Self Healing Pipelines Engineer Jobs

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Today

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 addressing the growing complexity of scaling data infrastructure for modern analytics and emerging AI initiatives. In this on-site role in Littleton, CO, you will develop production-grade data pipelines and workflows built to support machine learning consumption and large language model (LLM) use cases, with emphasis on observability, governance, and cost-effective operations.

You will help engineering teams balance technical performance with practical business outcomes, building pipelines for LLM feature stores and AI application workflows while adding automated monitoring and self-healing mechanisms to reduce workflow failures and corrective overhead.

What You’ll Do

Implement scalable data pipeline designs that optimize existing 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 data pipelines tailored 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.

Minimum Requirements

Practical experience developing and deploying production-grade data pipelines within cloud environments.
Experience evaluating technical stacks and optimizing existing data processing workflows before introducing new tools.
Ability to build new AI Agents to support business operations.
Applied AI skills, including 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 capabilities for diagnosing system bottlenecks and resolving issues within distributed data platforms.
2+ years of experience in data engineering.
Education: Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a closely related technical field.
Bachelor’s Degree: Computer Science or related technical field.
No visa sponsorship available for this position.
At least 1 year experience with Databricks, including Spark optimization and Delta Lake architecture.
At least 1 year experience with Snowflake, including building and optimizing relational data models.
At least 1 year experience with Python and SQL for data manipulation.

Technologies

Python, SQL
Git, CI/CD
Databricks, Spark, Delta Lake, Delta Lake architecture
Snowflake
LLM, vector datasets
Git version control, containerization tools

Compensation and Location

Location: Littleton, CO (onsite)
Base pay range: USD 83,160 - 118,800 per year
The base pay range shown is a guideline; individual total compensation varies based on qualifications, skill level, and competencies, and is based on the role’s location and subject to change based on work location.
Salary range also listed as: USD $83,160.00 - $118,800.00 / Year

Benefits

Flexible spending accounts
HSA
A 401(k) Plan with company match
ESPP
Career opportunities
Flexible time away plan

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