Senior Data Engineer: Scale Data Pipelines & Analytics

Highmark Health; Phoenix (AZ); Presencial; USD 103.000 - 165.000; Jornada completa

Descripción de la vacante

enGen is seeking a senior data engineer to design, build, and maintain robust data pipelines and data infrastructure. You will ensure reliable data movement, quality, and governance across multiple platforms while collaborating with analysts, engineers, and product teams.

The role emphasizes scalable architectures, data modeling, and secure data handling with exposure to cloud services like Snowflake, Redshift, and BigQuery. A strong mentoring mindset is expected.

Formación

• 5+ years of experience designing and analyzing algorithms, data structures, and patterns for scalable systems.

Responsabilidades

• Design, develop, and maintain data processes to ensure efficient movement and transformation across systems.
• Develop and maintain data models, databases, and data warehouses to support BI and analytics.
• Collaborate with IT, product, analytics, and business teams to gather requirements and provide data solutions.
• Monitor production schedules, provide progress updates, and report issues to lead developers.
• Implement and manage data governance, ensuring data quality and regulatory compliance.
• Collaborate on data security measures including access controls, encryption, and masking.
• Mentor associate and intermediate data engineers as needed.
• Perform data analysis to support decision-making across departments.
• Stay current with industry trends and emerging data engineering technologies.

Conocimientos

Data pipelines

SQL

Data warehousing

Data governance

Data security

Mentoring

Cross-functional collaboration

Cloud platforms

ETL development

Educación

Bachelor's degree in CS/IS/DS/CE or related field

Herramientas

Snowflake

Redshift

BigQuery

Apache Airflow

AWS Glue

Azure Data Factory

Descripción del empleo

enGen is seeking a senior data engineer to design, build, and maintain robust data pipelines and data infrastructure. You will ensure reliable data movement, quality, and governance across multiple platforms while collaborating with analysts, engineers, and product teams.

The role emphasizes scalable architectures, data modeling, and secure data handling with exposure to cloud services like Snowflake, Redshift, and BigQuery. A strong mentoring mindset is expected.