This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr/Staff Data Engineer based in the United States.
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. You will work within a technology-driven environment where innovation, operational excellence, and collaboration are highly valued. The role offers the opportunity to influence modern data architecture, improve enterprise analytics, and support mission-critical operations at national scale. You will collaborate with engineers, analysts, and data scientists to deliver secure, high-performing data solutions. This is an opportunity to make a meaningful impact while advancing the future of data-driven transportation and mobility.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr/Staff Data Engineer based in the United States.
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. You will work within a technology-driven environment where innovation, operational excellence, and collaboration are highly valued. The role offers the opportunity to influence modern data architecture, improve enterprise analytics, and support mission-critical operations at national scale. You will collaborate with engineers, analysts, and data scientists to deliver secure, high-performing data solutions. This is an opportunity to make a meaningful impact while advancing the future of data-driven transportation and mobility.
Accountabilities:
- 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.
- Stay current with emerging technologies and industry trends in data engineering, analytics, and machine learning.
- 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.
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
- Ability 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.
- Competitive salary range of $165,000 - $300,000 depending on level, experience, skills, and location.
- Annual 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.
The Sr/Staff Data Engineer will be responsible for designing, developing, and optimizing enterprise-scale data solutions that support real-time analytics, reporting, and operational decision-making. This role requires strong technical expertise, ownership of complex engineering initiatives, and the ability to collaborate across technical and business teams.
Requirements:
The ideal candidate is an experienced data engineering professional with a strong background in building scalable data platforms, modern data architectures, and cloud-based solutions. Success in this role requires technical depth, problem-solving ability, and strong communication skills to collaborate effectively across engineering and business teams.