Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview.

The Enterprise Data Management Environment requires modernization and design optimization to support evolving business initiatives. Fragmented data ingestion applications and complex production pipelines demand scalable, high-performance architecture to ensure reliable analytical outputs. This role addresses these challenges by developing advanced ETL processes, optimizing cloud infrastructure, and evaluating emerging AI tools to continuously improve warehouse workflows.

What Success Looks Like (Objectives):

• 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, Experience and Requirements

Core Skills and Competencies (What you'll bring):

• 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

Additional Qualifications:

• Experience working within Agile teams to deliver rapid, high-quality data solutions
• Possession of a Master's degree in Data Science, Computer Science, or a closely related quantitative field

Minimum Requirements:

• Minimum Education: Bachelor's degree in Data Science, Computer Science, or a related field
• Minimum Experience: 3 years of experience in data warehouse related teams
• Required Technical Skills: Must have at least 1 year of experience with:
• SQL
• Airflow or Control-M orchestration tools
• RDBMS and modern Data Warehousing concepts

Visa sponsorship not available for this role

Salary Ranges

Compensation: $83,160.00/Year - $118,800.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.