maintain and deploy sequences of automated processes with these tools.
• General data manipulation skills: read in data, process and clean it, transform and recode it, merge different data sets together, reformat data between wide and long, etc.
• Demonstrated ability to learn new techniques and troubleshoot code without support, ex. find answers to common programming challenges on Google. In other words, be able to learn on the job.
• Demonstrated ability to write clear code that is well-documented and stored in a version control system (we use Git).
• Demonstrated ability to work independently and be a self-starter.
• Excellent listening, interpersonal, communication and problem solving skills.
• Demonstrated ability to work effectively in teams, in both a lead and support role.
• Use APIs to push and pull data from various data systems and platforms.
• Experience working with cloud infrastructure services like Amazon Web Services and Google Cloud is preferred but not required.
• Effective time management skills, including demonstrated ability to manage and prioritize multiple tasks and projects.
• Experience with advanced data visualization and mapping are required.
• Experience with SnowFlake is a big plus but not required.
• Excellent Communication skills with an ability to communicate with technical and non-technical colleagues
• Flexibility to work in a dynamic environment
• Ability to work under pressure
• Motivated and willing to take initiative

Additional Information

EBG offers outstanding employee benefits including:

• Medical, Dental & Vision
• 401k Match
• Short Term Disability, Long Term Disability (Company Paid)
• Company Paid Basic Life and AD&D
• Additional Voluntary Benefits 
• Flexible Work Arrangements
• 3 Weeks of PTO + 5 Personal Days
• Paid Holiday Break from Christmas to New Year
• Paid Holidays
• Fitness Centers (location dependent)
• Annual Day of Giving
• Share in the FUN! EBG gives $1000 per year in Tickets-At-Work gift cards to full-time employees to experience and enjoy the savings marketplace!
• Most benefits begin the first of the month after your start date

The statements contained herein reflect general details as necessary to describe the principal functions of this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements.