Overview

Enterprise Holdings is the world’s largest car rental operator and an industry leader in mobility and technology. We’re one of the top global travel companies, ranking ahead of many airlines and most cruise lines and hotels. And no matter what transportation challenges our customers face, we have an innovative solution.

 We operate the Enterprise Rent-A-Car National Car Rental and Alamo Rent A Car brands via more than 9,500 fully staffed neighborhood and airport offices, including franchisee branches, in nearly 100 countries and territories.

 Through this robust global network, we operate a fleet of nearly 1.7 million vehicles and provide a comprehensive portfolio of transportation solutions, including car rental, carsharing, vanpooling, car sales, truck rental, vehicle-subscription and affiliated fleet management services. As a total mobility provider, we serve the needs of a wide variety of customers, businesses, government agencies and organizations every day.

 At the center of it all, our dedicated IT teams innovate, design and develop the technology that is redefining how customers rent, buy and share vehicles from our family of brands. Here, you will be part of a diverse and talented team that creates and delivers powerful technology solutions for our customers and employees across the world with the resources and support to develop in a variety of career paths.

 As you are considering a position with Enterprise Holdings, we invite you to learn more about our business. Today – and every day – the safety and wellbeing of employees, customers and the communities we serve is our top priority. For the latest on our COVID-19 response, please click here.

 As an Enterprise employee, we offer an excellent package with market-competitive pay, comprehensive healthcare packages, 401k matching & profit sharing, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential.

 This position is open to candidates who wish to work from home (WFH). Employees who choose virtual / remote work should have an adequate space to serve as their home office.  #LI-REMOTE

 Responsibilities

As a Senior Data Engineer (Engineer 2) you will be responsible for using your technical knowledge to solve business problems. We are looking for a talented individual that can serve as a subject matter expert in their area of focus and represent their department on complex assignments. You will be responsible for evaluating elements of technologies effectiveness through requirements gathering, testing, research and investigation and make recommendations for improvements that result in increased quality and effectiveness. You will be required to listen to and evaluate customer needs to determine and provide high quality solutions that align with customer expectations. 

In this role on the Cloud Data Engineering team you will be a part of a team responsible for migrating existing data platform solutions to the cloud. You will also collaborate with others to develop new data pipelines. As a data engineer in the Cloud Data Engineering team you will need to work in a data first mindset. You will use Microsoft Azure Cloud PaaS technologies to engineer our data solutions in a way that allows for us to optimize our information, make better decisions and meet our customer’s needs. If you have a passion for engineering, working with massive amounts of data and empowering smart business decisions, this is the role for you.

Equal Opportunity Employer/Disability/Veterans

Qualifications

Required:

Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future

Must be committed to incorporating security into all decisions and daily job responsibilities

3+ or more years of related experience

Must have professional development experience in one of the following languages: Scala, Java, or C#

Experience with some Microsoft Azure platform technologies like Databricks/Spark applications, Event Hub, Data Factory, Synapse Analytics, Azure Functions (Scala), Cosmos DB, or DevOps

Professional data engineering experience working with large datasets and complex data environments, processes, and associated solutions

Experience making enhancements or building new data pipelines on an already existing data platform

Experience working with Apache Spark

Experience with scripting languages such as Bash Shell, Python, or PowerShell

Basic understanding to streaming data, unstructured and structured data ingestion, and other real-time data acquisition methodologies

Experience with Azure SQL and/or Synapse

Experience writing and tuning complex SQLs, and the ability to analyze and make recommendations on results

Must have good oral and written communication skills to effectively communicate with various IT teams and business representatives

Must have good troubleshooting and problem-solving skills 

Must be able to work in a fast-paced, collaborative, team-oriented environment 

Must have experience in full lifecycle development and end-to-end testing 

Experience with configuration management and build automation capabilities such as Git/Jenkins

Preferred: 

Bachelor's degree in Computer Science, Computer Information Systems, Management Information Systems, or related field preferred

Experience with Big Data solutions

Experience with Azure, AWS, or other Public Cloud environments 

Experience with Microsoft Azure platform technologies including: Databricks/Spark applications, Event Hub, Data Factory, Synapse Analytics, Azure Functions (Scala), Cosmos DB, and DevOps

Bachelor's degree in Computer Science, Computer Information Systems, Management Information Systems, or related field preferred

Experience with functional programming and functional programming design patterns 

Knowledge and working experience with Agile methodologies

Knowledge of Teradata data warehousing and SAS business analytics technologies to support migration to Microsoft Azure cloud data platform