Sr. Data Engineer
Echo Global Logistics•Reno, NV
•Remote
About The Position
This is an AI-first engineering role. We expect you to leverage AI tools to design, build, and deliver solutions - the value you bring is knowing what to build, how to solve problems, and how to validate results. As our Senior Data Engineer, you'll lead the design and development of scalable data pipelines and data products on our Azure-based platform, with Databricks at the core. You'll build trusted, production-grade data that powers analytics, operational intelligence, and AI initiatives across the business.
Requirements
- AI-first development mindset
- 5+ years of data engineering experience, including senior or lead responsibilities
- Expert Python and SQL skills
- Deep experience with Databricks, Apache Spark, and Pyspark
- Experience building production data pipelines
- Lakehouse architecture and Medallion modeling experience
- Data quality, testing, and monitoring expertise
- CI/CD and Git experience
- Experience with Azure Data Factory, Airflow, or similar orchestration tools
- REST API and enterprise system integrations
- Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent experience
- Strong communication and collaboration skills
Nice To Haves
- Azure Databricks
- Azure Data Factory
- Azure Data Lake Storage
- Delta Lake
- Apache Airflow
- Databricks Asset Bundles
- Databricks Apps
- MLflow, Mosaic AI, Unity Catalog
- Experience supporting AI/ML workloads
- Databricks Data Engineer Certification
Responsibilities
- Lead the design and development of scalable data pipelines in Databricks
- Build and optimize Lakehouse architecture using Medallion (Bronze/Silver/Gold) design
- Develop data solutions using Python, Pyspark, Spark SQL, and Delta Lake
- Integrate APIs, enterprise systems, SaaS platforms, and external data sources
- Establish data quality, testing, monitoring, and performance standards
- Mentor engineers and promote engineering best practices
- Drive CI/CD, automation, and AI-first development practices
- Partner with analytics engineers, data scientists, and application teams
- Evaluate new technologies through proof-of-concept projects
Benefits
- Eligible for a bonus that is based on a combination of personal and business performance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
