Sr Data Engineer
About Our ClientThe organization operates a global vehicle rental business, managing multiple well-known brands across approximately 9,700 corporate and franchise locations worldwide. It is one of the largest airport general-use vehicle rental companies, with an extensive presence across North America, Europe, the Caribbean, Latin America, Africa, the Middle East, Asia, Australia, and New Zealand.About the OpportunityThe Senior Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and workflows that support analytics, business intelligence, machine learning, and software products. This role delivers trusted, high-quality data solutions that improve operational efficiency and enable data-driven decision-making.The position focuses on developing and optimizing data assets within a modern data lake architecture while collaborating with data scientists, engineers, analysts, developers, and business stakeholders to deliver reliable, curated datasets.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.• Build data integrations supporting analytics, reporting, machine learning, and operational applications.• Perform data ingestion, cleansing, transformation, migration, and validation.• Automate workflows to improve efficiency, reliability, and data quality.• Ensure data integrity, performance, and availability across enterprise platforms.• Support batch and streaming data processing environments.• Design, implement, test, and document data pipelines and integrations.• Identify opportunities to simplify, automate, and modernize data processes.• Collaborate with cross-functional teams to deliver trusted, curated datasets.• Mentor junior engineers and promote data engineering best practices.Requirements• Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.• 8+ years of hands-on experience in data engineering or ETL development.• 2+ years of experience working with cloud-based data lakes.• Strong experience developing 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.Pay Range and Compensation Package• Anticipated hiring rate starts at $130,000 per year.• Actual base salary will be determined by location, experience, skills, qualifications, and other job-related factors.• Visa sponsorship is not available for this role.Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.