Partner closely with operational and analytics teams to translate business needs into effective data solutions
Architect and implement ETL workflows leveraging CapitalRx platforms and technologies such as Python, dbt, SQLAlchemy, Terraform, Airflow, Snowflake, and Redshift
Conduct testing to ensure the flawless execution of data pipelines before production deployment
Proactively identify and resolve data-related issues, ensuring system reliability and data integrity
Provide ongoing maintenance and support for data infrastructure
Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

Requirements

Pursuing a Masters degree in Computer Science, Information Technology, or a related field
Knowledge of Python (or Java), SQL, JSON, and XML
Knowledge of data warehousing architecture techniques and familiarity with Kimball methodology
A strong interest in data engineering, displaying the ability to design, implement, and maintain complex data pipelines
Capacity to analyze the company's broader data landscape and architect scalable data solutions that support growth
Excellent communication skills to collaborate effectively with both technical and non-technical stakeholders
A self-motivated and detail-oriented individual with the ability to tackle and solve intricate technical challenges.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLJSONXMLETLdata warehousingdata pipelinesdata architecturedbtTerraform

Soft Skills

communicationproblem-solvingself-motivateddetail-orientedcollaboration

Certifications

Masters degree in Computer ScienceMasters degree in Information Technology