Senior Data Engineer

Join Regal Cinemas, Inc. to design and operate scalable data platforms that power analytics, machine learning, and business intelligence.

Responsibilities

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

Requirements

• Bachelor’s degree or above in Computer Science, Information Systems, or 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 source databases, including on-premises and/or 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 such as REST APIs, cloud analytics exports (e.g., BigQuery / GA4), and vendor file feeds (e.g., SFTP, fixed-width/CSV)
• Proficiency in 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 or 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

Technologies

• 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

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)

Benefits

• Discretionary annual bonus
• Free movie passes and discounted concessions at any Regal location
• Paid vacation time and sick leave
• Eligibility to participate in a 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

Location: Knoxville, TN (hybrid)

Minimum experience: 5 years

Summary: Design, build, and optimize scalable data pipelines and architectures for analytics, machine learning, and business intelligence; own end-to-end data flow from ingestion through governed warehouse models and infrastructure as code.