Senior Data Engineer — Remote Pipelines & Cloud DW

Socket.dev; Knoxville (TN); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Discretionary annual bonus

Free movie passes

Paid vacation & sick leave

401(k) with company match

Summer half-day Fridays

Medical and prescription coverage

Life insurance

Dental and vision

Additional coverage options

Job summary

Regal Cinemas seeks a Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. You will own end-to-end data flow from ingestion to governed warehouse models, across on-prem and cloud systems for BI, analytics, and ML initiatives.

You will collaborate with data scientists, analysts, and stakeholders to ensure data is accessible, reliable, and actionable. Strong SQL, dbt, Python, and cloud experience are essential.

Qualifications

• Experience designing and maintaining scalable data pipelines and data models.
• Hands-on with cloud data warehouses (e.g., Snowflake) and ETL/ELT processes.
• Proficiency in SQL and data governance practices.
• Experience with dbt, CI/CD for data workflows, and version control.

Responsibilities

• Design, develop, and maintain robust data pipelines.
• Build SQL-based transformation models in dbt with incremental processing.
• Architect dimensional and aggregate data models.
• Provision warehouse infrastructure as code.
• Collaborate with business units to understand data requirements.
• Optimize data systems for performance and cost.
• Ensure data quality with automated testing and reconciliations.
• Maintain CI/CD pipelines for data workflows.
• Implement data governance and security controls.
• Migrate legacy data and reporting onto current platform.
• Mentor engineers and share best practices.
• Document data processes.

Skills

SQL

dbt

Python

Airflow

Terraform

Cloud platforms

Education

Bachelor's degree or higher

Tools

Snowflake

GitHub Actions

Fivetran

Airbyte

dbt

Job description

Regal Cinemas seeks a Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. You will own end-to-end data flow from ingestion to governed warehouse models, across on-prem and cloud systems for BI, analytics, and ML initiatives.

You will collaborate with data scientists, analysts, and stakeholders to ensure data is accessible, reliable, and actionable. Strong SQL, dbt, Python, and cloud experience are essential.