Remote Catalog Analyst Jobs in Reno, NV (NOW HIRING)

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

What You Bring

Required

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

Databricks Data Engineer Certification

Why You'll Love Working Here

You'll join a high-performing team that's investing heavily in cloud, data, and AI. We empower our engineers with modern tools, continuous learning, and opportunities to influence technology strategy while solving meaningful business challenges.

Work environment/physical demands summary:

This job operates in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office with an open seating floor plan. The employee may encounter frequent interruptions throughout the work day. The employee is regularly required to sit, talk, or hear.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.

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Benefits

For more information about our benefit offerings, please visit our careers page at https://www.echo.com/company/careers.

This role is eligible for a bonus that is based on a combination of personal and business performance.