Senior Data Engineer

Regal Cinemas, Inc is hiring a Senior Data Engineer for hybrid work in Knoxville, TN.

Responsibilities

• Design, develop, and maintain robust, scalable, efficient data pipelines
• Build and maintain SQL-based transformation models in a version-controlled analytics engineering framework (e.g., dbt), including incremental processing strategies and macros
• Architect and implement data models, including dimensional and aggregate models
• Provision and maintain warehouse infrastructure such as databases, schemas, roles, and grants using infrastructure as code
• Collaborate with enterprise business units to understand data requirements
• Optimize data systems for performance, scalability, and cost-efficiency (including compute sizing and cost or credit budget monitoring)
• Ensure data quality and integrity using automated testing, source-to-target reconciliation, freshness monitoring, and documentation
• Implement and maintain CI/CD pipelines for data workflows
• Implement and maintain data governance and security controls, including role-based access, column-level data masking, and support for privacy/compliance requests
• Migrate and modernize legacy data and reporting systems to current platform capabilities
• Mentor junior engineers, review peers’ code, and support team knowledge sharing and best practices
• Create comprehensive documentation for existing and planned data processes

Requirements

• Bachelor’s degree or above in Computer Science, Information Systems, or a related science field (or equivalent practical experience)
• 5+ years of experience as a Data Architect, Data Engineer, Analytics Engineer, or similar role
• Strong SQL skills integrating relational sources across on-premises and cloud-hosted systems (e.g., SQL Server, MySQL/Amazon RDS)
• Hands-on experience with a cloud data warehouse platform (e.g., Snowflake)
• Experience ingesting from non-relational sources: REST APIs, cloud analytics exports (e.g., BigQuery/GA4), and vendor file feeds (e.g., SFTP, fixed-width/CSV)
• Proficiency with data modeling, ETL/ELT, and data warehousing solutions
• Experience with a general-purpose programming language and testing/code-quality practices (e.g., Python)
• Experience with a SQL transformation/analytics engineering framework (e.g., dbt)
• Experience with Python-based ingestion frameworks or managed connectors (e.g., dlt, Fivetran, Airbyte)
• Hands-on experience with cloud platforms (e.g., Azure: Blob/ADLS, Data Factory, Key Vault, Entra)
• Hands-on experience with orchestration tools (e.g., Airflow, Prefect)
• Hands-on experience with infrastructure as code tools (e.g., Terraform)
• Experience with version control and CI/CD (e.g., GitHub Actions, Bitbucket Pipelines)
• Implementation experience with data governance, security, and compliance standards (e.g., RBAC, column-level masking, PII handling)
• Excellent analytical, problem-solving, and written communication skills, including documenting decisions and trade-offs for technical and non-technical audiences
• Ability to work cross-functionally with technical and non-technical teams

Technology Stack

• SQL, dbt, dbt macros
• Python, dlt, Fivetran, Airbyte
• Snowflake, SQL Server, MySQL, Amazon RDS
• REST APIs, BigQuery, GA4, SFTP, CSV
• Azure, Blob/ADLS, Data Factory, Key Vault, Entra
• Airflow, Prefect, Terraform
• GitHub Actions, Bitbucket Pipelines

Benefits

• Discretionary annual bonus
• Free movie passes and discounted concessions at any Regal location
• Paid vacation time and sick leave
• Eligibility to participate in the 401(k) retirement plan with company match after age 21 and one month of service
• Summer half-day Fridays during the summer season
• Medical and prescription coverage, with company contributions toward the cost
• Company-paid life insurance and disability insurance at no cost to employees
• Dental, vision, and supplemental life insurance options available for employees and their dependents
• Additional coverage options including accident, critical illness, and hospital indemnity insurance

Preferred Criteria

• Experience with hybrid connectivity between cloud and on-premises networks (e.g., VPN/VNet, private endpoints, DNS forwarding)
• Experience with CDP, reverse-ETL, or audience activation tooling (e.g., RudderStack, Braze, Google Ads Customer Match)
• Experience with BI platform security models (e.g., Power BI row-level security, Sigma)
• Familiarity with data catalog and lineage tooling (e.g., DataHub)
• Experience migrating off legacy ETL/BI stacks (e.g., SSIS, SSAS, SQL Server Agent)