Data Engineer II - REMOTE

Data Engineer - REMOTE 

Product & Technology ·

Role is 100% REMOTE! You can work from anywhere within the US!! 

Varis is a well-funded and fast-growing technology startup. Our incredible team includes top industry leaders with decades of experience. We are innovation driven, customer centric, and ready to transform Business-to-Business (B2B) Procurement with insights gleaned from data. Our culture is focused on bold vision, launching the simplest (yet still valuable) initial solution to learn, then either failing or scaling fast. We seek teammates who drive value creation, are great problem solvers, have strong interpersonal savvy, and can successfully learn on the fly! Joining us now is a ground-floor opportunity to shape our limitless future. On our team you will: see and feel the direct impact of your work; be surrounded by passionate people; learn how to be an entrepreneur; and be at the center of a highly dynamic business model with tremendous individual and collective potential. 

The Data Engineer is accountable for implementing methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. 

 He/she must conduct the analysis of raw data, developing and maintain datasets, improving data quality and efficiency around the data pipeline.  
 
We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis to provide important insights to foster product and technical adoption within and outside of Varis. Overall, you’ll strive for efficiency by aligning data systems with business goals. 

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. 

If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you. 

Primary Responsibilities: 

1. Analyze and organize raw data 
2. Build data systems and pipelines
3. Evaluate business needs and objectives
4. Interpret trends and patterns
5. Conduct complex data analysis and report on results 
6. Prepare data for prescriptive and predictive modeling
7. Build algorithms and prototypes
8. Combine raw information from different sources
9. Explore ways to enhance data quality and reliability
10. Identify opportunities for data acquisition
11. Develop analytical tools and programs
12. Collaborate with data/research scientists and ontologists on several initiatives

Education & Experience 
 
Level of Formal Education:  Bachelor’s or Master’s degree or equivalent experience 
Area of Study:  Data Science and or Computer Science 
Years of Experience:  Minimum 2 -3 years’ experience in related field 

Type of Experience: 

• Modeling large data sets and data repositories
• Experience in eCommerce, B2B, Sourcing, or Procurement environment is a plus.

Language Skills: 

• Excellent verbal and written communication skills

 Technical Competencies: 

• Previous experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Knowledge of programming languages (e.g. Java and Python)
• Hands-on experience with database design (e.g., SQL, Key-Value, and Document based, etc.)
• Data engineering certification (e.g IBM Certified Data Engineer) is a plus

Skills and Ability: 

• Knowledge of planning, designing, and implementing a data pipelines, architecting and designing through scientific method the use of machine learning techniques, to ensure that the data science management best practices are planning, designed and implemented.
• Strong background in research and analysis, including the ability to evaluate source authority
• Solid problem solving and conceptual thinking abilities
• Great numerical and analytical skills
• Ability to work in a collaborative, fast-paced environment
• Comfortable in technical environments and eager to learn new systems as needed
• Ability to context switch between systems-level thinking and attention to minute details
• Time management skills, demonstrated success in handling multiple, sometimes conflicting priorities
• Capable of balancing quick decision-making with attention to quality and accuracy

Personal Attributes: 

• Interpersonal and leadership skills
• Executive level presence
• Maintains a positive attitude, high energy, and strong sense of urgency
• Ability to learn quickly and think creatively
• Resident expert on cutting-edge customer experience

Other/Preferred: 

• Knowledge of various eCommerce and Internet technologies

The above statements are intended to describe the general nature and level of work being performed by associates assigned to this classification and are not intended to be a complete list of all required responsibilities and skills. Other duties and special projects may be assigned per business needs. Job descriptions are subject to change at any time with or without notice. Varis is wholly owned by The ODP Corporation, which is the legal employer of Varis associates. ODP is an Equal Opportunity Employer.