Sr. Data Engineer

Overview

The Senior Data Engineer will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SMEs 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.

A Day In The Life:
This role has an impact on our data analytics and fleet management.

• Building, maintaining, optimizing, and automating scalable data pipelines using PySpark and Databricks across cloud and on-premise infrastructure.
• Data acquisition, ingestion, cleansing, transformation, and migration.
• Design, implement, and test data integrations and ETL processes using Databricks workflows, Spark SQL and PySpark, with detailed technical documentation.
• Improve data integrity and quality by implementing Delta Lake, Databricks notebooks, and PySpark-based validation frameworks to streamline existing processes.
• Identify trends in datasets and develop workflows and help with streaming analytics to leverage raw data flows.
• Identify opportunities for data acquisition from internal and external sources.
• Curate rich datasets and prepare data for predictive and prescriptive modeling using Databricks, PySpark, and feature engineering best practices.
• Strive for engineering excellence by simplifying, optimizing, and automating processes and workflows.
• Build and maintain stakeholder-facing reporting solutions and dashboards using Tableau, enabling business users to monitor key metrics and make data-driven decisions.
• Ensure data sets are thoroughly tested before release to production environments.
• Mentor junior level data engineers and data analysts in best practices for data preparation and modeling.

• A bachelor’s degree or higher in Computer Science or related field, or equivalent experience; master’s degree preferred.
• Minimum of 8 years’ hands-on experience in data engineering or ETL development.
• Minimum 2 years of intensive experience with data lakes, preferably on AWS.
• Strong problem solving and critical thinking skills with a proven record of diagnosing problems and solving complex issues with simple, logical solutions.
• Outstanding verbal, written, presentation, facilitation, and interaction skills, including the ability to communicate technical and non-technical issues to multiple organizational levels.

• Strong expertise with modern data lake tools such as Databricks or PySpark.
• Experience with ETL tools such as Informatica.
• Experience with event-driven architectures and data streaming pub/sub technologies such as Kafka and Amazon Kinesis.
• Strong capabilities in languages such as Python, R, Scala or Java.
• Agile/Scrum experience.

This position starts at $120K, commensurate with experience.

• 40% off 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.

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.