Data Engineering Internship Summer 2023 (Hybrid)
Chicago, IL
Enova’s hybrid work model allows employees to work in the office T, W, and TH with the option to work from home on Monday and Friday.
About the role:
As a Financial Data Intern, you’ll immerse yourself in the Analytics and Tech department and get a unique experience by working on real projects that impact our day-to-day business and production. We are problem-solvers, self-directors and action-oriented thinkers so you’ll be expected to hit the ground running and own your projects, with guidance from your manager and teammates. When you’re not performing your Data Engineering responsibilities you’ll be having fun, learning professional skills and networking with the rest of Enova.
What you'll be doing:
- Learn the technologies, strategies and ETL techniques we use here at Enova
- Develop, enhance and test our reporting pipelines to provide data to various departments across the company
- Conduct ad hoc investigation and analysis to support our stakeholders
- Work with senior management to develop key performance indicators (KPI's) to ensure that our products are performing optimally
- Present on your project findings and results to key executives and the department at the conclusion of your internship
We're excited about you if you have:
- You are pursuing your Bachelor’s or Master’s degree in Computer Science, Engineering or related field and have an expected graduation date between Winter 2023-Spring 2024.
- 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.
- Experience working with Cloud Data Warehouse Technologies such as Snowflake or Redshift.
- 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.
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.
About Enova:
Enova is a leading financial technology company providing online financial services through its AI and machine learning powered lending platform. Enova serves the needs of non-prime consumers and small businesses, who are frequently underserved by traditional banks. Enova has provided more than 7 million customers with over $40 billion in loans and financing with market leading products that provide a path for them to improve their financial health. Want to learn more? Just ask any of our almost 1,500 employees.
Our goal at Enova, we believe that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.
Tags: Agile AWS Business Intelligence Classification Computer Science Data warehouse ELT Engineering ETL Git JavaScript Kafka Lambda Linux Machine Learning NoSQL Pentaho Pipelines PostgreSQL Privacy Python RDBMS Redshift Snowflake SQL Talend
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