Data Engineer II: AI Pipelines & Observability

EchoStar Corporation; Littleton, Northern (CO, KY); Hybrid; USD 83,000 - 119,000; Full time

Benefits offered by this job

Flexible spending accounts

HSA

401(k) match

ESPP

Career opportunities

Flexible time away

Job summary

EchoStar Corporation in Littleton, CO seeks a data engineer to design and operate scalable data pipelines for analytics and AI initiatives. You will optimize cloud infrastructure, implement observability, and collaborate with cross-functional teams to align data structures with business goals.

The role requires Python and SQL expertise, experience with Databricks and Snowflake, and a track record of delivering production-grade data solutions.

Qualifications

• Bachelor’s degree in CS or related field required.
• Minimum 2 years in data engineering.
• Experience with Databricks/Spark optimization and Delta Lake.
• Experience with Snowflake data modeling and optimization.
• Proficiency in Python and SQL for data manipulation.

Responsibilities

• Develop production-grade data pipelines in cloud environments.
• Improve data processing workflows and optimize tool stacks.
• Build AI agents to support business operations and LLM workflows.
• Integrate AI/LLM capabilities into enterprise data pipelines.
• Establish data observability, governance, and lineage across pipelines.
• Collaborate with cross-functional teams to align data structures with business goals.

Skills

Python

SQL

Databricks

Snowflake

CI/CD

Git

LLM

Data pipelines

Education

Bachelor's Degree in Computer Science or related field

Master’s degree in CS / Data Engineering / AI

Tools

Databricks

Snowflake

Python

SQL

Job description

EchoStar Corporation in Littleton, CO seeks a data engineer to design and operate scalable data pipelines for analytics and AI initiatives. You will optimize cloud infrastructure, implement observability, and collaborate with cross-functional teams to align data structures with business goals.

The role requires Python and SQL expertise, experience with Databricks and Snowflake, and a track record of delivering production-grade data solutions.