The Big Data Engineer will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products within the Fleet realm. This individual will work closely with data scientists, data engineers, analysts, and SME’s within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. The starting salary for this role is $90K; commensurate with experience. **What you'll do:** + Building, maintaining, optimizing, and automating data pipelines in both cloud and on-premise infrastructure. + Data acquisition, data ingestion, data cleansing, data transformation, and data migration. + Design, implement, and test data integrations and ETL processes and provide detailed documentation. + Improving data integrity and quality and implementing modern solutions and frameworks to streamline existing processes. + Identify trends in datasets and develop workflows and help with streaming analytics to take advantage of raw data flows. + Identify opportunities for data acquisition from internal and external sources. + Curate rich datasets and prepare data for predictive and prescriptive modeling. + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. + Ensures data sets are thoroughly tested before release to production environments. **What we're looking for:** + A bachelor's degree or higher in Computer Science, Information Systems, Information Technology or related field. + Minimum of 5 years hands-on experience in a data engineering role. + Minimum 2 years of intensive experience with cloud-based Big Data, BI, and Analytics technologies, preferably AWS. + Strong expertise with Big Data tools and related technologies such as Databricks/Spark/PySpark, Airflow, Glue, Athena, etc. and ETL tools such as Informatica or Stream Sets. + Experience with event driven architectures and data streaming pub/sub technologies such as Kafka and Amazon Kinesis. + Strong capabilities in scripting languages such as Python, R, Scala, etc. + Experience with Data Virtualization tools such as Denodo or Dremio. + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. **What You’ll Get:** + Up to 40% off the base rate of any standard Hertz Rental   + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching. + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts –Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture – and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran