As a Senior Data Engineer, you will be responsible for architecting, building, and maintaining scalable data infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams, including analysts, stakeholders, and software engineers, to design and implement data solutions that meet business requirements. Your expertise will be essential in ensuring data integrity, performance, and security while optimizing data processes for efficiency and scalability.

Responsibilities:

• Design, develop, and maintain data infrastructure, including data pipelines, ETL processes, and data warehouses, to support data-intensive applications, analytics, and business intelligence.
• Collaborate with stakeholders to gather data requirements and translate them into scalable data solutions.
• Identify, evaluate, and implement appropriate tools and technologies for data ingestion, storage, processing, and analysis.
• Ensure the reliability, availability, and performance of data platforms through monitoring, troubleshooting, and optimization.
• Develop and enforce data governance policies, including data quality standards, privacy, and security protocols.
• Lead and mentor junior data engineers, providing technical guidance and fostering a culture of continuous learning and improvement.
• Collaborate with cross-functional teams to understand data needs and design efficient data models, schemas, and data transformation processes.
• Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering and recommend enhancements to existing systems and processes.
• Participate in code reviews, perform unit testing, and maintain documentation to ensure code quality, maintainability, and knowledge sharing.
• Proactively identify and resolve performance bottlenecks, data issues, and technical challenges related to data processing and storage.

• Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus.
• Proven experience (5 years) as a Data Engineer or similar role, with a strong focus on building scalable data infrastructure.
• Strong proficiency in data modeling, data warehousing concepts, and SQL.
• Expertise in designing and implementing data pipelines, ETL processes, and workflow orchestration using tools such as Apache Airflow, AWS Glue or similar.
• Proficiency in programming languages such as Python, Java, or Scala for data processing and scripting.
• Solid understanding of distributed systems, cloud platforms (e.g., AWS, Azure, GCP), and big data technologies (e.g., Hadoop, Spark, Kafka).
• Experience with data integration and streaming technologies, such as AWS Kinesis Data Streams/Firehose, Apache Nifi, or similar.
• Strong knowledge of database technologies (e.g., SQL databases, NoSQL databases, columnar databases).
• Familiarity with containerization (e.g., Docker, Kubernetes) and infrastructure-as-code tools (e.g., Terraform) is a plus.
• Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, dynamic environment.

What RumbleOn Offers You:

A fun, relaxed, and casual work environment with awesome people by your side working as a team to ensure the entire group's success! Plus...

• Healthcare, Dental, & Vision Insurance (RumbleOn pays a generous portion of medical premium!)
• PTO Plan & Public Holidays Off
• Close knit, open, inviting environment where you can make your mark and where your ideas are heard!
• Employee discounts on purchases
• Extremely competitive compensation packages commensurate with experience and skillset
• Fully stocked kitchen with drinks and snacks all day
• Fun company events
• The opportunity for growth and a solid long term career...we promote from within!!
• Casual Dress code
• Training and full support while you learn
• And more…

*All applicants must pass pre-employment testing to include: background checks, MVR, and drug testing in order to qualify for employment*·