Senior Data Engineer

Socket.dev; Knoxville (TN); Hybrid; 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

As a Senior Data Engineer, you will play a critical role in designing, building, and optimizing scalable data pipelines and architectures that support advanced analytics, machine learning, and business intelligence initiatives.

You will own the full path data takes through the platform: ingesting from source databases, third-party APIs, and vendor file feeds; landing and transforming it into governed warehouse models; and provisioning the underlying warehouse infrastructure as code. The platform spans on-premises and cloud source systems across a large, multi-domain estate (hundreds of source tables and transformation models) supporting business areas such as point-of-sale/box-office, loyalty, payments, and digital analytics.

You will collaborate closely with data scientists, analysts, and business stakeholders to ensure data is accessible, reliable, and actionable. This role requires a deep understanding of data engineering best practices, cloud platforms, and modern data stack technologies.

What will you be doing?

• 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), including incremental processing strategies and macros
• Architect and implement robust data models, dimensional models, and aggregate models.
• Provision and maintain warehouse infrastructure - databases, schemas, roles, and grants - 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/credit budget monitoring
• Ensure data quality and integrity through automated testing, source-to-target reconciliation, freshness monitoring, and documentation
• Implement and maintain performant 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 onto current platform capabilities
• Mentor junior engineers, review peers' code, and contribute to team knowledge sharing and best practices
• Create comprehensive documentation of existing and planned data processes

About you

• 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 and experience integrating relational source databases, on-premises and/or cloud-hosted (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 in data modeling, ETL/ELT processes, and data warehousing solutions
• Experience with a general-purpose programming language and associated 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 - able to document decisions and trade-offs clearly for technical and non-technical audiences
• Ability to work cross-functionally with technical and non-technical teams

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)

About Regal

Regal Cinemas – where movie magic meets unforgettable experiences!

At Regal Cinemas, part of Regal Global Entertainment, each day is a celebration of everything film and entertainment. From the first popcorn crunch to the closing credits, we’re all about creating moments that spark joy, laughter, and a little bit of movie magic.

With over 7,600 screens across 625 locations in 9 countries, including Cineworld, Picturehouse, Cinema City, Yes Planet, and Regal Cinemas right here in the US - we bring the joy of movies to millions.

Based out of our buzzing Theatre Support Office in Knoxville, Tennessee, we offer a variety of roles with a mix of hybrid, field-based, or remote working options, depending on the role.

What really makes Regal shine? Our people. We’re passionate about supporting your growth and helping you carve out your dream career within the Regal Global Entertainment family. Fancy joining us on this epic film adventure? Dive into the Regal stories and see what life’s like behind the scenes of the big screen!

Read more about the Regal culture here – Regal Careers

Our Benefits

• Discretionary annual bonus
• Free movie passes and discounted concessions at any Regal location
• Paid vacation time and sick leave to support a healthy work-life balance
• Eligibility to participate in our 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

Inclusion & Belonging

At Regal Global Entertainment, we believe our strength comes from the diversity of our people. We are committed to fostering a workplace where everyone feels valued, respected, and empowered to bring their authentic selves to work. Our commitment to inclusion and belonging embraces all aspects of identity, including gender, ethnicity, age, disability, sexual orientation, religion, and background.

We take pride in creating an environment where differences are celebrated and everyone has equal opportunities to succeed. Our hiring process is designed to be fair and accessible, welcoming applicants from all backgrounds. If you need any accommodations during the hiring process or in the workplace to support your needs, please contact the Talent team.

If you have any questions about this role or working at Regal Global Entertainment please contact [e-mail]. We may close this vacancy early if we receive a high volume of applications, so we encourage you to apply as soon as possible