Senior Data Engineer
Role details
Job location
Tech stack
Job description
The Senior Data Engineer will play a critical role in supporting enterprise-wide cloud data initiatives, operational analytics, and modern reporting solutions within a fast-paced logistics environment. This individual will partner with internal stakeholders and external technical teams to build scalable data pipelines, optimize cloud-based analytics workflows, and support ongoing Databricks initiatives. The ideal candidate brings strong expertise in Databricks, SQL, Python, PySpark, and cloud-based ETL/ELT environments, along with a passion for solving complex operational data challenges., * Develop, maintain, and optimize scalable cloud-based data solutions within Databricks
- Build and support ETL/ELT workflows utilizing SQL, Python, PySpark, APIs, and modern data engineering practices
- Support enterprise analytics initiatives, operational reporting, and scalable data architecture across multiple business units
- Develop and optimize Spark workloads, transformations, and cloud-based data processing pipelines for performance and scalability
- Support integrations with APIs, operational systems, telematics platforms, and external data providers using structured and semi-structured datasets
- Create automation workflows, validation processes, and operational analytics solutions using Python and Databricks notebooks
Requirements
- Minimum 6+ years of experience in Data Engineering, Analytics Engineering, or related technical roles
- Strong hands-on experience with SQL, Python, Databricks, PySpark, and Spark-based processing
- Experience supporting cloud-based environments within AWS and Microsoft Azure
- Experience developing and maintaining modern ETL/ELT workflows and enterprise data pipelines
- Understanding of APIs, JSON data structures, and operational analytics environments
- Experience working with logistics, transportation, telematics, or operational datasets preferred
- Experience supporting hybrid cloud architectures, enterprise analytics environments, and large-scale integrations preferred
- Experience creating automation workflows, data validation processes, and scalable reporting solutions preferred
Benefits & conditions
- Competitive compensation package with performance-driven growth opportunities
- Collaborative and inclusive team environment focused on innovation and continuous improvement
- Opportunity to work on enterprise-scale cloud, analytics, AI, and automation initiatives
- Hybrid work environment with exposure to modern technologies including Databricks, AWS, Azure, and enterprise analytics platforms, This opportunity offers a competitive compensation salary up to $180k/yr along with comprehensive benefits, including medical, dental, and vision coverage, paid time off, and opportunities for professional growth and advancement. The organization fosters a collaborative and inclusive culture that values innovation, continuous learning, and long-term career development while providing exposure to enterprise-scale cloud, analytics, and automation initiatives.