Self Healing Pipelines Data Jobs

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Agentic Data Engineer II

EchoStar Littleton, CO

Littleton, CO

Today

$83k - $119k/yr Full time Artificial Intelligence Big Data Bigdata

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Job Description

EchoStar is tackling the realities of scaling data infrastructure for modern analytics and emerging AI initiatives. In this onsite role in Littleton, CO, you will design and deliver production-grade data pipelines and workflows that support machine learning and large language model (LLM) consumption, with a focus on reliability, observability, governance, and cost-effective operations.

As an Agentic Data Engineer II, you will build pipelines for LLM feature stores and AI application workflows, including automated monitoring and self-healing mechanisms. Your work will also help structure complex datasets into semantic layers for low-latency access by downstream AI systems and analytical queries.

Responsibilities

Implement scalable data pipeline designs that optimize current infrastructure performance and improve resource utilization
Use cost-effective engineering practices to prioritize work that improves operational efficiency and data deliverability
Build and maintain reliable pipelines for LLM feature stores and AI application workflows
Develop automated monitoring and self-healing mechanisms to detect workflow failures and trigger corrective actions
Integrate observability tools to track data freshness, lineage, and baseline performance metrics across production environments
Structure complex datasets into standard semantic layers to enable low-latency access for downstream AI systems and analytical queries
Participate in at least one in-person interview

Requirements

Practical experience developing and deploying production-grade data pipelines within cloud environments
Ability to evaluate technical stacks and optimize existing data processing workflows before introducing new tools
Ability to build new AI Agents to support business operations
Applied AI skills, specifically integrating large language models and vector datasets into enterprise data pipelines
Strong proficiency in Python and SQL for data transformation, scripting, and API integration
Solid skills in Git version control, containerization tools, and CI/CD deployment pipelines
Proven troubleshooting abilities for diagnosing system bottlenecks and resolving issues within distributed data platforms
2 years of experience in data engineering
Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a closely related technical field
Bachelor’s degree in Computer Science or a related technical field
At least 1 year of experience with Databricks, including Spark optimization and Delta Lake architecture
At least 1 year of experience with Snowflake, including building and optimizing relational data models
At least 1 year of experience with Python and SQL for data manipulation
Visa sponsorship not available for this position

Technologies

Python, SQL
Git, CI/CD
Databricks, Spark, Delta Lake (including Delta Lake architecture)
Snowflake
LLM, vector datasets
Containerization tools

Benefits

Flexible spending accounts
HSA
A 401(k) Plan with company match
ESPP
Career opportunities
Flexible time away plan
The base pay range shown is a guideline. Individual total compensation will vary based on qualifications, skill level, and competencies. Compensation is based on the role’s location and is subject to change based on work location.

Salary Range: USD $83,160 - $118,800 per year

Location: Littleton, CO (onsite)

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