Role Overview
Join Tekion in building the next generation of data intelligence capabilities for the automotive industry. This role goes beyond traditional data engineering and offers the opportunity to shape the enterprise data foundation that powers analytical products, operational insights, and emerging AI-driven experiences across the platform.
What You Will Do
Design and evolve a multi-tenant, cloud-scale data platform that serves thousands of dealerships and business users while maintaining strong tenant isolation, governance, and data quality standards. Drive the evolution from batch-oriented data processing to near real-time and real-time data ingestion architectures, enabling faster decision-making and unlocking new AI and machine learning use cases across the business.
Why It Might Be a Fit
This role offers the opportunity to make a lasting impact, build large-scale data platforms, solve complex multi-tenant data challenges, and create the data foundation that powers the future of analytics and AI.
Requirements
- 6+ years of experience in Data Engineering
- Strong expertise in Python, SQL, and Apache Spark
- Experience building scalable batch and real-time ETL/ELT pipelines
- Hands-on experience with AWS services including EMR, S3, Glue, and Athena
- Experience with Kafka, Flink, or Kinesis for streaming data processing
- Strong knowledge of dimensional modeling, Data Vault, and data warehousing concepts
- Experience with Delta Lake, Apache Iceberg, or Apache Hudi
- Expertise in workflow orchestration using Airflow
- Experience implementing data quality frameworks and monitoring solutions
- Strong understanding of partitioning, schema evolution, and performance optimization
Benefits
- Competitive compensation
- Generous stock options
- Medical Insurance coverage
To apply for this job please visit job-boards.greenhouse.io.

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