Sr Data Engineer

About the role

A Senior Data Engineer will design, build, and maintain scalable data pipelines and workflows that support analytics, business intelligence, machine learning, and software products. This role partners closely with Data Scientists, Engineers, Analysts, Developers, and business stakeholders to deliver trusted, high-quality data solutions that drive operational efficiency and data-driven decision making. As part of a 12-person Data Engineering team, this individual will help build and maintain a single source of truth for enterprise data, focusing on the engineering side of the platform and developing optimized Silver and Gold layer data assets for reporting, analytics, and downstream business applications.

Anticipated hiring rate starts at $130,000. Actual base salary will be determined based on work location, relevant experience, skills, and qualifications. Visa sponsorship is not available for this role.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and data workflows.
• Develop and optimize Silver and Gold layer datasets within a modern data lake architecture.
• Build data integrations supporting analytics, reporting, machine learning, and operational use cases.
• Perform data ingestion, cleansing, transformation, migration, and validation activities.
• Develop automated workflows to improve operational efficiency and data reliability.
• Ensure data quality, integrity, and performance across enterprise data platforms.
• Support batch and streaming data processing initiatives.
• Design, implement, test, and document data pipelines and integrations.
• Identify opportunities to simplify, automate, and modernize existing data processes.
• Partner with cross-functional teams to deliver trusted, curated datasets for business consumption.
• Mentor junior engineers and promote data engineering best practices.

Requirements

• Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
• 8+ years of hands-on Data Engineering or ETL development experience.
• 2+ years of experience working with Data Lakes in a cloud environment.
• Strong experience building and supporting enterprise-scale ETL/ELT solutions.
• Hands-on experience with Databricks and/or PySpark.
• Experience developing and optimizing data pipelines within modern lakehouse architectures.
• Experience with ETL tools such as Informatica.
• Experience with event-driven and streaming technologies such as Kafka or Amazon Kinesis.
• Strong programming skills in Python, Scala, Java, or similar languages.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience with Azure and/or AWS cloud platforms.
• Experience supporting Medallion Architecture, including Silver and Gold layers.
• Experience improving data quality, governance, and operational efficiency.
• Experience building streaming and real-time data processing solutions.
• Agile/Scrum experience.

About Us

The Hertz Corporation operates the Hertz, Dollar Car Rental, and 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. Hertz 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.

Pay

Anticipated hiring rate starts at $130,000. Actual base salary will be determined based on work location, relevant experience, skills, and qualifications.