> Markdown version of [/jobs/ext/2147420-sr-data-engineer](https://www.wearedevelopers.com/jobs/ext/2147420-sr-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Engineer - **Company:** Hertz Global Holdings, Inc. - **Location:** Madison, WI, United States - **Experience:** Expert - **Salary:** $130,000.0 - **Contract:** Franchise - **Skills:** Java (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Information Systems, Computer Programming, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Decision Support Systems, Document-Oriented Databases, Python (Programming Language), Machine Learning, Scrum Methodology, DataOps, Scala (Programming Language), Data Streaming, Enterprise Data Management, Data Ingestion, Data Lakes, Pyspark, Information Technology, Apache Kafka, Video Streaming, Stream Processing, Data Pipelines, Databricks - **Published:** August 20, 2026 - **Apply:** https://dejobs.org/x/x/412826BA96934F74BD97F0CEE8FF5DA4/job/ ## About the Role * 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. ## Description The Senior Data Engineer will be responsible for designing, building, and maintaining 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., * 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)