Sr/Staff Data Engineer

About the role

The Sr/Staff Data Engineer will play a key role in building the next generation of data capabilities that power large-scale, real-time decision-making. This position focuses on designing scalable data platforms, streaming solutions, and reliable pipelines that transform complex data into valuable business insights.

Responsibilities

• Design and implement scalable data streaming solutions to process and analyze real-time data efficiently.
• Develop and maintain robust batch and real-time data pipelines, including data extraction, transformation, orchestration, and ETL processes.
• Build and manage large-scale data warehouses, datamarts, and certified datasets to support analytics and business intelligence needs.
• Integrate data from multiple sources while ensuring accuracy, consistency, reliability, and accessibility.
• Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver effective data solutions.
• Optimize data workflows, monitor pipeline performance, troubleshoot issues, and ensure reliable data delivery.
• Apply security, governance, and compliance standards across data engineering solutions.
• Design, develop, test, deploy, and monitor production-ready data platforms and applications.
• Write efficient, maintainable, and well-documented code with appropriate testing practices.
• Participate in operational support activities, including troubleshooting production issues and contributing to a 24/7 on-call rotation.

Requirements

• Minimum 6 years of experience in software engineering, data engineering, database management, or a related technical field.
• Strong programming experience with languages such as Python, SQL, and Java.
• Deep understanding of data warehousing concepts, including dimensional modeling and star schema design.
• Experience developing ETL processes and working with cloud-based data solutions.
• Familiarity with database technologies, including SQL, NoSQL, and modern lakehouse platforms such as Apache Iceberg, Delta Lake, or Apache Trino.
• Experience with data streaming technologies such as Apache Kafka, AWS Kinesis, Apache Flink, or Apache Spark.
• Hands-on experience with data pipelines, orchestration tools, datamart development, and certified datasets.
• Knowledge of DevSecOps practices, source control systems, and tools such as Jenkins and GitHub.
• Strong analytical, troubleshooting, and problem-solving skills with attention to detail.
• Able to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Able to adapt quickly, learn new technologies, and thrive in a continuously evolving environment.
• Bachelor’s degree or higher in Computer Science, Information Technology, or a related field preferred.
• Experience with cloud platforms, Agile methodologies, open-source technologies, Jupyter, or geospatial data processing is a plus.
• Experience in transportation, logistics, supply chain, aviation, shipping, or other high-tech industries is preferred.

Benefits

• Competitive salary range of $165,000 - $300,000 depending on level, experience, skills, and location.
• Anual bonus eligibility through an incentive compensation program.
• Fully remote work opportunity available across the contiguous United States.
• Travel support for occasional business meetings, including visits to headquarters.
• Comprehensive medical, dental, and vision coverage for employees and dependents.
• Telemedicine, mental health support, cancer care resources, and access to quality healthcare networks.
• Health Savings Account (HSA) options with employer contributions.
• Employer-paid life insurance and disability coverage.
• Industry-leading 401(k) plan and railroad retirement benefits.
• Family support benefits, including parental leave, adoption and surrogacy reimbursement, and dependent care assistance.
• Generous paid time off and leave policies.
• Wellness benefits, including gym discounts, counseling services, and employee support programs.
• Opportunities for professional growth, continuous learning, and career development.