Self Healing Pipelines Developer 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 building and scaling data infrastructure to support modern analytics and emerging AI initiatives. In this onsite role in Littleton, CO, you will develop production-grade data pipelines and workflows designed for machine learning and large language model (LLM) consumption, with an emphasis on observability, governance, and cost-aware operations.

You will also work on LLM feature store and AI application workflows, including automated monitoring and self-healing mechanisms to keep systems reliable in production.

What you’ll do

Design scalable data pipeline solutions 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
Create automated monitoring and self-healing mechanisms to detect workflow failures and trigger corrective actions
Integrate observability tooling to track data freshness, lineage, and baseline performance metrics across production environments
Model and 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

Required qualifications

Practical experience developing and deploying production-grade data pipelines within cloud environments
Experience evaluating technical stacks and optimizing existing data processing workflows before adding 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 with Git version control, containerization tools, and CI/CD deployment pipelines
Proven troubleshooting skills to diagnose bottlenecks and resolve issues in distributed data platforms
Education: Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or a closely related technical field
Education: Bachelor’s Degree in Computer Science or a related technical field
Experience: 2 years of experience in data engineering
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, Delta Lake architecture
Snowflake
LLM, vector datasets
Containerization tools

Compensation

Location: Littleton, CO (onsite)
Salary range: USD 83,160 - 118,800 per year
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.

Benefits

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

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