Enova is currently accepting candidates for remote positions in the following eligible states: AL, AK, AR, AZ, CT, GA, IA, ID, IL, IN, KY, LA, MA, ME, MD, MI, MN, MO, MS, NC, ND, NE, NH, NV, NJ, NM, OH, OK, OR, PA, RI, SC, SD, TN, UT, VT, WI, WV, WY.

About the role:

The Data Services Team effectively and sustainably builds data strategy and provides data solutions and tools across the organization. We integrate, transform, and improve volumes of data at the project or enterprise level for streamlined processes, greater efficiencies, and smarter, more informed decision-making. This team is high-energy, dynamic and in a business-critical domain space. This role is an opportunity to make a real difference in the data space, and we need confident, experienced people eager to bring in solutions, with a demonstrated ability to learn fast and make that happen.

What you'll be doing:

• Support the data needs of Software Engineering, Strategy, Product, Compliance, Operations, Technology and Analytics teams
• Opportunity to lead technical initiatives by architecting the solution and collaborating with team members and peers to execute the solution
• Architect, design, implement and maintaining multi-layered SQL and Python processes
• Enhance the tooling and Python Frameworks to support complex Extract Transform Load (ETL) and/or Extract Load Transform (ELT) processes
• Act diligently to respond to urgent projects and tasks
• Troubleshooting discrepancies in existing databases, data pipelines, warehouses, and reporting
• Collaborating with principals, peers, leadership, and the business
• Work as a “full stack” Data Engineer contributing to each phase of the SDLC, building a new pipeline between two data sources or working with the business to design and develop a new dashboard
• Advise on Best Practices and innovative designs/solutions 
• Perform other functions as assigned by management to support the operation of the business

We're excited about you if you have:

• A Bachelor’s degree or Masters in Computer Science, Engineering, or equivalent experience.
• 1-3 years of previous experience in data engineering with a focus on database related technologies
• 1 years of hands-on experience working with Python
• Hands-on experience of SQL and database related technologies, particularly PostgreSQL.
• 2 years of experience working with Cloud Data Warehouse Technologies such as Snowflake or Redshift.
• 1 years of experience working with AWS RDS, Aurora, Lambda, S3, Apache Kafka is desirable.
• Deep understanding of relational database modeling principles and techniques.
• Deep understanding of object oriented programming methodologies and design patterns.
• Exposure to architecting, designing, and implementing ETL or ELT solutions with peers and stakeholders.
• Experience with ANSI SQL, SQL Server, Talend, Jenkins, GIT, Pentaho, JavaScript, bash/Linux, various non-relational / NoSQL database management systems.
• Exposure to Agile methodologies.
• Ability to work off-hours as needed

About Data Services:

We live and breathe data at Enova, and without our Data Services or Business Intelligence team, it would be difficult to make sense of the 45 TB (and growing) of on-prem and Cloud-based data we have. Our team members are problem-solvers and action-oriented thinkers who focus on collecting, analyzing, and presenting data to gain insight and value for the company. The team’s top priority is to help the company get even better by leveraging and transforming data to achieve innovative results. 

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