Senior Data Engineer

Cinemark; Plano (TX); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Employee Discount

401(k) Matching

Growth Opportunities

Education Assistance

Health Benefits

Parental Leave

Paid Time Off

Daily Pay

Free Movies

Job summary

Cinemark is looking for a Senior Data Engineer to design and optimize enterprise-scale data platforms within Azure and Microsoft Fabric. This role involves architecting scalable data solutions and ensuring data quality and integrity across platforms.

The ideal candidate has over 5 years of data engineering experience and a strong background in ETL processes, distributed data processing, and collaboration with stakeholders. Join Cinemark for a rewarding career with comprehensive benefits.

Qualifications

• 5+ years of experience in data engineering.
• Experience delivering enterprise-scale data solutions.
• Strong analytical mindset focused on building scalable systems.

Responsibilities

• Architect and deliver enterprise‑grade data pipelines using Azure technologies.
• Design and implement end‑to‑end data solutions.
• Manage high‑volume transactional data from multiple source systems.

Skills

Data architecture

Distributed data processing

ETL/ELT engineering

Collaboration

Communication

Education

Bachelor's or Master’s degree in Computer Science or related field

Tools

Azure Data Factory

Synapse Analytics

T-SQL

Python

PySpark

Job description

Join Our Team

As part of our Cinemark Universe, you'll discover fun opportunities with real growth potential and plenty of perks. With 500+ theatres and nearly 6,000 screens; we're truly a global presence of 20,000 movie lovers working together to make unforgettable experiences.

Role Summary

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize enterprise‑scale data platforms. This role is a key technical contributor responsible for architecting modern, scalable data solutions within the Microsoft Azure and Microsoft Fabric ecosystems.

The ideal candidate brings deep expertise in data architecture, distributed data processing, and advanced ETL/ELT engineering, and thrives in a fast‑paced environment delivering high‑performance, business‑critical data solutions.

Key Responsibilities

• Architect and deliver enterprise‑grade data pipelines using Azure technologies such as Azure Data Factory, Synapse Analytics, ADLS, and Microsoft Fabric
• Design and implement end‑to‑end data solutions, including ingestion, transformation, and serving layers across medallion architectures
• Develop and optimize scalable ELT/ETL pipelines using T‑SQL, Python, and PySpark for both batch and real‑time data processing
• Enable low‑latency, parallel data processing to support timely analytics and reporting needs
• Manage and process high‑volume transactional data from multiple source systems, ensuring accuracy, quality, and consistency
• Design and maintain Data Vault 2.0 models (Hubs, Links, Satellites) and multi‑layer data architecture (raw, business, reporting layers)
• Build scalable data platforms supporting advanced analytics, distributed compute, and unified data environments
• Collaborate cross‑functionally with data architects, analysts, and business stakeholders to deliver effective data solutions

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 5+ years of experience in data engineering, delivering enterprise‑scale data solutions
• Proven ability to work independently on complex technical solutions with minimal supervision
• Strong collaboration and communication skills in cross‑functional environments
• Microsoft Azure certifications (or equivalent cloud certifications) are preferred

Preferred Skills

• Expertise in Microsoft Azure data services and Microsoft Fabric ecosystem
• Strong knowledge of data modeling techniques, including Data Vault 2.0 and medallion architecture
• Advanced programming skills in T‑SQL, Python, and PySpark
• Experience with distributed data processing and big data platforms
• Strong analytical mindset focused on building scalable, resilient, and high‑performance systems
• Ability to manage competing priorities in a fast‑paced environment while ensuring data quality and integrity
• Excellent communication and documentation skills to translate technical solutions for business stakeholders

Why Join Us

• Opportunity to work on next‑generation data platforms leveraging Azure and Microsoft Fabric
• Exposure to large‑scale, high‑impact data initiatives driving business value
• Collaborative environment with strong alignment to analytics, data science, and business teams

Benefits Available

At Cinemark, we believe every team member should feel like a hero. Each career comes with a variety of blockbuster benefits for both hourly and salaried team members.

• Employee Discount
• 401(k) Matching*
• Growth Opportunities
• Education Assistance*
• Health Benefits*
• Parental Leave*
• Paid Time Off*
• Daily Pay*
• Free Movies*

*Benefits may vary by career category, so be sure to check the specific details on our career site.

Equal Employment Opportunity

Cinemark is an Equal Opportunity Employer

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.