Senior Data Engineer

• Designing, building, and maintaining robust and scalable data pipelines (ETL/ELT).

• Architecting data models and data warehouse solutions (e.g., Snowflake, Redshift, BigQuery).

• Working with tools like Spark, Airflow, Kafka, and dbt to ensure high-quality data delivery.

• Collaborating across teams to define and implement best data practices.

• Monitoring, optimizing, and troubleshooting data systems for performance and reliability

• 5+ years of experience in Data Engineering or related field.

• Strong programming skills in Python, Scala, or Java.

• Experience with SQL and relational/non-relational databases.

• Deep knowledge of cloud platforms (AWS, GCP, or Azure).

• Familiarity with orchestration and workflow tools

Morgan McKinley