Senior Data Analyst: AI‑Driven Data Warehousing & BI

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

Benefits offered by this job

Health perks (HSA / FSA)

401(k) with company match

ESPP

Career opportunities

Job summary

EchoStar Corporation seeks a data engineering professional to design and optimize ETL pipelines and data warehouses across cloud platforms. You will work with SQL, Python, Airflow, Snowflake, and Redshift to ensure reliable analytics and reporting for enterprise initiatives.

The role emphasizes collaboration with analysts and engineers, performance tuning, and evaluating AI tools to continuously improve data workflows, in a fast-paced, inclusive environment.

Qualifications

• Bachelor's degree in Data Science, Computer Science, or a closely related quantitative field.
• Strong skills in designing, optimizing, and modernizing data architectures within an Enterprise Data Management Environment.
• Competency in building scalable ETL processes, data ingestion systems, and streaming applications via AWS, Snowflake, and Redshift.
• Advanced proficiency in SQL optimization, Python automation, and Linux/Unix shell scripting for robust data pipeline maintenance.
• AI Literacy and AI Application skills to proactively evaluate and integrate emerging AI tools into existing warehouse workflows.
• Critical thinking and collaborative problem-solving abilities to resolve complex IT issues and deliver sound data insights across cross-functional teams.

Responsibilities

• Design ETL processes, data ingestion mechanisms, and streaming applications utilizing cloud services, SQL, Python, Snowflake, and AWS Redshift
• Integrate data extracts, loads, and reports seamlessly with business intelligence and analytical applications
• Maintain core data pipelines while evaluating and resolving critical production issues to ensure minimal downtime
• Collaborate closely with analysts and engineers by leveraging modern orchestration and ETL tools like Airflow and Databricks
• Optimize complex SQL queries to maximize system performance and manage the underlying cloud infrastructure effectively
• Explore and evaluate new technologies with AI tools to continuously improve upon existing Data Warehouse processes

Skills

SQL optimization

Python automation

Linux/Unix scripting

Airflow

AI literacy

Data analysis

Education

Bachelor's degree

Master's degree

Tools

AWS

Snowflake

Redshift

Airflow

Control-M

Job description

EchoStar Corporation seeks a data engineering professional to design and optimize ETL pipelines and data warehouses across cloud platforms. You will work with SQL, Python, Airflow, Snowflake, and Redshift to ensure reliable analytics and reporting for enterprise initiatives.

The role emphasizes collaboration with analysts and engineers, performance tuning, and evaluating AI tools to continuously improve data workflows, in a fast-paced, inclusive environment.