Sr. Data Engineer

Echo Global Logistics
Reno, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Reno, United States of America

Tech stack

API
Artificial Intelligence
Airflow
Data analysis
Azure
Software as a Service
Information Systems
Continuous Integration
Data Architecture
Information Engineering
Data Systems
Hive
Python
Operational Databases
Standard Sql
Azure
Enterprise Software Applications
Azure
Spark
GIT
Data Lake
PySpark
Information Technology
Machine Learning Operations
REST
Data Pipelines
Databricks

Job description

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.

What You'll Do

  • 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

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

Preferred

  • 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

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