Senior Data Engineer

Regal Cinemas, Inc; Knoxville (TN); Hybrid; USD 125,000 - 180,000; Full time

Benefits offered by this job

Hybrid work arrangement

Medical and dental coverage

401(k) with company match

Paid time off

Employee movie passes

Job summary

Regal Cinemas, Inc. is seeking a Senior Data Engineer to join our team in Knoxville with hybrid work options. You will design robust data pipelines, implement SQL-based transformations with dbt, and build scalable data models and warehouse infrastructure.

You will collaborate with enterprise units, ensure data quality, and drive governance and CI/CD practices across data workflows. Strong SQL, Python, and cloud skills are essential.

Qualifications

• Bachelor’s degree in CS, IS, or related field or equivalent experience.
• 5+ years in data engineering/analytics engineering roles.
• Strong SQL skills across relational sources and cloud data warehouses.
• Experience with Snowflake, dbt, ETL/ELT, and data modeling.
• Proficiency with Python and data ingestion frameworks (e.g., Fivetran, Airbyte).
• Experience with CI/CD for data workflows and IaC tooling (Terraform).
• Knowledge of RBAC, data governance, and privacy/compliance.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build SQL-based transformations and incremental processing in dbt.
• Architect data models and dimensional/aggregate schemas.
• Manage warehouse infrastructure using IaC and cloud services.
• Collaborate with business units to define data requirements.
• Optimize data systems for performance, scalability and cost.
• Enforce data quality with automated tests and reconciliation.
• Implement CI/CD pipelines for data workflows and governance controls.
• Mentor engineers and share best practices.

Skills

SQL

dbt

Python

ETL/ELT

Data Modeling

CI/CD

RBAC

Data Governance

REST APIs

Snowflake

Education

Bachelor’s degree or above

Tools

dbt

GitHub Actions

Airflow

Terraform

Fivetran

Airbyte

Azure

Snowflake

Job description

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 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)