Senior Data Engineer - AI-Ready Data Pipelines (Hybrid)

Moffitt; Magnolia (AR); Hybrid; USD 108,000 - 165,000; Full time

Job summary

Moffitt in Magnolia, AR is seeking a Senior Data Engineer to design, build, and operate data pipelines across cloud-based and on-prem systems. You will enable AI-ready data for analytics and enterprise applications, using Snowflake, dbt, and modern lakehouse architectures.

The role requires 8+ years, strong SQL, Python, Spark, and collaboration with cross-functional teams. It offers hybrid work with partial in-office time and focuses on data quality, security, and governance in HIPAA-regulated

Qualifications

• 8+ years of experience implementing data engineering initiatives.
• 3+ years of cloud experience with AWS and/or Azure.
• Experience with modern data integration and transformation tools (dbt, AWS Glue, Azure Data Factory).

Responsibilities

• Design, develop, and deploy data pipelines for data warehouses, marts, and lakehouse environments.
• Build and maintain infrastructure for ETL/ELT data extraction and loading from diverse sources.
• Ensure data quality, security, and governance, including HIPAA compliance.
• Mentor team members and provide on-call production support.

Education

Bachelor’s degree in Information Systems or Computer Science

Tools

Snowflake

dbt

Git

CI/CD

DevOps

Azure Data Factory

Azure Data Lake Storage Gen2

Microsoft Fabric

Apache Iceberg

Spark

Kafka

Airflow

Python

Job description

Moffitt in Magnolia, AR is seeking a Senior Data Engineer to design, build, and operate data pipelines across cloud-based and on-prem systems. You will enable AI-ready data for analytics and enterprise applications, using Snowflake, dbt, and modern lakehouse architectures.

The role requires 8+ years, strong SQL, Python, Spark, and collaboration with cross-functional teams. It offers hybrid work with partial in-office time and focuses on data quality, security, and governance in HIPAA-regulated